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2020.07.27 13:13 blind27JJul What is the Number One Da-ting A-pp ?

What is the Number One Da-ting A-pp ?
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2020.04.08 05:18 PotentialSubsBot Top Potential Subreddits: r/IllShootYourDog with 122, r/amthorwichsvorlagen with 119 and r/MoreThanOneJoke with 111 upvotes

Potential Subreddits found today

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IllShootYourDog CCW permalink 122
amthorwichsvorlagen ich_iel permalink 119
MoreThanOneJoke TheRightCantMeme permalink 111
dogerule34 dogelore permalink 55
guyslib MensLib permalink 51
birdsincoupletherapy DivorcedBirds permalink 46
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cornmensanatomy BadMensAnatomy permalink 42
cinephilecirclejerk moviescirclejerk permalink 40
kinoriseup moviescirclejerk permalink 37
movies moviescirclejerk permalink 36
spinnywhinnies slammywhammies permalink 35
foundthebruhmoment dogelore permalink 32
konosube Konosuba permalink 32
untersichfielfuer ich_iel permalink 26
nobath Drama permalink 25
fatpeoplecope Drama permalink 24
actorsriseup moviescirclejerk permalink 24
suddenlybigender pointlesslygendered permalink 23
ihaventpaidmytaxes ihavereddit permalink 20
WhatsWrongWthUrHuman WhatsWrongWithYourCat permalink 17
netscapepagesIfellfor AskAnAmerican permalink 17
somewhatexpectedJoJo Konosuba permalink 17
expectedprisonmike unexpectedoffice permalink 15
capitalismwashingporn OldPhotosInRealLife permalink 15
beachedwhale1945 WarshipPorn permalink 15
peanutbutterbread Old_Recipes permalink 14
belegtebr ich_iel permalink 14
idioten ich_iel permalink 14
idontknowbutitsstupid ihavereddit permalink 12
unexpectedSeinfield theydidthemonstermath permalink 12
ItSoKaYtObEaNaZi TheRightCantMeme permalink 11
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humansaretheenemy Tiresaretheenemy permalink 7
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ketodesserts xxketo permalink 6
socalistRA lostgeneration permalink 6
armchairphyscologist rpghorrorstories permalink 6
bearsdoinghuman CHIBears permalink 6
JeSuisBeaucoupSmart French permalink 6
hydroamigos LeagueOfMemes permalink 5
toiletpaperusa ToiletPaperUSA permalink 5
robliefeldanatomy BadMensAnatomy permalink 5
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amazingrobloxcreation roblox permalink 4
lesspeak IncreasinglyVerbose permalink 4
giraffesarentreal thanksihateit permalink 4
jarariums PlantedTank permalink 4
TallPeopleArentReal BadMensAnatomy permalink 4
imsorrytossboy jacksepticeye permalink 4
VRVictim virtualreality permalink 3
bewaryofgreypoptarts untrustworthypoptarts permalink 3
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decrerbose IncreasinglyVerbose permalink 3
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TheTwitchy programminghorror permalink 3
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2020.03.07 07:32 RemovedCommentsBot Removed comments/submissions for /u/VelocityMax

Hi VelocityMax, you're not shadowbanned, but 12 of your most recent 163 comments/submissions were removed (either automatically or by human moderators).

Comments:

f6vjzud in TopMindsOfReddit on 08 Nov 19 (0pts):
Maybe you're just being a fragile black Redditor.
f6vh208 in TopMindsOfReddit on 08 Nov 19 (3pts):
You seem pretty racist to me.
f4u5f1p in worldnews on 23 Oct 19 (2pts):
Your mom must have farted you out because I suspect you were born a complete asshole.
Edit: 197k members now. That's pretty explosive.
f27pjw5 in unpopularopinion on 02 Oct 19 (1pts):
And yet that has never happened to a tranny, go figure 😂
f25iwih in unpopularopinion on 02 Oct 19 (1pts):
He gets accepted because he gets magically turned into a real boy. Can you magically turn a tranny into a real girl you pompus shit?

Submissions:

ef86ey in RaidShadowLegends on 24 Dec 19 (1pts):
Who should I 6 star?
cv4ii4 in Elune_en on 25 Aug 19 (1pts):
Transcend question
9yi03b in reddeadredemption on 19 Nov 18 (1pts):
How Do I Delete A Save File On PS4?
348p5u in CalgaryFlames on 29 Apr 15 (0pts):
TIL something absolutely amazing about Sam Bennett.
2y1r08 in confession on 05 Mar 15 (1pts):
I used to hook up with swingers.
2y0vth in AskReddit on 05 Mar 15 (3pts):
Ladies who use Tinder, do you get a lot of Penis pics on there?
2xy6ez in AskReddit on 04 Mar 15 (2pts):
It's time for the great ass wiping debate! Are you a sitter, or a stander?
I'm a bot. My home is at /CommentRemovalChecker - check if your posts have been removed! (How to use)
Help us expose and stand up to social media bias and censorship!
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2018.09.27 23:00 GraxPy 09/27/18

Post# Title Subreddit Url Upvotes
1 Wife left me alone with the kids for the first time and after asking for an update I sent her this /funny link 123020
2 Art is Art /gifs link 99719
3 Paralyzed man invents a mechanism that allows other people who have trouble eating with utensils to more easily feed themselves. /interestingasfuck link 85584
4 Stefán, we did it. /dankmemes link 82117
5 Dunkin- the dog that flies over everything no matter how tall they are. Except for vacuums. F*** vacuums. /aww link 89051
6 I think he took the news well 😆 /funny link 71602
7 My work friend is 17 this year, she rides for hours on the tractor with me. /aww link 58957
8 Been going for 4 hours and I need to present my masters thesis in 7 minutes. /Wellthatsucks link 56193
9 I'll just road rage on this guy behind me. /instant_regret link 54518
10 I think I adopted Anubis /aww link 54555
11 President Trump referred to a Kurdish journalist as "Mr. Kurd" during a press conference on Wednesday. "Yes, please, Mr. Kurd, go ahead" Trump said in a press conference at the United Nations in New York while calling on a journalist. The Kurds are a Iranian ethnic group in the Middle East. /worldnews link 54242
12 Final resting place of Stephen Hawking in Westminster Abbey. (His tomb is right in front of Isaac Newtons). /pics link 53405
13 President Trump cites China's respect for his 'very, very large brain' /worldnews link 50115
14 Ontario government to allow pot smoking wherever tobacco smoking allowed /news link 49094
15 Today is my cake day and I would love to share my favourite photo of my cat Soup /aww link 48361
16 This gave me a good chuckle /Tinder link 47898
17 One of those days.. /gifs link 47218
18 My odometer has no 0, one 1, two 2s, three 3s AND four 4s. /mildlyinteresting link 55135
19 Steph Curry can't even beat a few South Koreans.. /funny link 50739
20 Baby bear with a baby deer /aww link 45418
21 In January, the 24-hour Taco Bell that got me and my friends through college burned down. Today, it re-opened. /pics link 45327
22 made me smile, but also tear up /MadeMeSmile link 44282
23 Gordon Ramsey needs to see this /funny link 44078
24 'No such animal as clean coal': Mayor of Texas city powered by solar and wind pokes the bear - 'In Georgetown, we make our decisions based on the facts,' says Dale Ross /Futurology link 43140
25 Blue whale blowing a rainbow heart /pics link 42642
26 Firefighter Air Walk /interestingasfuck link 45256
27 Liam Hemsworth and Jeff Goldblum dressing up as 90s Rock might be the greatest photograph in the history of photography. /pics link 40293
28 Aged like fine wine /DunderMifflin link 37072
29 FBI OPEN UP /dankmemes link 37206
30 If you have to purchase a VIP ticket for an event you probably aren’t an actual VIP. /Showerthoughts link 40830
31 TIL Bob Dylan introduced the Beatles to cannabis. He rolled a joint and passed it to Ringo, who didn't realize he was supposed to pass the joint and smoked the whole joint to himself /todayilearned link 43898
32 This should be the new pic. /ChoosingBeggars link 36202
33 Sheep shearing /oddlysatisfying link 36140
34 Beautiful sunrise over the North Shore in Minnesota [OC] [3962x4952] /EarthPorn link 35919
35 TIL of Ham, the chimp who was the first hominid in space, trained by NASA to operate a capsule in space. His trainer described the moment he was recovered from his capsule following the project – “I have never seen such terror on a chimp’s face” /todayilearned link 35269
36 Got my drivers license today, now im in the middle of nowhere eating taco bell at midnight /happy link 35552
37 Heaven's gate. China. /BeAmazed link 36337
38 For all of you /wholesomememes link 33573
39 What's the biggest red flag you overlooked because your SO was so hot? /AskReddit link 33014
40 The internet the last few days /dankmemes link 33578
41 Kavanaugh misled senators under oath before to get confirmed /politics link 32313
42 TIL that following LeBron James' decision to leave Cleveland and join the Miami Heat, the sports memorabilia company Fathead lowered the price of wall graphics depicting James from $99.99 to $17.41: the birth year of infamous American traitor Benedict Arnold /todayilearned link#Critical_reception) 32140
43 It's Difficult to Overstate How Unhinged, and Legitimately Scary, That Trump Presser Was /politics link 31816
44 Batsh#t crazy in 5,4,3,2.... /WTF link 31217
45 You’re beautiful /wholesomememes link 31771
46 If you and another person have to compete for two options, one better than the other, you should say something like, “Oh, go ahead – you choose”, and the odds are that she or he will not only leave the better option for you, but also think that you’re generous, suggests new research. /science link 32674
47 How to drive a nail with a single hit /Unexpected link 31761
48 [Serious]People who have had somebody die for you, what is your story? /AskReddit link 32641
49 Don't you fucking touch my kid. /AnimalsBeingJerks link 31410
50 Chris Wallace: My daughters disclosed incidents from their youth after Kavanaugh allegations /politics link 30340
submitted by GraxPy to GraxPy [link] [comments]


2018.07.17 06:55 hafu19019 For everyone who wants the old sticky post. You can save this and spam people with it.

🔴If love is not colorblind, and half-Asians come from White fathers, 73% of the time, and Asian women are fetishized
🔴what happens when racist, conservative, anti-feminist, anti-western women, unattractive, older, weird, rejected, creepy white men (e.g., "sexpats," MGTOWs, racists and rejects) who fetishize and prey on Asian women as "more feminine / submissive / pro-white / traditional" than White (or other) women,
🔴and, Asian women who have a "preference" for white men and white features, (even for racists against Asians and Asian men)
have sons who grow up to look more Asian as they get older?
Half Asian sons with Asian mothers can be VERY high risk, especially if they are forced to identify as Asian men as they get older, in a world where white men and white features are considered superior, even by their parents, and racism against Asians is intense and gendered
and have to deal with crippling gendered stereotypes, racist double standards, fetishes and dysfunction at home, lack of media representation, and having a racist, weird, unattractive, sexpat or bottom of the barrel white father who fetishizes Asian women as a "traditional, low-standard, pro-white" alternative to non-Asian women, while attacking Asian men with his wife, who can in turn be a racist, unloving, self-loathing, callous Tiger Mother who attacks her own child for looking too Asian, casually attacks Asian & Half-Asian men, hypes up her child for being half-White, and pushes for White privilege and status.
What happens when Asian women, the only race of women to exclude their own race in favor of a specific type of White men, produce Asian looking sons?
🔴Why is it that, despite being vastly outnumbered, the sons and daughters of Asian men & White / non-Asian women are far more successful and happier in every country that they exist? Why are the most famous Half Asians of all time (Keanu Reeves, Dean Cain, Bruce and Brandon Lee, Alexa Chung, Tommy Chong, Mike Sui, Tim Wu, Maya Soetoro, Penny Wong, Sydney Park, and 90% of biracial high level athletes, and virtually every biracial-Asian head of state or politician) all the children of White or non-Asian women? 🔴Why are Asian women targeted by certain types of antisocial, racist, undesirable, awkward and low status men, and what kind of message does it send to Asian looking children that it is so fundamentally unbalanced whereby only White (rarely other, and oftentimes "weird" and "rejected") fathers create Eurasian sons? 🔴Why are half-Asians the only group to hype up their ethnicity, despite having average to below average looking parents, and not having any major success? Why do Half-Asians have a tendency towards being very arrogant, erratic, white-supremacist, and self-deprecating? 🔴Why does it seem that men who pursue Asian women (as a last resort due to being unattractive) seem to hate Asian men, White women, and hypocritically AMWF, and how does that affect the Asian looking son? 🔴Why do famous White Nationalists John Derbyshire, Kyle Chapman, and Chuck C. Johnson all have Asian wives? Why were Richard Spencer and Andrew Anglin linked with Asian women romantically? Why do women like Michelle Malkin, Elaine Chao, Shan Ju Lin and Tila Tequila support extreme racism against Asians in an attempt to integrate and gain status? Why are there Half Asians overrepresented in White supremacist movements? 🔴Why do insecure Asian women harass women who date Asian and Half Asian men, and why do they seem to resent non-Asian women? 🔴If White men are the only fathers of biracial Asian sons and Asian women are envious of White women - doesn't that imply that Whiteness is desired, rather than Asianness? 🔴If Half Asian men are so hot - why don't Asian women want them? Why don't White women or Half Asian women want them? Why don't White women want half Asian babies? Why do so many Half Asian men marry, live and work in Asia - if they are truly global? Why are Hapas that look less Asian, more highly valued? 🔴If Half-Asians are primarily valued on their looks, and the hope that they don't resemble Asian men - what happens when Eurasian sons are neither good looking, or just look like Asian men, or both? Do looks protect against racism and highly-racialized fetishes and extreme dysfunction inside and outside the home? This subreddit is NOT against intermarriage, but to point out the difficulties of coming from one of the largest disparities, and power imbalances, that only seems to involve white men (rarely others) and Asian women, and discusses the fetishization many men have for Asian women while disregarding the health of the children; /Hapas theories the imbalance has long lasting effects on the offspring. Asian women have an unusually high out-marriage rate and seem distasteful of Asian men and preferential towards Whiteness for status and integration. Their gendered out marriage rate is so famous, that, it can be argued that White men "prefer" Asian women for questionable reasons - meaning a "specific type" of white men seems to "prefer" Asian women. No other ethnic group "prefers" Eurasian or Asian men, and AW/WM pairings outnumber AM/WW woman pairings by astronomical rates, and Asians are subject to racism and sexual stereotypes according to the gender. So what happens when "cute Hapa babies" grow up to resemble Asian men, the same men that Asian women (and the rest of the world) dislike? Surely, this must have some psychological effect. Most white men prefer White women. Most white women prefer white men. Most Asian women prefer white men. 🔴So a "subset" of white men prefer Asian women - and seem to be overrepresented as racists, anti-social MRAs, conservatives, alt-rightists, White Nationalists, men who savagely hate Asian men, Western and White women, Islamophobes, low status men, conspiracy theorists, MRAs, MGTOWS, red-pillers, anti-feminists, anti-blacks, and yes, even Nazis.
What happens when Eurasians, as a whole, resemble Asian men and women, and have to live with this legacy? Summary: Interracial pairings can oftentimes represent progress - however, in certain cases, people form relationships according to old, latent ideas of nuanced, gendered racism and notions of power, status and hierarchies. Asian women are the ONLY women on earth to favor men other than their own... 🔴So what happens when these highly psychosexualized pairings (masculine white / effeminate Asian) have sons and daughters who look very Asian? Do yellow-fever / white-fever fetishes, status-marriages, racial and sexual hierarchies and racism in the home lead to happy children? /hapastheorizes that young Hapa people can be high risk and looks to be a safe space to talk honestly about our identity and mental issues. Points of discussion: Parents of biracial Asian children being abnormally racist, anti-progressive (i.e., believing that Asian women are "more traditional," easier, "anti-black", "pro-white," "thinner, "replacement white women," and more "feminine"; Asian men are losers, ugly, weak, feminine; while white men are more powerful "alpha males"/ more masculine). White men seeking out Asian women being unusually hateful towards Asian males (and even Eurasian males) and White women. Half Asians being pushed by White dads / Asian moms as "superior" simply to create a safety net for the massive interracial disparity that only involves racist White men and Asian women, despite lack of evidence of success Why do the vast, vast majority of Eurasians have white fathers, if love is colorblind? Children of non-Asian mothers being empirically more successful. High incidence of psychological and emotional abuse from Asian mothers / mothers in law Asian women hoping that their children look White for privilege Asian women being "used" as an answer to low social desirability of white men Asian women praising the child's White features while contemptuous of Asian features Extreme, broken, sexless, loveless homes with unattractive white fathers, and nagging, bitter Asian mothers Asian women being extremely hostile to non-Asian women, and even attempting to disrupt AMWF couples Our entire value being our looks, a value we fail to achieve most of the time Why do so many Neo-Nazis, conservatives, alt-rightists and White Nationalists have Asian wives? White men who "prefer" Asian women being unusually racist, lower status, physically unattractive, emotionally disturbed, or "losers" White men and Asian women having hateful, racist, spiteful views against Asian men, whom their children resemble, due to the white man's insecurity and low-status among Whites Incredible hypocrisy where WMAW is tolerated while AMWW is looked down on, even by WMAW couples, and White men who like Asian women, hating AMWW. Half Asian children looking full Asian, even playing full Asians on TV Half Asian women being afforded more opportunities than their male counterparts. Fetishistic, racist, low-effort nature of parents negating any possible benefits. Parents of biracial Asians pushing their children as a eugenic "master race" - despite most Asians looking very Asian, and looking very average and lower on the hierarchy than full whites. Parents of biracial Asians pushing their children to marry certain ethnicities as a way to control their respective gendered image; i.e., sons date Asian, daughters date white. High representation of WMAF children in national newstories for erratic, violent and unusual behavior Eurasians demonstrating extreme white-worshipping behavior, or disdain for Asian appearance, even getting involved in White Nationalism Parents are not willing to address racism, or contribute to racism against their children (e.g., Asian women marrying extremely racist, mentally unstable white men or underestimating the severity of white racism) Failure of Hapas to integrate; Asian women enjoying high status and integration, half Asian sons being isolated and excluded. Physical, emotional or sexual abuse of Hapa children within the home due to mentally ill, racist parents; i.e., racist white father seeking submissive Asian woman, cruel Asian mother Physical / verbal abuse between low-value white men / status-climbing Asian women. Hapa children forcefully rejecting their Asian identity / appearance Hapa children being taught “Asian culture” despite their mothers’ avoidance of Asian culture for 30 years Exclusion from white / Asian social circles. WMAF parents being socially isolated or ostracized Lack of WMAF Eurasians in any positions of power or prominence despite huge numbers. Double standards in dating - Asian women are accepted, while Asian / Hapa men are expected to be single. Emasculation, humilation of [Asian males being passed onto the Hapa sons] “Hapa identity" being one of White father / Asian mother, and being a lookism contest where those with the most Caucasian features are prized. Severe lack of successful and prominent Hapas with Asian mothers despite their high numbers. Overrepresentation of Hapas with Asian fathers, despite their low numbers. First and foremost, External Websites: www.stuffeurasianslike.wordpress.comwww.longingfordeath.wordpress.comhttp://hapafeminism.tumblr.comhttp://hapasons.wordpress.comwww.halfasianhalfdead.wordpress.com A Cartoon for those Who Don't Feel Like Reading www.halfasian.orgHard data sets on half-Asian suicide / substance abuse / violent / behavioral problems Mixed-race adolescents showed higher risk when compared with single-race adolescents on general health questions, school experience, smoking and drinking, and other risk variables. Hapa adolescents more likely get regularly drunk, smoke, commit suicide, from NAPAfASA Asian-white couples face distinct pregnancy risks, Stanford/Packard Biracial Asian/White candidates were perceived as significantly less warm and competent than their monoracial counterparts." UC Davis Peer Reviewed Study: "34 percent of biracial individuals in a national survey had been diagnosed with a psychological disorder" Data demonstrating higher rates of substance abuse / suicide / violence among multiracial Asians KEY POSTS FROM REDDIT.COM/HAPAS, SINCE ITS INCEPTION IN SEPTEMBER, 2014 Asian women on /hapas or elsewhere admitting that Asian men are physically unattractive and that there's a chance their children will be too. Asian female poster admitting Asian males are unattractive Asian woman admits to wanting white men for status, hopes for a girl On the reality of looking Asian as a Eurasian male; Proof that White Looking Hapas Have Privilege Zach Schwartz, Vice Magazine journalist, does an AMA regarding the undesirability of Asian men and Asian looking Eurasian men. 2006: "As the number of hapa celebrities increase, so will the number of hapa bad apples. Will the future see truly fucked up hapas whose parents met on the internet, dumped them in a foreign country?" COMMUNITY POST: WHY HALF-ASIAN GIRLS HAVE IT EASIER (THAN HALF-ASIAN GUYS) 2011: "I Am The Asian Looking Son Of A White Dad And Asian Mom" Post that got Razib Khan fired as NY Times Op Ed writer: 5/23/00- most intelligent Eurasian men might also be the most “nerdish” as Mr. Sailer would say. This would make it rather more difficult for them to attract high status “blondes.” 2009: "Asian/White hapa's are for the most part really good looking, but they always have weird mental problems for some reason. Anger, depression, it's always something. Maybe it's the abusive father and over-subservient mother complex." Hapa in Sweden complains about being socially aloof and unwanted by society If you need to take one thing away from /hapas it should be this Growing up with an Asian mother and a white father, he explained that the perception of Asian maleness in his community was one of "complete inferiority.” “I grew up ashamed that being Asian I was ugly. I didn’t have my first girlfriend until I was 19 because of that,” Sarchet says. Sarchet is half-white but identifies as Asian. He is an offspring of a white dad from the Air Force and a first-generation Taiwanese immigrant. Zach Schwartz writes about being the Asian looking son of a white man and Asian woman, Vice Magazine A woman observes that while Eurasian girls are accepted, Eurasian boys are made outcasts because they are not white. In addition they are raised by Asian moms with values that make them unsuited for white society. 2007 Poetry: "Half Asians carry in their physical features / The burdens that EVERY “Asian American” carries / Embodied in their HALF-slanted eyes" 2011: "the Y chromosome is incomplete, so a male AMWW hapa will objectively have more Asian phenotypes than the other three types of possible Asian-white mixed children. a male WMAW hapa in contrast will have the least. And yes, this is rather ironic.” 2005: eurasian guys are stuck in the middle...singaporean girls don't want them because they are not caucasian enough and caucasian girls don't want them because they are not completely asian or completely caucasian. I am half German, half Korean. I experience racial slurs and bullying from everyone around me for looking different. I have, and will always, be treated like a second class citizen all because my white father was selfish enough to have kids with an Asian woman. Reddit: I feel so much pain and suffering. I'm a 25 year old half asian/half white guy. I live in North America and have lived my whole life celibate. I feel like no one finds me atractive... feel like race plays apart) In high school my best friend was half Asian half white, and he would always tell me of all the problems he had fitting in. In Freshman year of college he killed himself and in his suicide note he said multiple times how he hated being a half breed Reddit: "I've given up telling women I'm half-Asian, as they seem pretty hostile to the notion. Girls have called me Jackie Chan's bastard son, act surprised I speak English . I find random women staring at me frowning quite a bit." Blog: "An Asian-"American" woman supports the boycott of American Women, by White MRAs. Now Western women are boycotting her Eurasian sons." How Can Euro-Asian Males Build Self-Esteem? Gaijinpot: It is also well known that many half Japanese children, rejected by white chicks and weakened by their Japanese mothers who... make them wet, unassertive and drippy end up marrying another Japanese women. All evidence of your white genes will have been wiped out. "almost every half-Korean I know goes through some kind of identity crisis. White people never consider me to be white. Even though I'm just as much white as I am Korean, they... always bring up something about me being Asian." "I'll admit as a half-korean I also too sometimes feel negative when I see a ton of white-male asian-female couples, because they remind me of my parents." Proof that Asian womens' preference for white men is open and unapologetic racism, and not driven by feminism. Sharline Chiang: Over the next two decades I went on to date a lot of white guys (eventually I married a white guy). Still, I wasn’t white. "I don’t date Asian guys. I realise it’s racist, and that’s especially bad because I’m Asian too. I’ve been socially conditioned in Australia to see Asian guys as a different sort of prospect from non-Asian guys." WNYC.com: Korean woman rejects Indian man, saying: ‘I wouldn’t date you,’ or ‘I’ve only dated white men because I would want my children to have privilege and status" Gabrielle Wang: I wished I was white Even [Asian women] who... [followed] the clearest path of assimilation, starting with rejection of ethnic culture/identity during youth and then intermarriage, invariably confronted the question of ethnic identity after giving birth to children, page 202. "I like white men because innately I'm racist. White men represent physical strength, good genetics, socio-influence advancement, global socio-economic status." I'm an Asian Woman and I Refuse to Ever Date an Asian Man - xoJane I look for predominantly white males as partners, specifically those who are over 5'10" in height, with similar education level, and [who] are career ambitious. I prefer white men because they are more independent and don't have a tendency to be as needy as Asian men in relationships. Michelle Malkin wants to be White so bad that she's written at least one book justifying racial profiling Post-Colonial Lust: A White-Guy Groupie Confesses Evidence of the extreme hatred of Asian men / preference for whiteness as displayed by Asian women, that conflicts with their ability to raise Hapa sons; Evidence that WMAW can be driven by forces other than love. Famed Singaporean Blogger Xiaxue admitting that she wanted her son to look white Esther Ku, comedian, calls Asian and half Asian men animals to 100,000 fans "My wife called our unborn baby ugly... I am furious, but got really angry to her. Bleh." Xiaxue caught feminizing her hapa sons again and gets her eyelids done for a third time Tinder Experiments revealing closeted preference of Asian women for non-Asian men Margaret Cho, Asian female comedian, blatantly attacking Asian men Asian women screenwriters are even more insistent on putting WMAF into their films, and not having Asian male leads than White Men are. "There are excellent IVF clinics in Taipei." The group of Taiwanese women laughed at my naïveté. The reason she wanted the procedure done in the U.S... was that she wanted a "Caucasian" sperm donor. Contrary to my assumption, then, what this Chinese woman sought was not American medical science, but American genetic material. An Asian woman addresses the effect her hideous racist behavior will have on her Hapa sons by mocking what a beta virgin her own Eurasian son will be. Real audio recordings A Eurasian woman who "looks more Asian than her mother", calls a white-worshiping Asian woman SICK. "What are you going to tell your future "hapa" son if he turns out to look very asian?" "another online dating study...the most pitiful results yet" WMAF couples go on talk show to discuss their preference for each other's race. As expected they shit all over asian men and white women I just feel so sick having to imagine what their one year old son is going to have face, growing up with a white father and Asian mother who both look down on Asian men. Their son is going to grow up feeling like an Utter Piece of SHIT just because he’s an Asian male. LipStickAlley: "Even black women notice asian women only date ugly white guys" Conversation with Asian woman talking about how she hopes her sons are white Lipstick Alley: Asian woman who worships white men and would not date an Asian man, hopes for a Dean Cain hapa but ends up with a son who looks Asian like herself= Tragedy waiting to happen." Post from Lipstick Alley, two months before Elliot Rodger "That's pretty damn selfish man. You get to enjoy your "cute babies" but not one Eurasian guy I know really likes being Eurasian when he grows up in the West. Not one. They see their mother as rejecting all Asian men, wanting to be white, and their father as satisfying his exotic fetishism." NSFW "I'm not Chinese, but I am Japanese. My son was born with deep blue eyes which eventually turned green. He's 8 now. Lucky kid. LOL" Asian Woman Tila Tequila dressing her daughter as Hitler Tila Teuila paying tribute to Hitler Evidence of the hatred of Asian men displayed by White Men in relationships w/ Asian women / Various Racist / Conservative White Men Raising Eurasian Children. White Blogger, father to Asian looking Eurasian son, mocks Asian men /CCJ2 posters referring to their wives and children as chinks Richard Spencer, White nationalist and leader of alt right: "There's something about Asian girls" Bobby Fischer, Nazi-fanatic and anti-semite, married to two Asian women; Vice Magazine Brian Ruhe, Neo-Nazi, was married to a Thai woman Same White Blogger Asks: What could be worse than being an Asian woman in Asia and having to surrender your mystical Oriental hotness to Asian men? In no other race - white, black, Hispanic - are the women so much better-looking than the son Republican running for New Jersey Assembly writes book containing hate speech against women and minorities. I'm not a homophobe, I'm not anti-Semitic, not anti-Asian... My wife is Asian. My son is Korean. White Nationalist Neo-Nazi proclaims love of Asian girls New Zealander politician and head of National Party, Don Brash, criticized for his views on race relations in New Zealand. "Don Brash doesn't seem racist. He's married to an Asian woman." Should I tell my infertile Asian wife that I want all-white babies? Slate.com Friend drunkenly confessed the other night that he regretted having a half-Asian son. . "I feel fucking awful for saying this, but sometimes I look at him and it's more like looking at an alien than at a son". All the way back in 1999 Asiaphile George Winkel was concerned that the 1-drop rule would turn bright young Eurasians into little Al Sharptons against the white race John Derbyshire complains that despite giving his Eurasian daughter classical violin lessons starting at age 6, she enjoys hip hop music and is an anti-racist. "Nellie, with her well-practiced Uh-oh, Dad`s-in-racist-mode-again look of resignation and disgust" White guy in Japan who thinks he's handsome tells Japanese women that while there are pretty Japanese women, there is no such thing as a handsome Japanese guy Reddit: "He's afraid to have kids with me, because the children may not look like him." I don't find white women attractive, mainly because of their attitudes. I do however like asian women and I have a mixed son. The white men should get all the asian women and the asian men would rather go to a secret island with their buddies to drink beer and give hand jobs to eachother The moderator of /Whasians is a White Nationalist MRA with a Chinese wife and sons The creator of White Nationalist Nazi website, explains that marrying Asian women is the key to re-establishing the natural order of White Male Supremacy. Asian women are allies of White men, while White women are the enemies. The founder of the largest Nazi website points out that the Nazi attacking him for racemixing with Asians is a hypocrite- because he also racemixed with Asians. "he has several kids – who are coincidentally Asian, even while he attacks me for hanging out with Asian chicks" My wife is half Philipino. Her White father has several times made comments about "Rice is good for your eyes" and then proceeds to pull his eyes to a slant whenever my wife has eaten a rice dish etc etc. He hates the fact that she's part Asian and has told me to "Breed the Asian out of her" Heartiste: Red Pill PUAs debate whether its "beta" to mate with the easiest race of women. On the one hand they are not as challenging as Western Women, but OTOH you are stuck with virgin sons from the most beta race. Stormfronter: "Just because I myself have a half Japanese son doesnt mean that any half Japanese would get my vote, even assuming the other parent was white. I lived in Japan for years before becoming a white nationalist." Eurasian girl with white supremacist dad is confused about race and her sexuality On the fetishization / imbalance / stereotyping / anti-social behavior that occurs within the White Male / Asian woman relationships "My mother accused my father of being a racist who doesn’t care about Chinese culture. He accused her in turn of only marrying him out of rebellion, not love. Both are probably correct to a certain degree.” A Eurasian Woman theologian writes about how uncomfortable it made her going to Hapa events and seeing every single one of them had White dads. She suggests this might have influenced the psychology of Elliot Rodger. Peter Scully, creator of the most horrifying deep-web video "Daisy's Destruction, deliberately sought out Asian women Youtube: "White guy talking about Filipino ex-wife: "I just wanted a sex slave and a housekeeper" Biological Problems with Mixed-Race Families, Marriages Relationships & Adoptions Reddit: "hapa kids and my aunt, shocked and feeling helpless” The trend became especially popular in the 1970s, during the feminist movement in the U.S., when American women became “uncontrollable”and pamphlets that Asians were submissive and completely oriented to serve as wives captured American men’s imagination, Yuh says. I’m glad we got divorced. I am now raising our two Eurasian children in Australia. My Japanese ex-wife’s violent side was terrible. I couldn’t stand her lies anymore, or her neglect to our Eurasian sons. It was a very bitter experience "The scary part of my story is that it’s common and I’ve seen similar behavior in other Eurasian families. People do not understand what many Eurasian children have to go through, unless you specifically tell them what your parents said to you, and what they did to you." 2001: Hapa Male Growing Up in Hick Town. My White father was one of these ugly unattractive people who couldn't find anyone to love him / brought my Asian mother here 2000: My mother came to the United States in her late 20s. She is from Taiwan, and she met my father, a white, southern Baptist (redneck), at the University of South Carolina. they had a hard time starting out. She was an Asian after all, didn't exactly respect her because of her race. Crazed White father 'who carved PENTAGRAM into 6 y/o Hapa son's back in honor of 12-12-12 then smeared the boy's blood on his door' /Relationships: "A few days after my Eurasian son was born my Japanese wife screamed at him, called him "stupid" and "idiot" and "baka" and yelled about how much she hated him. As he grew, she started hitting him and kicking him." MultiAsianFamilies: "[She] never told the son who was crippled by polio about her relationship with his father. All she said was that the man was an American, a sergeant in the Army. He was one of the thousands of GIs who left children behind as victims of the conflict" Daily Mail: The Hapa children of a Red Light District in the Phillipines Chinese woman married to a convicted pedophile decide to give up hapa son that they got via surrogate mother in Thailand because he has down syndrom and only keep the daughter instead. I am half white but I do feel disconcerted that all the Asian women in my family are married to white men despite living in an Asian area and attending predominantly Asian universities. ..And yeah I have found that being even half Asian is a complete turn off to a lot of girls. I think I am a good looking guy but even my less attractive Caucasian friends get more attention from girls. Divorced White Dad uses his Half East Asian son as a tool to hit on Asian women, while also putting down Asian men to them. Antisocial Hapas in the News Elliot Rodger; "More incidents from the official police report on Elliot Rodger; that reveal how his Eurasian background and racial insecurities lead him to demonstrate a pathological hatred for Asian Men and White Women" Daniel Holtzclaw, WMAF; "The Rape Trial That Everyone in America should be Watching Hideki Irabu, player, son of a WMAF, spent his final days before suicide lost, without purpose. More on him Aaron Ybarra, 2012 Seattle University Shooter Arthur Patterson, responsible for 1997 murder in Burger King in Itaewon Julien Edgrin, Princeton student who was kicked out of uni and jailed for drugs. Father was an extreme weeaboo. Eurasian potential school shooter in “The Risk of School Rampage” by Eric Madfis JP Blanchard, 17 y/o Eurasian student who committed suicide, 2009 Poom Jensen, autistic son of the king of Thailand's eldest daughter, Princess Ubolratana Rajakanya, and her American (former) husband Peter Ladd Jensen; killed during 2004 tsunami Alex McGregor is Half Taiwanese / half Australian. “He doesn’t have friends. He finds it hard.” 2015: Justin Nojan Sullivan, half Asian who attempted to join ISIS to kill thousands. 2014: Matthew DeGrood, responsible for Calgary's worst mass murder * 2014-2015: Mattress Girl Kelly Wang, aka, Mayli, Georgetown educated daughter of banker who went on to do Facial Abuse video for two hundred dollars. 1994: Roger Hoan Brady, double murder, bank robbery 2013: David Renz, Pedophile who Stabbed a Mother During Attempted Rape of Daughter Jeffrey T. Johnson, 2012 Empire State Building Shooter* 2014: Isabella Yun Guzman, Stabbed Her Mother 151 Times 2015: Eric Bloss, Berkley Grad, son of White Father / Chinese Mother, attempted murder __________________________________ Various Hapas / Eurasians speaking the truth about WMAW relationships and being a Eurasian Discussion on comments by Self-Hating Eurasian Woman’s now deleted video U. of Michigan Press: On P. 201-202 a Eurasian woman calls on Hapas to question the basis of their very existence and how they are tied in to US imperialism in Asia. She feels that Eurasians only exist because of the Oriental exotic fetish. Hapa men also have the White Male mindset of objectifying Hapa women. I'm half asian, and pretty much any time I see an internet dating ad, it almost always says something to the extent of 'No Asians'. it's still discouraging when from the outset it seems they have a preset discrimination against those who have Asian blood. Eurasian male concerned that he is at the bottom of the gay hierarchy of attractiveness I'm 16 and i'm half asian. I'm thinking about coming out after highschool when I get to college but i'm concerned that other gay guys wouldnt find me attractive. Welcome to the world of being a second generation half-Korean, Born out of 2 Half Koreans. This is what happens when I visit my parents. Yep! Both of them! They were basically war babies from the Korean War between American soldiers and Korean Women. Being Hapa: Facing Racial discrimination on multiple fronts Reddit/Hapas: I am a first generation Korean American child that came from an abusive family with mixed values. "I knew mixed Koreans growing up. One mixed Korean was a half white /Korean guy. He looked really Korean and grew up in Ohio. His white father couldn't understand him or help him...nor can his Korean mom. Long story short ..he ended up on drugs and seeing therapy." "The hapa son who hates his white dad and Asian mom" /Japan: "I'm half Japanese & grew up in Japan, and I'm the product of a relationship like this. Seen first hand what a timid father marrying a strong willed and not submissive Japanese mother is like. nerds and losers end up fetishizing Asian girls as smart and submissive and willing to date nerds." Eurasian spends almost a decade refusing to be seen with Chinese mom in public Youtube: "Perhaps my most thought-provoking vlog; a rant on asian stereotypes that I've dealt with throughout my life...and I'm only HALF-ASIAN!" "I'm a Filipino mestizo living in the United States. My mother is Filipino, & my father is English.My entire life, I have been an outsider everywhere I went." "I know many half-Asian males that killed themselves because girls did not want them because of the fact that multi-cultralism makes Asian males look inferior."
submitted by hafu19019 to hapas [link] [comments]


2018.05.30 18:42 andrewjrivers Free Comedy Tickets!

Hi Reddit
My name is Andrew Rivers, I'm a comedian based out of Seattle. I'm headlining all week at the Comedy Cave here in Calgary. Wednesday, Thursday shows are 7:30. Friday and Saturday are 7:30 and 10. Sunday is 7:30.
The club said I could give away as many tickets as I want so, just send me a DM for what show you want and how many tickets you want and what name to put it under and I will message you to confirm. :)
I just released a comedy special, here's two clips from it that are hovering around 1 million views so you can get a taste of my comedy:
Service Dogs Camouflage
Honestly, I have a hot tinder date coming to the show tonight and I just don't want it to be 4 people in the audience lol.
EDIT1&3: OK. We're all full on comp tickets for Friday and Saturday 7:30 pm shows. Still have tickets for Thursday, Sunday. Or Friday/Saturday 10pm shows.
EDIT 2: Dry Bar just released another clip from my special. Hot off the Press: Dating a Comedian If you like it, share it on facebook to help me hit another million views. <3
submitted by andrewjrivers to Calgary [link] [comments]


2017.11.29 05:25 koja1234 My karma breakdown. Analyze please.

subreddit post comment Jokes 8349 25 AskReddit 1743 3732 Masub 4618 197 Celebs 813 263 HappyEmbarrassedGirls 1012 0 DeepFriedMemes 1 366 Parahumans 1 337 KeepOurNetFree 1 287 Eminem 1 243 whowouldwin 219 0 PetiteGoneWild 1 203 me_irl 28 169 dankmemes 1 173 FireEmblemHeroes 1 173 talesfromtechsupport 164 0 Animemes 1 163 FloridaGators 1 130 WayOfTheBern 1 125 detroitlions 1 113 ethtrader 1 111 minnesotavikings 1 110 DnDGreentext 1 109 BiggerThanYouThought 1 108 celebnsfw 76 31 SugarPine7 1 103 GoneMild 1 101 RealGirls 1 100 keto 1 100 gonewild 1 100 Kanye 1 94 sixers 1 93 AskRedditAfterDark 47 45 ik_ihe 1 86 PrequelMemes 1 83 ravens 1 83 marvelstudios 1 81 MLS 1 80 FrankOcean 1 79 SCP 1 72 MMA 1 70 osugame 1 70 ExpandDong 1 69 nsfw 1 69 RotMG 1 69 CrusaderKings 1 69 bangtan 1 68 Ice_Poseidon2 1 68 falcons 1 67 argentina 1 65 vertcoin 1 65 asstastic 1 65 RWBY 1 65 canucks 1 60 neoliberal 1 60 nickofnight 1 59 The_Donald 56 3 TheMassive 1 59 GoneErotic 1 58 Saints 1 58 leafs 1 58 pics 21 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submitted by koja1234 to KarmaBreakdown [link] [comments]


2017.01.09 14:54 LeafsGeeksPodcast The Casual Fan's Guide To Advanced Stats

I love that hockey analytics are starting to grow and I think that it’s a really important movement to help us get past some of our biases about players and try to objectively evaluate players’ performance (I’ll always hate Marchand though, #SorryNotSorry). I feel like it’s really improved the fan experience in other sports like baseball and basketball, since it gives us a better idea of who’s performing well and which players we need to run out of town with pitchforks...or hot dog rumours, whatever works. It’s also a great way to pick up hotties at the bar, so I mean how can you not wanna jump on board!?
So I’ve spent a long time working on this post (which is basically a novel at this point) because I feel like in the analytics community there’s a tendency to talk down to people who don’t understand the advanced numbers and come across as arrogant pricks (and to be honest I’ve been guilty of this and I’m trying really hard to change it). My goal here is to explain the concepts in a way that makes sense logically without getting too mathy - because I mean we ain’t come here to play skool right?
Before you go through the definitions though let me just make a quick distinction between “descriptive” and “predictive” stats. All descriptive means is that you’ve described something that’s happened, whereas predictive means you can predict what’s going to happen in the future - simple concepts but it’s really important to remember the differences. Alright onto the stats binge:
Relative Stats: Before I define anything I just want to clarify the concept of performing well ‘relative’ to your teammates. Since most people hate math I’ll try to use an example that’s more important to your life. You, your 3 closest friends and I make a group together on Tinder Social and swipe right on everything for a week. We only get 4 matches because I was blessed with Nathan Gerbe’s height and Zdeno’s Chara’s face. So you delete me from your group and instead add Carl to the group. Now you get 20 matches because he’s sexy af. So to put it simply: 4 with me, 20 without me. I have a Tinder Relative (Tinder Rel) of -16, whereas Carl has a Tinder Rel of +16.
Nerds like me love using relative stats because it helps cut through team effects. Anyone playing on Carl’s team is going to have good numbers, and anyone playing on my team is going to have dogshit numbers. So to get these relative numbers all you do is take a player’s __________ when they’re on the ice, subtract it by their __________ when they’re off the ice, and you get their __________ relative. In my example my team had 4 when I played, 20 when I wasn’t playing, so 4-20 = Tinder Rel of -16. This simple formula works with anything: shots, goals, shooting percentage, even Tinder!
CF% (Corsi For %): To put it simply it’s just shot differential. If you have a CF% of 50% it means that when you’re on the ice, your team generates half of the total shot attempts. Logically you want to generate more chances than the other team, so you want this number to be high (keep in mind that no team’s had a CF% above 60 since they started tracking it in 2007-2008). CF% is the stat most correlated with future performance. Long story short: Corsi > Goals when it comes to predicting future goal differentials. You can sustain dominant shot differentials, but you can’t sustain crazy swings in shooting luck (puck luck). Just ask the Colorado Avalanche, Calgary Flames, or...shit the Toronto Maple Leafs - under Carlyle we made the playoffs in a shortened season despite a horrible CF% and well, you saw what happened next.
League Average: Players (CF%Rel of 0), Teams (CF% of 50)
Based shot differential gods: Patrice Bergeron (+10 CF%rel), Hampus Linholm (+9 CF%rel), LA Kings (54 CF%)
Unbased shot differential bums: Shawn Thornton (-22 CF%rel), Josh Gorges (-7 CF%rel), Colorado Avalanche (46 CF%)
(this is my first time using CF%rel so just a reminder that Bergeron's team has a CF% of 62 with him and 52 without him, resulting in a +10 CF%rel)
xGF% (Expected Goals For %): To keep things simple, the ‘Expected Goals’ metric weights shots based on location (ie. shot from the boards would be weighted very low, whereas a shot from the slot would be weighted much higher). It also takes other factors into account like whether or not a player’s on their off-wing, whether a shot was a rebound, rush shot, etc. Based on all of the shots over the course of a game, it tells you how many goals you and your opponent are “expected” to score. Unfortunately the Expected Goals model I’m using (Corsica’s) isn’t as predictive as CF% when it comes to predicting future goal differentials. It’s extremely descriptive of how many scoring chances you’re generating/suppressing though, which is why I really like it.
(If you’re curious DTM About Heart has an Expected Goals model that’s actually more predictive than corsi – I’d use it if I could for analysis but he doesn’t have as much information publicly available at the player level as a website like Corsica. He’s written about his model here, and you can find all of his work on his twitter here, he posts updates daily)
League Average: Players (xGF%rel of 0), Teams (xGF% of 50)
Based xGF% gods: McJesus (+10 xGF%rel), Mark Giordano (+7 xGF%rel), Pittsburgh Penguins (53 xGF%)
Unbased xGF% bums: Steve Ott (-14 xGF%rel, sadly he’s not top 5), Zac Rinaldo, Arizona Coyotes (42 xGF%)
FSh% & FSv%: Okay so we all know what Sh% and Sv% are (% of Shots on goal that go in). All FSh% and FSv% means is the % of all UNBLOCKED Shots that go in, meaning it also includes shots that miss the net (the F stands for Fenwick which is just a stupid way of saying Unblocked Shots...man I really hate some of these stats’ names). This gives us a larger sample of shots - since we’re dealing with such small samples here it really helps to have more data points. The league average 5v5 FSh% this year is 5.5%, while the average 5v5 FSv% is 94.5% (they add up to 100, makes sense).
Research has shown that forwards have the ability to impact their team’s FSh%. To put it simply, a team will have an above average shooting percentage when their 1st line’s on the ice, and they’ll have a below average shooting percentage when their 4th line’s on the ice, which again makes sense. Maintaining a FSh% within a player’s talent level (6.5ish for 1st line, 6ish for 2nd line, 5.5ish for 3rd line, 5ish for 4th) is sustainable, but shooting well above or below that talent level is not sustainable. Save percentage is tricky and I’ll go over it more in the next definition. Basically over large samples we would expect all players’ on-ice save percentage to regress to their goalie’s mean FSv% ("mean" just means average). For example, Freddy “the #GOAT” Gauthier’s on-ice FSv% is 98.2 right now, yet Frederik Andersen’s career 5v5 FSv% is 94.8. Over time, we can expect the GOAT’s FSv% to regress back down to 94.8%.
League Average: Players & Teams (FSh% of 5.5, FSv% of 94.5)
Note: the following stats are since 2012 since shooting percentages vary so much in small samples (getting a HUGE sample dating back to 2012 ensures that the shooting percentage reflects the player's skill and not just good puck luck)
Based shooting gods: Steven Stamkos (7.1 FSh%), Johnny Hockey (6.9 FSh%...heh, and I mean being able to do shit like this helps), The Rangers (7.1 FSh%, but it should drop a bit).
Stone hands: Matt Hendricks (3.2 FSh%), Dustin Brown (4.1 FSh%), the Bruins (4.5 FSh%).
Players who have a huge impact save percentage: Kris Russell according to Peter Chiarelli, but more on that now...
Expected FSh% (xFSh%) & Expected FSv% (xFSv%): Using the Expected Goals statistic we talked about earlier, we can determine how well you can be “expected” to shoot based on shot locations. If you’re consistently getting shots from dangerous areas (like the blue zone in this image) you’ll have a higher xFSh%. If you’re only shooting from the yellow areas in that image, then you’ll have a lower xFSh%. The same logic applies defensively: if you’re allowing a ton of shots from the blue zone you’ll have a lower xFSv%, but if you’re doing a great job at suppressing those chances you’ll have a higher xFSv%. Quick note: I’ve found that forwards have a bigger impact on xFSh% than defensemen (makes sense since they’re typically the players generating the shots), so just keep that in mind.
League Average: Players & Teams (xFSh% of 5.5, xFSv% of 94.5)
Based goal generating gods: Auston Matthews (6.7 xFSh%), McJesus (6.5 xFSh%), the Maple Leafs! :) (6.5 xFSh%)
Shoots-from-the-boards: Brandon Bollig (career 4.9 xFSh%, needs to work on his skill), Shawn Thornton (4.2 xFSh%), the Florida Panthers (5.2 xFSh% - those damn Computer Boys/Girls, trying to play hockey on their spreadsheets)
Based defensive gods: Mikko Koivu (95.7 xFSv%), Jared Spurgeon (95.3 xFSv%), the Minnesota Wild (95.0 xFSv%, which is just absurd)
Unbased defensive bums: Phil Kessel (93.5 xFSv%), Evander Kane (93 xFsv% - and shocker I know right, I considered both those guys selke candidates), the Edmonton Oilers (sorry Chia, the snake oil you’re being sold isn’t helping exfoliate your skin...or improve your hockey team - when you have a lower Corsi Rel than Dan Girardi you’re gonna have a bad time)
PDO: What the hell is PDO and why is it called that? The name has a stupid story behind it, so let’s just call it Percentage Driven Outcomes. PDO is when you add up a team’s 5v5 shooting percentage + save percentage, that’s it. In theory it should be about 100. Since I’m using FSh% & FSv% in my analysis, PDO will refer to those two numbers added together, which again in theory should be about 100. If a team has a ridiculously high FSh% and FSv%, they might end up with a PDO of say 102.0 by the end of the year (or vice versa and end up with a PDO of 98.0). Historically, teams on extreme ends of the spectrum tend to regress closer to 100 the next season. This isn’t to say a team can’t have good shooting talent (ie. NYR, Washington), bad shooting talent (ie. Carolina, Arizona), good goaltending (NYR, Habs), or bad goaltending (ie. Carolina).
You probably already see how a team like Carolina can be expected to sustain a low PDO – since 2012 they’ve averaged the worst PDO in the league at 98.3, so you’re right. Similarly, a team like the Rangers have averaged a 101.3 PDO since 2012. It’s important to note that these are the two most extreme cases, and most teams will end up with a PDO closer to 100. When a team has an extremely high PDO (ie. above 103), we expect them to fall back down to earth eventually. When a team has an extremely low PDO (ie. below 97), they’re likely going to “regress to the mean”, meaning they’re likely to improve and get closer to 100. The same logic applies to forwards, although we can expect 1st line forwards to have a slightly higher PDO due to their shooting talent (PDO of 101ish) and 4th line to have a slightly lower PDO due to their stone hands (PDO of 99ish). Any crazy PDO swings in the mid 90s or 100s and you’ll know you can expect that player to regress to the mean over time.
Now a lot of people have trouble understanding why a team with a PDO of 102 is drastically different from 100, which is totally fair. The difference is essentially a 2% goal advantage you're getting on ALL unblocked Shots taken. That really adds up over time, and once you start to do the math you realize how impactful it is (ahhhhh he said math, kill it! KILL IT!!!). Don't worry I'll break it down for you. There's about 90 total unblocked shots in a game between two teams. Over the course of a full season thats over 7000 shots. 2% of that is 140 goals you got simply because of LUCK in a season. That's a lot of fucking goals. So just remember that when you see that a team's PDO is "only" 1% higher than it should be, that means 70 goals worth of luck.
League Average: Players & Teams (PDO of 100)
Who has a golden horseshoe stuck up their ass: Michael Grabner (107.8), Artim Anisimov (107.2), the Columbus Blue Jackets (shocker I know, PDO of 102.6)
Who’s been walking under too many ladders: Patrice Bergeron (97.0), Jake Muzzin (95.0), Colorado Avalanche (97.0 - they're bad but they shouldn’t be this bad)
GF% (Goals For %): Literally what it sounds like - the % of goals you’re on the ice for. If my team scores 60 goals and gives up 40 goals when I’m on the ice, I’ll have a GF% of 60%. Then again I'm a hoser, so I’d probably be a 40% guy. Now I’m not the biggest fan of goal metrics since, like we talked about, shooting percentage and save percentage varies like crazy in small samples. Save percentage takes about 3000 shots to stabilize whereas individual shooting percentage stabilizes at the player level after 275 shots for forwards & 175 shots for defensemen. ‘Stabilize’ in this sense basically just means “actually reflects the player’s true talent.” This is why I say we’re dealing with small samples. Even a one year sample of a player (~1000 minutes 5v5) is still too small to get much meaning out of goal metrics.
The reason I like looking at them is because they’re perfectly descriptive of goal differentials, which at the end of the day is all we care about right? We want our team to score lots of goals and not allow any. We all want players who can drive goal differential. The problem with GF% is that even though it’s extremely descriptive of what’s happened, it’s not as predictive of future goal differentials compared to stats like CF% and xGF%. I find that GF% is a good way to see who the public perceives (correctly I might add) to be having a good impact on play, but might not necessarily be expected to sustain that performance moving forward.
tl;dr (can’t blame you for not wanting to read that essay, plus that guy sucks at writing) - CF% and xGF% are sustainable. Maintaining a FSh% within a player’s talent level (6.5ish for 1st line, 6ish for 2nd line, 5.5ish for 3rd line, 5ish for 4th) is sustainable, but any wild deviations from this are unsustainable. Wild swings in FSv% and PDO are unsustainable and will regress back to the mean over time.
A good way to know if someone’s on-ice save percentage is sustainable is by comparing their xFSv% and their FSv%. If they’re outperforming their “Expected” save percentage, they’re having good luck and they can be expect to regress back to their goalie’s career average FSv% over time. Vice versa if they’re underperforming their “Expected” save percentage, it just means they’re having bad luck.
This same logic applies to the difference between xSh% & xFSh%, although players’ shooting talent can result in them consistently outperforming their expected shooting percentage. Guys like Stamkos, Kane, and Karlsson for example consistently score more goals than they’re “Expected” to based on their shot locations. It’s because they can do things like this, this and this, while other mortals can’t. On the other hand you have guys who consistently underperform their expected shooting percentage (Hornqvist, the Staals and Gallagher are good examples). This doesn’t necessarily mean they’re bad scorers - Gally and Horn...y? generate a shit ton of chances and are elite in terms of how many goals they’re “expected” to score, they just end up scoring slightly less than their godly “expected” numbers. I have a theory that guys who play a ‘net presence’ role typically underperform their expected goals, but it’s just a theory at this point.
You made it to the end of the definitions and you didn't die! Here have a cookie! Thanks for staying with me on this. If you’re ever looking to join the magical world that is advanced stats, there’s this wonderful place called Corsica (awesome website, I highly recommend it to anyone looking to get into the nerdy side of hockey #TalkNerdyToMe). Now you can do pretty analysis of a team like this:
League Average: FSh% & xFSh% (5.5), FSv% & xSv% (94.5), CF%/xGF%/GF% (50%)
Team CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Columbus Blue Jackets 51.1% 51.2% 55.8% 6.2% 6.5% 93.7 95.4%
Line CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Saad-Wennberg-Foligno 51.9% 52.6% 68.8% 5.8% 6.6% 93.7 96.3%
Jenner-Dubinsky-Atkinson 50.0% 48.2% 48.3% 6.0 5.5% 93.6 95.6%
Calvert-Karlsson-Anderson 47.7% 48.0% 55.8% 7.4 5.6% 93.2 96.7%
Hartnell-Sedlak-Gagner 54.7% 65.2% 77.5% 7.9% 8.6% 94.8% 97.4%
Pairing CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Werenski-Jones 52.1% 49.0% 51.2% 5.5% 6.0% 93.7 94.5%
Johnson-Savard 53.5% 56.4% 62.7% 6.9 6.6% 93.7 96.3%
Murray-Nutivaara 47.8% 48.8% 57.0% 6.6 5.8% 93.6 96.8%
I picked Columbus because they’ve been pretty hot lately...on the ice I mean. Sorry about that, got distracted. Columbus is a perfect example of a team that’s currently outperforming their underlying numbers. Their expected FSv% is about 93.7 and Sergei Bobrovsky’s career average FSv% is 94.7...but damn look at those FSv% numbers they’re putting up. Everything about their save percentage seems unsustainable, so it’s doubtful they’ll ride out the rest of the season on a FSv% north of 96. The more realistic scenario is that those numbers regress back down closer to somewhere between their expected FSv% (93.6) and Bobrovsky’s career average (94.7), but hey crazier things have happened.
Also this isn’t to say they’re a bad team. They have the best PP in hockey this year, two excellent pairings on D, and incredible depth scoring. I’ll be damned if that’s not the best 4th line in hockey. I’d give my left nut for the Leafs to throw out those guys instead of me ripping out my hair for 10 minutes a night watching Ben Smith attempt to play hockey. Just remember when you’re evaluating this team that the CF% and xGF% are more indicative of their true talent than the inflated GF% they’ve been putting up lately. I expect them to be a very solid team and make the playoffs, but if we’re being realistic this probably isn’t the best team in the East moving forward. They’re a very solid team, I love their depth, but they’re just not as good as a team like Montreal (and it kills me to say that). You know what sorry I take that back, FUCK THE HABS!!!
But anyways you’re probably sitting there wondering why you spent so much time reading about #SpreadsheetHockey when you could’ve been doing something important with your life. Don’t know what to tell you...I agree. But thanks for taking the time to read through this. You probably see enough numbers at school or work, so I know how hard it is to sit here and listen to me ruin the simple game of hockey for you. I wish I could tell you that the better team always wins, that you can sort the best players in the league by Points & Plus-Minus, and that goaltending isn’t voodoo - but life sucks man. Unfortunately it’s more complicated than that and there’s a lot of bullshit going on. Puck luck is real, variance is real, and at the end of the day dominating shot & scoring chance differential is the best way to sustain success.
If you want to convince yourself that some teams are able to shoot way higher than the stats indicate they're "expected" to or have their goalie consistently perform well above his career average...take it from me man, it sucks but I've seen first hand that the bottom falls out of that shit eventually. I ignored the advanced numbers forever, hell my Leafs made the playoffs in 2013 and followed it by signing gritty veteran leaders like Clarkson and Bolland. We were going places! Then the bottom fell out of it and it forced me to go back and question everything. Looking back at the numbers, all of the red flags were there. We were an absolute garbage team when it came to generating shots and scoring chances (46 CF% and 46.5 xGF% which is horrible - like bottom 5 in the league bad). We somehow won games though because our goal differential was elevated by an unsustainable team shooting percentage, save percentage and a flat-out absurd PDO (103.0 which is just ridiculously unsustainable). Whenever I saw anyone talk about this I just neglected it because I wanted to convince myself that my team was different.
I hate to be that douchey stepdad but sorry: you’re not special kid. Regression doesn’t care about you or your hopes and dreams. It's going to come crashing down on you whether you like it or not (and trust me you won’t like it, it’s worse than the feeling of knowing you spent $15 on Batman vs Superman). Math sucks and everyone hates it, but unfortunately #TheMathIsReal and it affects the game if you’re looking to forecast future performance. If we just want to be descriptive about hockey that’s cool, goals & wins are awesome at that. But if we want to take the next step and predict future goal differentials & wins, unfortunately we have to take principles like Corsi, PDO, regression, and - I know sports people hate this - "luck” into account when we’re analyzing the game.
If you hung in there for all of this holy shit you’re a rockstar, internet high-five for putting up with this asshole for 20+ paragraphs (don’t lie did you actually give the high-five...because I did). If you enjoyed this be sure to pass it along to anyone you know that might be interested, I’m always happy to talk about this stuff. So if you have any questions please do either ask here or send me a DM on twitter here (I have a weird obsession with hockey stats, bordering on a fetish). If you hated this don't worry I know where OP lives, we can egg that punk’s house together! But anyways thanks for reading guys and girls, long time lurker in the hockey community and thought I would try to contribute to it the best way I knew how: by making people hate math even more.
Cheers! :)
edit: woah wtf gold! I'm just a poor boy from Mississauga, I've never seen this before. Do I smoke it or something?
submitted by LeafsGeeksPodcast to hockey [link] [comments]


2017.01.08 22:52 LeafsGeeksPodcast The Casual Fan's Guide To Advanced Stats

I love that hockey analytics are starting to grow and I think that it’s a really important movement to help us get past some of our biases about players and try to objectively evaluate players’ performance (I’ll always hate Marchand though, #SorryNotSorry). I feel like it’s really improved the fan experience in other sports like baseball and basketball, since it gives us a better idea of who’s performing well and which players we need to run out of town with pitchforks...or hot dog rumours, whatever works. It’s also a great way to pick up hotties at the bar, so I mean how can you not wanna jump on board!?
So I’ve spent a long time working on this post (which is basically a novel at this point) because I feel like in the analytics community there’s a tendency to talk down to people who don’t understand the advanced numbers and come across as arrogant pricks (and to be honest I’ve been guilty of this and I’m trying really hard to change it). My goal here is to explain the concepts in a way that makes sense logically without getting too mathy - because I mean we ain’t come here to play skool right?
Before you go through the definitions though let me just make a quick distinction between “descriptive” and “predictive” stats. All descriptive means is that you’ve described something that’s happened, whereas predictive means you can predict what’s going to happen in the future - simple concepts but it’s really important to remember the differences. Alright onto the stats binge:
Relative Stats: Before I define anything I just want to clarify the concept of performing well ‘relative’ to your teammates. Since most people hate math I’ll try to use an example that’s more important to your life. You, your 3 closest friends and I make a group together on Tinder Social and swipe right on everything for a week. We only get 4 matches because I was blessed with Nathan Gerbe’s height and Zdeno’s Chara’s face. So you delete me from your group and instead add Carl to the group. Now you get 20 matches because he’s sexy af. So to put it simply: 4 with me, 20 without me. I have a Tinder Relative (Tinder Rel) of -16, whereas Carl has a Tinder Rel of +16.
Nerds like me love using relative stats because it helps cut through team effects. Anyone playing on Carl’s team is going to have good numbers, and anyone playing on my team is going to have dogshit numbers. So to get these relative numbers all you do is take a player’s __________ when they’re on the ice, subtract it by their __________ when they’re off the ice, and you get their __________ relative. In my example my team had 4 when I played, 20 when I wasn’t playing, so 4-20 = Tinder Rel of -16. This simple formula works with anything: shots, goals, shooting percentage, even Tinder!
CF% (Corsi For %): To put it simply it’s just shot differential. If you have a CF% of 50% it means that when you’re on the ice, your team generates half of the total shot attempts. Logically you want to generate more chances than the other team, so you want this number to be high (keep in mind that no team’s had a CF% above 60 since they started tracking it in 2007-2008). CF% is the stat most correlated with future performance. Long story short: Corsi > Goals when it comes to predicting future goal differentials. You can sustain dominant shot differentials, but you can’t sustain crazy swings in shooting luck (puck luck). Just ask the Colorado Avalanche, Calgary Flames, or...shit the Toronto Maple Leafs - under Carlyle we made the playoffs in a shortened season despite a horrible CF% and well, you saw what happened next.
League Average: Players (CF%Rel of 0), Teams (CF% of 50)
Based shot differential gods: Patrice Bergeron (+10 CF%rel), Hampus Linholm (+9 CF%rel), LA Kings (54 CF%)
Unbased shot differential bums: Shawn Thornton (-22 CF%rel), Josh Gorges (-7 CF%rel), Colorado Avalanche (46 CF%)
(this is my first time using CF%rel so just a reminder that Bergeron's team has a CF% of 62 with him and 52 without him, resulting in a +10 CF%rel)
xGF% (Expected Goals For %): To keep things simple, the ‘Expected Goals’ metric weights shots based on location (ie. shot from the boards would be weighted very low, whereas a shot from the slot would be weighted much higher). It also takes other factors into account like whether or not a player’s on their off-wing, whether a shot was a rebound, rush shot, etc. Based on all of the shots over the course of a game, it tells you how many goals you and your opponent are “expected” to score. Unfortunately the Expected Goals model I’m using (Corsica’s) isn’t as predictive as CF% when it comes to predicting future goal differentials. It’s extremely descriptive of how many scoring chances you’re generating/suppressing though, which is why I really like it.
(If you’re curious DTM About Heart has an Expected Goals model that’s actually more predictive than corsi – I’d use it if I could for analysis but he doesn’t have as much information publicly available at the player level as a website like Corsica. He’s written about his model here, and you can find all of his work on his twitter here, he posts updates daily)
League Average: Players (xGF%rel of 0), Teams (xGF% of 50)
Based xGF% gods: McJesus (+10 xGF%rel), Mark Giordano (+7 xGF%rel), Pittsburgh Penguins (53 xGF%)
Unbased xGF% bums: Steve Ott (-14 xGF%rel, sadly he’s not top 5), Zac Rinaldo, Arizona Coyotes (42 xGF%)
FSh% & FSv%: Okay so we all know what Sh% and Sv% are (% of Shots on goal that go in). All FSh% and FSv% means is the % of all UNBLOCKED Shots that go in, meaning it also includes shots that miss the net (the F stands for Fenwick which is just a stupid way of saying Unblocked Shots...man I really hate some of these stats’ names). This gives us a larger sample of shots - since we’re dealing with such small samples here it really helps to have more data points. The league average 5v5 FSh% this year is 5.5%, while the average 5v5 FSv% is 94.5% (they add up to 100, makes sense).
Research has shown that forwards have the ability to impact their team’s FSh%. To put it simply, a team will have an above average shooting percentage when their 1st line’s on the ice, and they’ll have a below average shooting percentage when their 4th line’s on the ice, which again makes sense. Maintaining a FSh% within a player’s talent level (6.5ish for 1st line, 6ish for 2nd line, 5.5ish for 3rd line, 5ish for 4th) is sustainable, but shooting well above or below that talent level is not sustainable. Save percentage is tricky and I’ll go over it more in the next definition. Basically over large samples we would expect all players’ on-ice save percentage to regress to their goalie’s mean FSv% ("mean" just means average). For example, Frederik “the #GOAT” Gauthier’s on-ice FSv% is 98.2 right now, yet Frederik Andersen’s career 5v5 FSv% is 94.8. Over time, we can expect the GOAT’s FSv% to regress back down to 94.8%.
League Average: Players & Teams (FSh% of 5.5, FSv% of 94.5)
Note: the following stats are from 2012-Present since shooting percentages vary so much in small samples (getting a HUGE sample dating back to 2012 ensures that the shooting percentage reflects the player's skill and not just good puck luck)
Based shooting gods: Steven Stamkos (7.1 FSh%), Johnny Hockey (6.9 FSh%...heh, and I mean being able to do shit like this helps), The Rangers (7.1 FSh%, but it should drop a bit).
Stone hands: Matt Hendricks (3.2 FSh%), Dustin Brown (4.1 FSh%), the Bruins (4.5 FSh%).
Players who have a huge impact save percentage: Kris Russell according to Peter Chiarelli, but more on that now...
Expected FSh% (xFSh%) & Expected FSv% (xFSv%): Using the Expected Goals statistic we talked about earlier, we can determine how well you can be “expected” to shoot based on shot locations. If you’re consistently getting shots from dangerous areas (like the blue zone in this image) you’ll have a higher xFSh%. If you’re only shooting from the yellow areas in that image, then you’ll have a lower xFSh%. The same logic applies defensively: if you’re allowing a ton of shots from the blue zone you’ll have a lower xFSv%, but if you’re doing a great job at suppressing those chances you’ll have a higher xFSv%. Quick note: I’ve found that forwards have a bigger impact on xFSh% than defensemen (makes sense since they’re typically the players generating the shots), so just keep that in mind.
League Average: Players & Teams (xFSh% of 5.5, xFSv% of 94.5)
Based goal generating gods: Auston Matthews (6.7 xFSh%), McJesus (6.5 xFSh%), the Maple Leafs! :) (6.5 xFSh%)
Shoots-from-the-boards: Brandon Bollig (career 4.9 xFSh%, needs to work on his skill), Shawn Thornton (4.2 xFSh%), the Florida Panthers (5.2 xFSh% - those damn Computer Boys/Girls, trying to play hockey on their spreadsheets)
Based defensive gods: Mikko Koivu (95.7 xFSv%), Jared Spurgeon (95.3 xFSv%), the Minnesota Wild (95.0 xFSv%, which is just absurd)
Unbased defensive bums: Phil Kessel (93.5 xFSv%), Evander Kane (93 xFsv% - and shocker I know right, I considered both those guys selke candidates), the Edmonton Oilers (sorry Chia, the snake oil you’re being sold isn’t helping exfoliate your skin...or improve your hockey team - when you have a lower Corsi Rel than Dan Girardi you’re gonna have a bad time)
PDO: What the hell is PDO and why is it called that? The name has a stupid story behind it, so let’s just call it Percentage Driven Outcomes. PDO is when you add up a team’s 5v5 shooting percentage + save percentage, that’s it. In theory it should be about 100. Since I’m using FSh% & FSv% in my analysis, PDO will refer to those two numbers added together, which again in theory should be about 100. If a team has a ridiculously high FSh% and FSv%, they might end up with a PDO of say 102.0 by the end of the year (or vice versa and end up with a PDO of 98.0). Historically, teams on extreme ends of the spectrum tend to regress closer to 100 the next season. This isn’t to say a team can’t have good shooting talent (ie. NYR, Washington), bad shooting talent (ie. Carolina, Arizona), good goaltending (NYR, Habs), or bad goaltending (ie. Carolina).
You probably already see how a team like Carolina can be expected to sustain a low PDO – since 2012 they’ve averaged the worst PDO in the league at 98.3, so you’re right. Similarly, a team like the Rangers have averaged a 101.3 PDO since 2012. It’s important to note that these are the two most extreme cases, and most teams will end up with a PDO closer to 100. When a team has an extremely high PDO (ie. above 103), we expect them to fall back down to earth eventually. When a team has an extremely low PDO (ie. below 97), they’re likely going to “regress to the mean”, meaning they’re likely to improve and get closer to 100. The same logic applies to forwards, although we can expect 1st line forwards to have a slightly higher PDO due to their shooting talent (PDO of 101ish) and 4th line to have a slightly lower PDO due to their stone hands (PDO of 99ish). Any crazy PDO swings in the mid 90s or 100s and you’ll know you can expect that player to regress to the mean over time.
Now a lot of people have trouble understanding why a team with a PDO of 102 is drastically different from 100, which is totally fair. The difference is essentially a 2% goal advantage you're getting on ALL unblocked Shots taken. That really adds up over time, and once you start to do the math you realize how impactful it is (ahhhhh he said math, kill it! KILL IT!!!). Don't worry I'll break it down for you. There's about 90 total unblocked shots in a game between two teams. Over the course of a full season thats over 7000 shots. 2% of that is 140 goals you got simply because of LUCK in a season. That's a lot of fucking goals. So just remember that when you see that a team's PDO is "only" 1% higher than it should be, that means 70 goals worth of luck.
League Average: Players & Teams (PDO of 100)
Who has a golden horseshoe stuck up their ass: Michael Grabner (107.8), Artim Anisimov (107.2), the Columbus Blue Jackets (shocker I know, PDO of 102.6)
Who’s been walking under too many ladders: Patrice Bergeron (97.0), Jake Muzzin (95.0), Colorado Avalanche (97.0 - they're bad but they shouldn’t be this bad)
GF% (Goals For %): Literally what it sounds like - the % of goals you’re on the ice for. If my team scores 60 goals and gives up 40 goals when I’m on the ice, I’ll have a GF% of 60%. Then again I'm a hoser, so I’d probably be a 40% guy. Now I’m not the biggest fan of goal metrics since, like we talked about, shooting percentage and save percentage varies like crazy in small samples. Save percentage takes about 3000 shots to stabilize whereas individual shooting percentage stabilizes at the player level after 275 shots for forwards & 175 shots for defensemen. ‘Stabilize’ in this sense basically just means “actually reflects the player’s true talent.” This is why I say we’re dealing with small samples. Even a one year sample of a player (~1000 minutes 5v5) is still too small to get much meaning out of goal metrics.
The reason I like looking at them is because they’re perfectly descriptive of goal differentials, which at the end of the day is all we care about right? We want our team to score lots of goals and not allow any. We all want players who can drive goal differential. The problem with GF% is that even though it’s extremely descriptive of what’s happened, it’s not as predictive of future goal differentials compared to stats like CF% and xGF%. I find that GF% is a good way to see who the public perceives (correctly I might add) to be having a good impact on play, but might not necessarily be expected to sustain that performance moving forward.
tl;dr (can’t blame you for not wanting to read that essay, plus that guy sucks at writing) - CF% and xGF% are sustainable. Maintaining a FSh% within a player’s talent level (6.5ish for 1st line, 6ish for 2nd line, 5.5ish for 3rd line, 5ish for 4th) is sustainable, but any wild deviations from this are unsustainable. Wild swings in FSv% and PDO are unsustainable and will regress back to the mean over time.
A good way to know if someone’s on-ice save percentage is sustainable is by comparing their xFSv% and their FSv%. If they’re outperforming their “Expected” save percentage, they’re having good luck and they can be expect to regress back to their goalie’s career average FSv% over time. Vice versa if they’re underperforming their “Expected” save percentage, it just means they’re having bad luck.
This same logic applies to the difference between xSh% & xFSh%, although players’ shooting talent can result in them consistently outperforming their expected shooting percentage. Guys like Stamkos, Kane, and Karlsson for example consistently score more goals than they’re “Expected” to based on their shot locations. It’s because they can do things like this, this and this, while other mortals can’t. On the other hand you have guys who consistently underperform their expected shooting percentage (Hornqvist, the Staals and Gallagher are good examples). This doesn’t necessarily mean they’re bad scorers - Gally and Horn...y? generate a shit ton of chances and are elite in terms of how many goals they’re “expected” to score, they just end up scoring slightly less than their godly “expected” numbers. I have a theory that guys who play a ‘net presence’ role typically underperform their expected goals, but it’s just a theory at this point.
You made it to the end of the definitions and you didn't die! Here have a cookie! Thanks for staying with me on this. If you’re ever looking to join the magical world that is advanced stats, there’s this wonderful place called Corsica (awesome website, I highly recommend it to anyone looking to get into the nerdy side of hockey #TalkNerdyToMe). Now you can do pretty analysis of a team like this:
League Average: FSh% & xFSh% (5.5), FSv% & xSv% (94.5), CF%/xGF%/GF% (50%)
Team CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Columbus Blue Jackets 51.1% 51.2% 55.8% 6.2% 6.5% 93.7 95.4%
Line CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Saad-Wennberg-Foligno 51.9% 52.6% 68.8% 5.8% 6.6% 93.7 96.3%
Jenner-Dubinsky-Atkinson 50.0% 48.2% 48.3% 6.0 5.5% 93.6 95.6%
Calvert-Karlsson-Anderson 47.7% 48.0% 55.8% 7.4 5.6% 93.2 96.7%
Hartnell-Sedlak-Gagner 54.7% 65.2% 77.5% 7.9% 8.6% 94.8% 97.4%
Pairing CF% xGF% GF% xFSh% FSh% xFSv% FSv%
Werenski-Jones 52.1% 49.0% 51.2% 5.5% 6.0% 93.7 94.5%
Johnson-Savard 53.5% 56.4% 62.7% 6.9 6.6% 93.7 96.3%
Murray-Nutivaara 47.8% 48.8% 57.0% 6.6 5.8% 93.6 96.8%
I picked Columbus because they’ve been pretty hot lately...on the ice I mean. Sorry about that, got distracted. Columbus is a perfect example of a team that’s currently outperforming their underlying numbers. Their expected FSv% is about 93.7 and Sergei Bobrovsky’s career average FSv% is 94.7...but damn look at those FSv% numbers they’re putting up. Everything about their save percentage seems unsustainable, so it’s doubtful they’ll ride out the rest of the season on a FSv% north of 96. The more realistic scenario is that those numbers regress back down closer to somewhere between their expected FSv% (93.6) and Bobrovsky’s career average (94.7), but hey crazier things have happened.
Also this isn’t to say they’re a bad team. They have the best PP in hockey this year, two excellent pairings on D, and incredible depth scoring. I’ll be damned if that’s not the best 4th line in hockey. I’d give my left nut for the Leafs to throw out those guys instead of me ripping out my hair for 10 minutes a night watching Ben Smith attempt to play hockey. Just remember when you’re evaluating this team that the CF% and xGF% are more indicative of their true talent than the inflated GF% they’ve been putting up lately. I expect them to be a very solid team and make the playoffs, but if we’re being realistic this probably isn’t the best team in the East moving forward. They’re a very solid team, I love their depth, but they’re just not as good as a team like Montreal (and it kills me to say that). You know what sorry I take that back, FUCK THE HABS!!!
But anyways you’re probably sitting there wondering why you spent so much time reading about #SpreadsheetHockey when you could’ve been doing something important with your life. Don’t know what to tell you...I agree. But thanks for taking the time to read through this. You probably see enough numbers at school or work, so I know how hard it is to sit here and listen to me ruin the simple game of hockey for you. I wish I could tell you that the better team always wins, that you can sort the best players in the league by Points & Plus-Minus, and that goaltending isn’t voodoo - but life sucks man. Unfortunately it’s more complicated than that and there’s a lot of bullshit going on. Puck luck is real, variance is real, and at the end of the day dominating shot & scoring chance differential is the best way to sustain success.
If you want to convince yourself that some teams are able to shoot way higher than the stats indicate they're "expected" to or have their goalie consistently perform well above his career average...dude we're Leafs fans, it sucks but we've seen first hand that the bottom falls out of that shit eventually. I ignored the advanced numbers forever, hell we made the playoffs in 2013 and followed it by signing gritty veteran leaders like Clarkson and Bolland. We were going places! Then the bottom fell out of it and it forced me to go back and question everything. Looking back at the numbers, all of the red flags were there. We were an absolute garbage team when it came to generating shots and scoring chances (46 CF% and 46.5 xGF% which is horrible - like bottom 5 in the league bad). We somehow won games though because our goal differential was elevated by an unsustainable team shooting percentage, save percentage and a flat-out absurd PDO (103.0 which is just ridiculously unsustainable). Whenever I saw anyone talk about this I just neglected it because I wanted to convince myself that my team was different.
I hate to be that douchey stepdad, but for any Blue Jackets fans you may know I have a simple message for them: you’re not special kid. Regression doesn’t care about you or your hopes and dreams. It's going to come crashing down on you whether you like it or not (and trust me you won’t like it, it’s worse than the feeling of knowing you spent $15 on Batman vs Superman). Math sucks and everyone hates it, but unfortunately #TheMathIsReal and it affects the game if you’re looking to forecast future performance. If we just want to be descriptive about hockey that’s cool, goals & wins are awesome at that. But if we want to take the next step and predict future goal differentials & wins, unfortunately we have to take principles like Corsi, PDO, regression, and - I know sports people hate this - "luck” into account when we’re analyzing the game.
If you hung in there for all of this holy shit you’re a rockstar, internet high-five for putting up with this asshole for 20+ paragraphs (don’t lie did you actually give the high-five...because I did). If you enjoyed this be sure to pass it along to anyone you know that might be interested, I’m always happy to talk about this stuff. So if you have any questions please do either ask here or send me a DM on twitter here (I have a weird obsession with hockey stats, bordering on a fetish). If you hated this don't worry I know where OP lives, we can egg that punk’s house together! But anyways thanks for reading guys and girls, love the leafs community and thought I would try to contribute to it the best way I knew how: by making people hate math even more.
Cheers! :)
submitted by LeafsGeeksPodcast to leafs [link] [comments]


2016.12.03 14:02 no_period_bot Gild Statistics for 2016-12-03

Data from last 1000 gilds in a total of 338 subreddits (bolded subreddits are abnormally gilded):
Ranking Subreddit Gild Count
1. /AskReddit 113
2. /promos 72
3. /zen 37
4. /ireland 34
5. /pics 28
6. /gaming 27
7. /worldnews 25
8. /politics 20
9. /gonewild 16
10. /videos 13
11. /pcmasterrace 11
12. /funny 10
13. /gifs 9
14. /news 9
15. /television 9
16. /todayilearned 8
17. /nfl 7
18. /CasualConversation 7
19. /OldSchoolCool 7
20. /technology 7
21. /Showerthoughts 6
22. /AdviceAnimals 6
23. /canada 5
24. /hockey 5
25. /pathofexile 5
26. /formula1 5
27. /Overwatch 5
28. /buildapc 4
29. /Jokes 4
30. /Celebs 4
31. /ethtrader 4
32. /raisedbynarcissists 4
33. /movies 4
34. /conspiracy 4
35. /relationships 3
36. /linuxmasterrace 3
37. /woahdude 3
38. /WTF 3
39. /thenetherlands 3
40. /photoshopbattles 3
41. /mildlyinteresting 3
42. /pokemon 3
43. /leagueoflegends 3
44. /DeadBedrooms 3
45. /RocketLeague 3
46. /swordartonline 3
47. /EnoughTrumpSpam 3
48. /drunk 3
49. /explainlikeimfive 3
50. /sysadmin 3
51. /HighQualityGifs 3
52. /aww 3
53. /Tinder 3
54. /westworld 3
55. /bigseo 2
56. /IAmA 2
57. /Documentaries 2
58. /MakeupRehab 2
59. /2007scape 2
60. /soccer 2
61. /opiates 2
62. /theydidthemath 2
63. /australia 2
64. /photography 2
65. /JUSTNOMIL 2
66. /trees 2
67. /MemeEconomy 2
68. /hiphopheads 2
69. /weather 2
70. /Cooking 2
71. /FFXV 2
72. /TrollXChromosomes 2
73. /books 2
74. /nba 2
75. /singapore 2
76. /guns 2
77. /PetiteGoneWild 2
78. /GlobalOffensive 2
79. /nyjets 2
80. /Competitiveoverwatch 2
81. /ethereum 2
82. /malefashionadvice 2
83. /apple 2
84. /gonewildaudio 2
85. /AsiansGoneWild 2
86. /Calgary 2
87. /AskHistorians 2
88. /army 2
89. /france 2
90. /livecounting 2
91. /WritingPrompts 2
92. /ladybonersgw 2
93. /Cubers 2
94. /comics 2
95. /DotA2 2
96. /The_Donald 2
97. /SWGalaxyOfHeroes 2
98. /battlefield_one 2
99. /supremeclothing 2
100. /southpark 2
101. /TopMindsOfReddit 2
102. /AirForce 2
103. /RealGirls 2
104. /nottheonion 2
105. /nonononoyes 2
106. /bioinformatics 2
107. /hearthstone 2
108. /CFB 2
109. /atheism 2
110. /secretsanta 2
111. /audio 2
112. /PowerShell 2
Subreddits with less than 2 gilds are not shown.
If you're a mod or just a user, consider linking here to show your subscribers how you rank up against other subreddits!
submitted by no_period_bot to GildStats [link] [comments]


2016.10.12 14:03 no_period_bot Gild Statistics for 2016-10-12

Data from last 1000 gilds in a total of 353 subreddits (bolded subreddits are abnormally gilded):
Ranking Subreddit Gild Count
1. /AskReddit 99
2. /politics 58
3. /todayilearned 26
4. /RBI 24
5. /pcmasterrace 24
6. /videos 21
7. /baseball 15
8. /WTF 15
9. /Overwatch 15
10. /gifs 13
11. /pics 12
12. /counting 12
13. /funny 12
14. /gonewild 12
15. /CasualConversation 9
16. /DotA2 9
17. /worldnews 7
18. /nfl 7
19. /books 7
20. /leagueoflegends 7
21. /news 7
22. /CHICubs 7
23. /DestinyTheGame 7
24. /relationships 6
25. /The_Donald 6
26. /golf 6
27. /ukpolitics 6
28. /Showerthoughts 5
29. /IamApipeDream 5
30. /explainlikeimfive 5
31. /wow 5
32. /PhotoshopRequest 5
33. /starcitizen 4
34. /whatsthisbug 4
35. /Philippines 4
36. /Eve 4
37. /panthers 4
38. /EliteDangerous 4
39. /GlobalOffensive 4
40. /canada 4
41. /CalgaryFlames 4
42. /Android 4
43. /france 4
44. /Tinder 4
45. /westworld 4
46. /Jokes 3
47. /DMDadJokes 3
48. /HappyTrees 3
49. /mildlyinteresting 3
50. /NoMansSkyTheGame 3
51. /Planetside 3
52. /caseyneistat 3
53. /KerbalSpaceProgram 3
54. /PoliticalDiscussion 3
55. /hockey 3
56. /JUSTNOMIL 3
57. /Music 3
58. /talesfromtechsupport 3
59. /SFGiants 3
60. /OkCupid 3
61. /ethereum 3
62. /Damnthatsinteresting 3
63. /SquaredCircle 3
64. /BlackPeopleTwitter 3
65. /7daystodie 3
66. /me_irl 3
67. /gonewildcolor 2
68. /financialindependence 2
69. /syriancivilwar 2
70. /2007scape 2
71. /techsupport 2
72. /chicago 2
73. /boardgames 2
74. /personalfinance 2
75. /Denmark 2
76. /gamemaker 2
77. /Coldplay 2
78. /gaming 2
79. /CFB 2
80. /nvidia 2
81. /photoshopbattles 2
82. /AdviceAnimals 2
83. /TwoXChromosomes 2
84. /hillaryclinton 2
85. /loseit 2
86. /television 2
87. /oculus 2
88. /TheRedPill 2
89. /Naruto 2
90. /IAmA 2
91. /aww 2
92. /HillaryForPrison 2
93. /TumblrInAction 2
94. /runescape 2
95. /AskOuija 2
96. /trees 2
97. /AskWomen 2
98. /roosterteeth 2
99. /Dodgers 2
100. /europe 2
101. /DNCleaks 2
102. /Unexpected 2
103. /nosleep 2
104. /buildapc 2
105. /linux 2
106. /writing 2
107. /HunterXHunter 2
108. /WritingPrompts 2
109. /creepy 2
110. /Whatcouldgowrong 2
111. /Bitcoin 2
112. /ProtectAndServe 2
113. /thewalkingdead 2
114. /Art 2
115. /anime 2
116. /tifu 2
117. /networking 2
118. /raisedbynarcissists 2
119. /teslamotors 2
120. /tipofmyjoystick 2
121. /halifax 2
122. /nottheonion 2
Subreddits with less than 2 gilds are not shown.
If you're a mod or just a user, consider linking here to show your subscribers how you rank up against other subreddits!
submitted by no_period_bot to GildStats [link] [comments]


2016.09.20 10:23 DEATH-BY-CIRCLEJERK /r/PoliticalVideo Drilldown September 2016

/PoliticalVideo Drilldown

Of 1147 Users Found:
Subreddit Overlapping users
/The_Donald 470
/SandersForPresident 323
/conspiracy 269
/interestingasfuck 226
/trees 224
/cringe 203
/woahdude 197
/PoliticalDiscussion 190
/pcmasterrace 185
/ImGoingToHellForThis 182
/HillaryForPrison 163
/pokemongo 158
/hillaryclinton 157
/TumblrInAction 155
/BlackPeopleTwitter 148
/uncensorednews 144
/PublicFreakout 143
/4chan 143
/Libertarian 141
/OutOfTheLoop 140
/reactiongifs 140
/CringeAnarchy 139
/gameofthrones 137
/worldpolitics 132
/europe 130
/KotakuInAction 125
/cringepics 121
/facepalm 119
/Unexpected 118
/PoliticalHumor 117
/Conservative 116
/nba 115
/EnoughTrumpSpam 114
/changemyview 114
/Games 114
/Android 112
/JusticePorn 110
/canada 108
/mildlyinfuriating 103
/Political_Revolution 100
/oddlysatisfying 99
/rage 98
/StarWars 98
/TrueReddit 97
/SubredditDrama 97
/nfl 95
/MensRights 94
/h3h3productions 93
/HistoryPorn 91
/Overwatch 90
/Bad_Cop_No_Donut 89
/relationships 89
/AskTrumpSupporters 88
/iamverysmart 86
/soccer 86
/hiphopheads 86
/buildapc 86
/watchpeopledie 83
/me_irl 83
/trashy 82
/MapPorn 82
/quityourbullshit 81
/rickandmorty 81
/legaladvice 80
/Frugal 80
/promos 80
/circlejerk 80
/leagueoflegends 79
/unitedkingdom 79
/olympics 79
/techsupport 78
/CrappyDesign 76
/inthenews 75
/MURICA 75
/pussypassdenied 75
/offbeat 73
/nonononoyes 73
/AskHistorians 73
/MorbidReality 73
/undelete 72
/thatHappened 72
/NoMansSkyTheGame 72
/apple 72
/POLITIC 71
/MMA 69
/millionairemakers 69
/asoiaf 69
/Economics 68
/GlobalOffensive 68
/PS4 67
/comics 67
/Tinder 66
/Drugs 66
/youtubehaiku 66
/jillstein 64
/AskMen 64
/RoastMe 63
/pcgaming 63
/CrazyIdeas 63
/NoStupidQuestions 62
/pokemon 62
/lifehacks 62
/Steam 61
/instant_regret 59
/youtube 59
/shittyaskscience 59
/Whatcouldgowrong 59
/GaryJohnson 58
/fo4 58
/JusticeServed 58
/natureismetal 58
/sex 58
/JoeRogan 57
/socialism 57
/LateStageCapitalism 57
/progressive 56
/environment 55
/guns 53
/Christianity 53
/gonewild 53
/NetflixBestOf 52
/CombatFootage 52
/DeepIntoYouTube 52
/AskThe_Donald 52
/cars 52
/whatisthisthing 52
/TheRedPill 51
/thewalkingdead 51
/YouShouldKnow 51
/southpark 51
/casualiama 51
/holdmybeer 51
/Bitcoin 50
/ukpolitics 50
/tipofmytongue 49
/skeptic 49
/Fallout 49
/nyc 49
/HighQualityGifs 49
/malefashionadvice 48
/nononono 47
/UNBGBBIIVCHIDCTIICBG 47
/QuotesPorn 47
/australia 47
/Anarcho_Capitalism 46
/EverythingScience 46
/startrek 46
/sweden 46
/wow 46
/fatlogic 46
/cats 46
/DNCleaks 46
/AnimalsBeingJerks 46
/justneckbeardthings 46
/scifi 45
/democrats 45
/NSFW_GIF 44
/firstworldanarchists 44
/CasualConversation 44
/AskWomen 43
/sjwhate 43
/business 43
/nsfw 43
/Damnthatsinteresting 43
/PoliticalVideos 43
/hockey 42
/hearthstone 42
/collapse 42
/self 42
/Liberal 42
/WikiLeaks 42
/forwardsfromgrandma 42
/depression 41
/islam 41
/HumansBeingBros 41
/civ 41
/travel 41
/FellowKids 41
/ProtectAndServe 40
/CFB 40
/LosAngeles 40
/Minecraft 40
/shittyfoodporn 39
/Republican 39
/skyrim 39
/motorcycles 39
/RealGirls 39
/ShitRedditSays 39
/FoodPorn 38
/SargonofAkkad 38
/niceguys 38
/Seattle 38
/Foodforthought 38
/DnD 37
/cordcutters 37
/oculus 37
/BasicIncome 37
/PropagandaPosters 37
/FloridaMan 37
/xboxone 37
/Frisson 37
/meirl 37
/baseball 37
/AMA 37
/Celebs 36
/NoFap 36
/RocketLeague 36
/investing 36
/StreetFights 36
/gentlemanboners 36
/DoesAnybodyElse 36
/Justrolledintotheshop 36
/UFOs 36
/NeutralPolitics 36
/Drama 35
/Health 35
/WeAreTheMusicMakers 35
/electronic_cigarette 35
/misc 35
/Anarchism 35
/StandUpComedy 35
/standupshots 35
/Roadcam 35
/shittyreactiongifs 35
/ProgrammerHumor 34
/Cyberpunk 34
/HailCorporate 34
/trump 34
/StrangerThings 34
/teslamotors 34
/lgbt 34
/DotA2 34
/AnimalsBeingBros 34
/geek 34
/GifRecipes 34
/breakingbad 34
/learnprogramming 33
/photography 33
/anime 33
/syriancivilwar 33
/ANormalDayInRussia 33
/lostgeneration 33
/The_Farage 33
/wallpapers 33
/iphone 33
/altright 33
/childfree 33
/EatCheapAndHealthy 32
/Guitar 32
/HouseOfCards 32
/NotTimAndEric 32
/gardening 32
/OSHA 32
/ArtisanVideos 32
/fantasyfootball 32
/answers 32
/whitepeoplegifs 32
/everymanshouldknow 32
/conspiratard 31
/privacy 31
/linux 31
/TrollXChromosomes 31
/Entrepreneur 31
/memes 31
/IASIP 31
/talesfromtechsupport 31
/Filmmakers 31
/Astronomy 31
/geopolitics 31
/MadeMeSmile 31
/Eyebleach 31
/Feminism 30
/Cooking 30
/google 30
/GameDeals 30
/mealtimevideos 30
/Kossacks_for_Sanders 30
/Windows10 30
/educationalgifs 30
/bicycling 30
/batman 30
/AbandonedPorn 30
/Wellthatsucks 30
/battlestations 30
/SocialJusticeInAction 29
/wikipedia 29
/polandball 29
/TheSilphRoad 29
/CapitalismVSocialism 29
/WayOfTheBern 29
/DestinyTheGame 29
/ContagiousLaughter 29
/comicbooks 29
/Marvel 29
/vegan 29
/thebutton 29
/electronicmusic 29
/KenM 29
/math 29
/ProRevenge 29
/fullmoviesonyoutube 29
/Psychonaut 28
/webdev 28
/tf2 28
/FanTheories 28
/woodworking 28
/nostalgia 28
/SquaredCircle 28
/seduction 28
/GamerGhazi 28
/shittyrobots 27
/askphilosophy 27
/zelda 27
/shutupandtakemymoney 27
/PanamaPapers 27
/lounge 27
/bestofworldstar 27
/nintendo 27
/blackpeoplegifs 27
/economy 27
/vexillology 27
/thisismylifenow 27
/subredditcancer 26
/sadcringe 26
/quotes 26
/humor 26
/pettyrevenge 26
/Vive 26
/Battlefield 26
/TopGear 26
/reddit.com 26
/Military 26
/Meditation 26
/Piracy 26
/starcraft 26
/Shitty_Car_Mods 26
/TalesFromRetail 26
/smashbros 26
/wallstreetbets 26
/chicago 25
/offmychest 25
/minimalism 25
/tech 25
/truegaming 25
/entertainment 25
/PerfectTiming 25
/media_criticism 25
/SiliconValleyHBO 25
/dadjokes 25
/FiftyFifty 25
/magicTCG 25
/tattoos 25
/Design 25
/drunk 25
/progun 25
/WatchItForThePlot 25
/keto 25
/blunderyears 25
/FULLCOMMUNISM 25
/GrandTheftAutoV 25
/sysadmin 25
/opieandanthony 24
/ObscureMedia 24
/toronto 24
/Pizza 24
/ShitAmericansSay 24
/AccidentalRenaissance 24
/TheSimpsons 24
/LivestreamFail 24
/notinteresting 24
/thalassophobia 24
/redditrequest 24
/reallifedoodles 24
/DC_Cinematic 24
/California 24
/marvelstudios 24
/gif 24
/freebies 24
/netflix 24
/im14andthisisdeep 24
/oldpeoplefacebook 24
/amiugly 24
/confession 24
/tumblr 23
/starcitizen 23
/LucidDreaming 23
/exmuslim 23
/patientgamers 23
/howto 23
/loseit 23
/misleadingthumbnails 23
/Portland 23
/GrassrootsSelect 23
/progresspics 23
/Judaism 23
/uspolitics 23
/beer 23
/popping 23
/nevertellmetheodds 23
/trippinthroughtime 23
/dayz 23
/doctorwho 23
/Austin 23
/betterCallSaul 23
/psychology 22
/web_design 22
/BuyItForLife 22
/britishproblems 22
/madlads 22
/battlefield_one 22
/unknownvideos 22
/vaporents 22
/thedivision 22
/buildapcsales 22
/MilitaryPorn 22
/EliteDangerous 22
/ExpectationVsReality 22
/lego 22
/halo 22
/de 22
/russia 22
/androidapps 22
/BeAmazed 22
/ShitPoliticsSays 22
/trailers 22
/MechanicalKeyboards 22
/dankmemes 22
/occupywallstreet 22
/RetroFuturism 22
/beards 22
/rant 22
/Physics 22
/findareddit 22
/theydidthemath 22
/CanadaPolitics 21
/TheoryOfReddit 21
/IdiotsFightingThings 21
/MrRobot 21
/AskAnAmerican 21
/boston 21
/lewronggeneration 21
/Israel 21
/bodybuilding 21
/blackops3 21
/MandelaEffect 21
/CollegeBasketball 21
/Drumpf 21
/AnythingGoesNews 21
/sanfrancisco 21
/delusionalartists 21
/Blackout2015 21
/AskSocialScience 21
/techsupportgore 21
/FreePolDiscussion 21
/golf 21
/AndroidQuestions 21
/Ask_Politics 21
/darksouls3 21
/horror 21
/SRSsucks 20
/SuicideWatch 20
/shitpost 20
/ShittyLifeProTips 20
/headphones 20
/NeverTrump 20
/adventuretime 20
/Advice 20
/GamePhysics 20
/RoomPorn 20
/india 20
/Turkey 20
/spacex 20
/witcher 20
/EnoughLibertarianSpam 20
/Boxing 20
/whowouldwin 20
/apocalympics2016 20
/relationship_advice 20
/stocks 20
/TrueAtheism 20
/Scotland 20
/savedyouaclick 20
/teenagers 20
/PetiteGoneWild 20
/MarkMyWords 19
/BoJackHorseman 19
/ChildrenFallingOver 19
/DarkNetMarkets 19
/dogs 19
/AgainstHateSubreddits 19
/whatsthisbug 19
/writing 19
/BernTheConvention 19
/Glitch_in_the_Matrix 19
/Pareidolia 19
/wheredidthesodago 19
/comedy 19
/audioengineering 19
/LSD 19
/florida 19
/creepyPMs 19
/playrust 19
/firstworldproblems 19
/GunsAreCool 19
/MGTOW 19
/TheLastAirbender 19
/futurama 19
/samharris 19
/atheistvids 19
/jobs 19
/classic4chan 19
/mallninjashit 19
/NSFWFunny 19
/toosoon 19
/Metal 19
/KerbalSpaceProgram 19
/Twitch 19
/amibeingdetained 18
/Standup 18
/Anticonsumption 18
/EDC 18
/TinyHouses 18
/gamedev 18
/China 18
/spaceporn 18
/law 18
/unexpectedjihad 18
/formula1 18
/DebateReligion 18
/OkCupid 18
/DCcomics 18
/retrogaming 18
/punk 18
/raisedbynarcissists 18
/UkrainianConflict 18
/youdontsurf 18
/Full_news 18
/TheRecordCorrected 18
/picrequests 18
/TrueAskReddit 18
/harrypotter 18
/ADHD 18
/TheWayWeWere 18
/summonerschool 18
/raspberry_pi 17
/Coffee 17
/germany 17
/itookapicture 17
/UnexpectedThugLife 17
/screenshots 17
/StillSandersForPres 17
/Aquariums 17
/ForeverAlone 17
/philadelphia 17
/lastweektonight 17
/neutralnews 17
/PussyPass 17
/theocho 17
/Autos 17
/PeopleBeingJerks 17
/punchablefaces 17
/AskScienceFiction 17
/redditgetsdrawn 17
/aviation 17
/podcasts 17
/community 17
/fatpeoplestories 17
/japan 17
/obama 17
/TrueFilm 17
/totallynotrobots 17
/outside 17
/edmproduction 17
/Firearms 17
/StonerEngineering 17
/DunderMifflin 17
/CitiesSkylines 17
/newjersey 17
/jailbreak 17
/deadpool 17
/StarWarsBattlefront 17
/CGPGrey 17
/vinyl 16
/SuggestALaptop 16
/sciencefiction 16
/smallbusiness 16
/MMORPG 16
/battlefield_4 16
/chrome 16
/AskDocs 16
/evilbuildings 16
/college 16
/nvidia 16
/asmr 16
/audiophile 16
/AmericanPolitics 16
/AmIFreeToGo 16
/eldertrees 16
/Eve 16
/totalwar 16
/ireland 16
/coolguides 16
/Diablo 16
/nocontext 16
/exmormon 16
/HomeImprovement 16
/newzealand 16
/Rainbow6 16
/perfectloops 16
/DesignPorn 16
/cosplaygirls 16
/indieheads 16
/TopMindsOfReddit 16
/baltimore 16
/awwwtf 16
/IWantToLearn 16
/beermoney 16
/boardgames 16
/AskCulinary 16
/Enough_Sanders_Spam 16
/NewTubers 16
/GirlsMirin 16
/bayarea 16
/softwaregore 16
/engineering 16
/newreddits 16
/lectures 16
/Surface 16
/SweatyPalms 16
/socialskills 16
/curiousvideos 15
/streetwear 15
/howtonotgiveafuck 15
/Flipping 15
/MealPrepSunday 15
/Amd 15
/marketing 15
/Denver 15
/TrueOffMyChest 15
/milliondollarextreme 15
/worstof 15
/NewsOfTheStupid 15
/ofcoursethatsathing 15
/UnresolvedMysteries 15
/videos_discussion 15
/see 15
/wiiu 15
/roosterteeth 15
/nasa 15
/ainbow 15
/worldbuilding 15
/FunnyandSad 15
/trailerparkboys 15
/london 15
/Catholicism 15
/NewsOfTheWeird 15
/texas 15
/windows 15
/3DS 15
/republicans 15
/gunpolitics 15
/Justfuckmyshitup 15
/Kanye 15
/DailyShow 15
/Atlanta 15
/DebateAChristian 15
/SubredditSimMeta 15
/running 15
/houston 15
/AskScienceDiscussion 15
/mashups 15
/Calgary 15
/malehairadvice 15
/masseffect 15
/Parenting 15
/metalgearsolid 15
/Awwducational 15
/carporn 15
/unpopularopinion 14
/MensLib 14
/ifyoulikeblank 14
/ThingsCutInHalfPorn 14
/tipofmypenis 14
/vancouver 14
/OffensiveSpeech 14
/InternationalNews 14
/aliens 14
/2007scape 14
/usa 14
/Prematurecelebration 14
/mac 14
/animation 14
/skateboarding 14
/graphic_design 14
/torrents 14
/moderatepolitics 14
/likeus 14
/frugalmalefashion 14
/GoldandBlack 14
/dbz 14
/ClashOfClans 14
/badtattoos 14
/Infographics 14
/metacanada 14
/MechanicAdvice 14
submitted by DEATH-BY-CIRCLEJERK to DeathByCirclejerk [link] [comments]


2016.09.01 04:11 DEATH-BY-CIRCLEJERK /r/torontoraptors Subreddit Overlap Drilldown August 2016

I ran a script against users of /torontoraptors.
Here's how it works:
  1. First, it grabs the latest 1000 threads from a subreddit's hot queue.
  2. Second, it compiles a list of usernames from the creators of those threads along with the people commenting in them (while ignoring submissions/comments with a karma score of -4 and lower).
  3. Then, the bot crawls through their last 1000 comments/submissions in their user history to find out where else they post (also ignoring comments/submissions with a karma score of -4 or lower) while keeping tally to see which subreddits have the highest overlap.
  4. Finally, the bot calculates the similarity between subreddit samples.
Here are the results:
Of 2258 Users Found:
Subreddit Overlapping users
/nba 1911
/Torontobluejays 754
/baseball 600
/canada 592
/toronto 586
/hockey 554
/hiphopheads 516
/nfl 501
/soccer 423
/BlackPeopleTwitter 356
/leafs 350
/clevelandcavs 349
/gameofthrones 314
/pokemongo 308
/nbastreams 301
/warriors 285
/trees 251
/NBA2k 251
/leagueoflegends 229
/heat 225
/pcmasterrace 214
/MMA 208
/PS4 207
/Thunder 201
/cringepics 199
/Android 190
/The_Donald 186
/Games 180
/cringe 176
/malefashionadvice 173
/fantasyfootball 173
/GlobalOffensive 168
/reactiongifs 167
/interestingasfuck 167
/fantasybball 166
/bostonceltics 163
/Overwatch 159
/pacers 158
/woahdude 156
/lakers 156
/chicagobulls 152
/ImGoingToHellForThis 151
/SquaredCircle 146
/thewalkingdead 145
/asoiaf 142
/StarWars 142
/buildapc 140
/nhl 139
/SandersForPresident 137
/CollegeBasketball 133
/pokemon 132
/me_irl 130
/hearthstone 130
/timberwolves 126
/Tinder 123
/OutOfTheLoop 123
/NYKnicks 121
/relationships 121
/AtlantaHawks 119
/Sneakers 116
/mildlyinfuriating 115
/millionairemakers 113
/NBASpurs 113
/mlb 112
/xboxone 110
/RoastMe 110
/olympics 109
/techsupport 108
/JusticePorn 107
/AskMen 107
/4chan 106
/tipofmytongue 106
/Unexpected 101
/sixers 98
/apple 97
/CanadaPolitics 95
/tennis 95
/PersonalFinanceCanada 95
/oddlysatisfying 92
/circlejerk 91
/gentlemanboners 91
/anime 87
/RocketLeague 87
/TumblrInAction 85
/streetwear 84
/travel 84
/cars 83
/MLS 83
/conspiracy 83
/sex 82
/ontario 81
/MkeBucks 81
/rockets 81
/DotA2 80
/CFB 80
/MLBStreams 79
/PokemonGOToronto 77
/Marvel 77
/MapPorn 77
/DetroitPistons 77
/AskHistorians 76
/Frugal 76
/askTO 76
/civ 75
/Kanye 75
/Fallout 75
/breakingbad 75
/GoNets 75
/ripcity 75
/Steam 74
/OrlandoMagic 73
/nsfw 72
/facepalm 72
/iphone 71
/thatHappened 70
/HistoryPorn 70
/DestinyTheGame 70
/community 69
/TheSimpsons 69
/quityourbullshit 68
/iamverysmart 68
/CrappyDesign 67
/nbacirclejerk 67
/ottawa 67
/fantasybaseball 67
/CringeAnarchy 66
/Habs 66
/betterCallSaul 66
/kings 66
/FIFA 66
/SubredditDrama 65
/CharlotteHornets 65
/suns 64
/gonewild 64
/formula1 64
/rickandmorty 63
/starcraft 63
/Boxing 63
/fo4 63
/tfc 63
/southpark 63
/Gunners 62
/washingtonwizards 62
/FlashTV 61
/UofT 61
/GameDeals 61
/wow 61
/ufc 60
/NYYankees 60
/vancouver 60
/skyrim 60
/FoodPorn 60
/reddit.com 59
/arrow 58
/uwaterloo 58
/frugalmalefashion 58
/canucks 58
/NBA_Draft 57
/Celebs 57
/RealGirls 57
/CFL 57
/shittyaskscience 57
/denvernuggets 57
/orioles 57
/mississauga 56
/nintendo 56
/Basketball 56
/bodybuilding 56
/pcgaming 56
/CasualConversation 56
/comics 55
/summonerschool 55
/Mavericks 55
/NoMansSkyTheGame 55
/NSFW_GIF 54
/marvelstudios 54
/lifehacks 54
/OttawaSenators 54
/comicbooks 53
/redsox 53
/TrueReddit 53
/Patriots 53
/reddevils 52
/EA_NHL 52
/casualiama 51
/LAClippers 51
/trashy 51
/DunderMifflin 51
/fantasyhockey 51
/Cooking 51
/bapcsalescanada 51
/investing 50
/h3h3productions 50
/Calgary 50
/NHLStreams 50
/MLBTheShow 50
/golf 50
/CrazyIdeas 50
/teenagers 49
/self 49
/shittyfoodporn 49
/PublicFreakout 49
/EnoughTrumpSpam 48
/Minecraft 48
/GrandTheftAutoV 48
/suits 48
/NoStupidQuestions 48
/BasketballGM 47
/WahoosTipi 47
/DoesAnybodyElse 47
/NoFap 47
/AndroidQuestions 47
/BigBrother 47
/europe 47
/changemyview 47
/MrRobot 46
/smashbros 46
/AskWomen 46
/Whatcouldgowrong 46
/nonononoyes 46
/Entrepreneur 46
/youtubehaiku 46
/AnimalsBeingJerks 45
/witcher 45
/cats 45
/malehairadvice 45
/thebutton 45
/JoeRogan 45
/YouShouldKnow 44
/KCRoyals 44
/business 44
/Drugs 44
/NetflixBestOf 44
/promos 43
/IASIP 43
/halo 43
/roosterteeth 43
/oneplus 43
/chelseafc 43
/Diablo 43
/holdmybeer 42
/gainit 42
/RandomActsOfGaming 42
/offbeat 42
/3DS 42
/offmychest 42
/dbz 42
/TheSilphRoad 41
/whowouldwin 41
/PoliticalDiscussion 41
/tattoos 41
/loseit 41
/Economics 41
/FiftyFifty 40
/shittyreactiongifs 40
/TexasRangers 40
/harrypotter 40
/thedivision 40
/rage 40
/legaladvice 40
/TopGear 40
/ClashOfClans 40
/SiliconValleyHBO 39
/progresspics 39
/blackops3 39
/photography 39
/UtahJazz 39
/TrueDetective 39
/depression 39
/Guitar 39
/Canadabasketball 38
/whitepeoplegifs 38
/netflix 38
/polandball 38
/boardgames 38
/CityPorn 38
/magicTCG 38
/seduction 38
/HouseOfCards 38
/MorbidReality 38
/standupshots 38
/DCcomics 37
The rest can be found here.
submitted by DEATH-BY-CIRCLEJERK to nba [link] [comments]


2016.08.31 14:03 no_period_bot Gild Statistics for 2016-08-31

Data from last 1000 gilds in a total of 425 subreddits (bolded subreddits are abnormally gilded):
Ranking Subreddit Gild Count
1. /AskReddit 121
2. /funny 20
3. /pics 18
4. /gonewild 16
5. /videos 15
6. /wow 14
7. /gaming 13
8. /politics 13
9. /nfl 12
10. /Overwatch 12
11. /TheSilphRoad 12
12. /todayilearned 10
13. /france 10
14. /movies 10
15. /Music 9
16. /SquaredCircle 9
17. /AdviceAnimals 8
18. /relationships 7
19. /WTF 7
20. /mildlyinteresting 7
21. /aww 7
22. /JUSTNOMIL 7
23. /Showerthoughts 6
24. /picrequests 6
25. /worldnews 6
26. /pcmasterrace 6
27. /DnD 6
28. /The_Donald 5
29. /gonewildcurvy 5
30. /Futurology 5
31. /news 5
32. /DotA2 5
33. /PhotoshopRequest 5
34. /gifs 5
35. /Jokes 4
36. /WritingPrompts 4
37. /Drugs 4
38. /Eve 4
39. /AskMen 4
40. /NoMansSkyTheGame 4
41. /TwoXChromosomes 4
42. /leagueoflegends 4
43. /collapse 4
44. /smashbros 4
45. /magicTCG 4
46. /rupaulsdragrace 4
47. /promos 4
48. /atheism 4
49. /2007scape 3
50. /OneY 3
51. /personalfinance 3
52. /lastfm 3
53. /Nerf 3
54. /EliteDangerous 3
55. /soccer 3
56. /explainlikeimfive 3
57. /BigBrother 3
58. /facepalm 3
59. /technology 3
60. /talesfromtechsupport 3
61. /GoForGold 3
62. /TalesFromTheFrontDesk 3
63. /gardening 3
64. /shittyaskscience 3
65. /tifu 3
66. /teslamotors 3
67. /yoga 3
68. /DestinyTheGame 3
69. /Steam 2
70. /askgaybros 2
71. /starcitizen 2
72. /maebyfunkemarryme 2
73. /titanfall 2
74. /baseball 2
75. /gonewildaudio 2
76. /science 2
77. /MMA 2
78. /pumparum 2
79. /headphones 2
80. /streetwear 2
81. /houston 2
82. /DoesAnybodyElse 2
83. /electronic_cigarette 2
84. /dataisbeautiful 2
85. /Cardinals 2
86. /reddevils 2
87. /books 2
88. /canada 2
89. /WoT 2
90. /tf2 2
91. /Roadcam 2
92. /OldSchoolCool 2
93. /seduction 2
94. /mildlyinfuriating 2
95. /television 2
96. /sysadmin 2
97. /battlefield_one 2
98. /nba 2
99. /HighQualityGifs 2
100. /IAmA 2
101. /Obduction 2
102. /Games 2
103. /Enough_Sanders_Spam 2
104. /TumblrInAction 2
105. /KenM 2
106. /hockey 2
107. /de 2
108. /bakchodi 2
109. /legaladvice 2
110. /NASCAR 2
111. /summonerswar 2
112. /buildapc 2
113. /colorizationrequests 2
114. /3Dprinting 2
115. /KingkillerChronicle 2
116. /SWGalaxyOfHeroes 2
117. /TheNightOf 2
118. /Portland 2
119. /quityourbullshit 2
120. /audioengineering 2
121. /NSFW_GIF 2
122. /belgium 2
123. /jilling 2
124. /melbourne 2
125. /haskell 2
126. /TrollXChromosomes 2
127. /Calgary 2
128. /sports 2
129. /cats 2
130. /whiskey 2
131. /nottheonion 2
132. /Tinder 2
133. /me_irl 2
Subreddits with less than 2 gilds are not shown.
If you're a mod or just a user, consider linking here to show your subscribers how you rank up against other subreddits!
submitted by no_period_bot to GildStats [link] [comments]


2016.08.11 11:36 DEATH-BY-CIRCLEJERK /r/torontoraptors Drilldown August 2016

/torontoraptors Drilldown

Of 2258 Users Found:
Subreddit Overlapping users
/nba 1911
/Torontobluejays 754
/baseball 600
/canada 592
/toronto 586
/hockey 554
/hiphopheads 516
/nfl 501
/soccer 423
/BlackPeopleTwitter 356
/leafs 350
/clevelandcavs 349
/gameofthrones 314
/pokemongo 308
/nbastreams 301
/warriors 285
/trees 251
/NBA2k 251
/leagueoflegends 229
/heat 225
/pcmasterrace 214
/MMA 208
/PS4 207
/Thunder 201
/cringepics 199
/Android 190
/The_Donald 186
/Games 180
/cringe 176
/malefashionadvice 173
/fantasyfootball 173
/GlobalOffensive 168
/reactiongifs 167
/interestingasfuck 167
/fantasybball 166
/bostonceltics 163
/Overwatch 159
/pacers 158
/woahdude 156
/lakers 156
/chicagobulls 152
/ImGoingToHellForThis 151
/SquaredCircle 146
/thewalkingdead 145
/asoiaf 142
/StarWars 142
/buildapc 140
/nhl 139
/SandersForPresident 137
/CollegeBasketball 133
/pokemon 132
/me_irl 130
/hearthstone 130
/timberwolves 126
/Tinder 123
/OutOfTheLoop 123
/NYKnicks 121
/relationships 121
/AtlantaHawks 119
/Sneakers 116
/mildlyinfuriating 115
/millionairemakers 113
/NBASpurs 113
/mlb 112
/xboxone 110
/RoastMe 110
/olympics 109
/techsupport 108
/JusticePorn 107
/AskMen 107
/4chan 106
/tipofmytongue 106
/Unexpected 101
/sixers 98
/apple 97
/CanadaPolitics 95
/tennis 95
/PersonalFinanceCanada 95
/oddlysatisfying 92
/circlejerk 91
/gentlemanboners 91
/anime 87
/RocketLeague 87
/TumblrInAction 85
/streetwear 84
/travel 84
/cars 83
/MLS 83
/conspiracy 83
/sex 82
/ontario 81
/MkeBucks 81
/rockets 81
/DotA2 80
/CFB 80
/MLBStreams 79
/PokemonGOToronto 77
/Marvel 77
/MapPorn 77
/DetroitPistons 77
/AskHistorians 76
/Frugal 76
/askTO 76
/civ 75
/Kanye 75
/Fallout 75
/breakingbad 75
/GoNets 75
/ripcity 75
/Steam 74
/OrlandoMagic 73
/nsfw 72
/facepalm 72
/iphone 71
/thatHappened 70
/HistoryPorn 70
/DestinyTheGame 70
/community 69
/TheSimpsons 69
/quityourbullshit 68
/iamverysmart 68
/CrappyDesign 67
/nbacirclejerk 67
/ottawa 67
/fantasybaseball 67
/CringeAnarchy 66
/Habs 66
/betterCallSaul 66
/kings 66
/FIFA 66
/SubredditDrama 65
/CharlotteHornets 65
/suns 64
/gonewild 64
/formula1 64
/rickandmorty 63
/starcraft 63
/Boxing 63
/fo4 63
/tfc 63
/southpark 63
/Gunners 62
/washingtonwizards 62
/FlashTV 61
/UofT 61
/GameDeals 61
/wow 61
/ufc 60
/NYYankees 60
/vancouver 60
/skyrim 60
/FoodPorn 60
/reddit.com 59
/arrow 58
/uwaterloo 58
/frugalmalefashion 58
/canucks 58
/NBA_Draft 57
/Celebs 57
/RealGirls 57
/CFL 57
/shittyaskscience 57
/denvernuggets 57
/orioles 57
/mississauga 56
/nintendo 56
/Basketball 56
/bodybuilding 56
/pcgaming 56
/CasualConversation 56
/comics 55
/summonerschool 55
/Mavericks 55
/NoMansSkyTheGame 55
/NSFW_GIF 54
/marvelstudios 54
/lifehacks 54
/OttawaSenators 54
/comicbooks 53
/redsox 53
/TrueReddit 53
/Patriots 53
/reddevils 52
/EA_NHL 52
/casualiama 51
/LAClippers 51
/trashy 51
/DunderMifflin 51
/fantasyhockey 51
/Cooking 51
/bapcsalescanada 51
/investing 50
/h3h3productions 50
/Calgary 50
/NHLStreams 50
/MLBTheShow 50
/golf 50
/CrazyIdeas 50
/teenagers 49
/self 49
/shittyfoodporn 49
/PublicFreakout 49
/EnoughTrumpSpam 48
/Minecraft 48
/GrandTheftAutoV 48
/suits 48
/NoStupidQuestions 48
/BasketballGM 47
/WahoosTipi 47
/DoesAnybodyElse 47
/NoFap 47
/AndroidQuestions 47
/BigBrother 47
/europe 47
/changemyview 47
/MrRobot 46
/smashbros 46
/AskWomen 46
/Whatcouldgowrong 46
/nonononoyes 46
/Entrepreneur 46
/youtubehaiku 46
/AnimalsBeingJerks 45
/witcher 45
/cats 45
/malehairadvice 45
/thebutton 45
/JoeRogan 45
/YouShouldKnow 44
/KCRoyals 44
/business 44
/Drugs 44
/NetflixBestOf 44
/promos 43
/IASIP 43
/halo 43
/roosterteeth 43
/oneplus 43
/chelseafc 43
/Diablo 43
/holdmybeer 42
/gainit 42
/RandomActsOfGaming 42
/offbeat 42
/3DS 42
/offmychest 42
/dbz 42
/TheSilphRoad 41
/whowouldwin 41
/PoliticalDiscussion 41
/tattoos 41
/loseit 41
/Economics 41
/FiftyFifty 40
/shittyreactiongifs 40
/TexasRangers 40
/harrypotter 40
/thedivision 40
/rage 40
/legaladvice 40
/TopGear 40
/ClashOfClans 40
/SiliconValleyHBO 39
/progresspics 39
/blackops3 39
/photography 39
/UtahJazz 39
/TrueDetective 39
/depression 39
/Guitar 39
/Canadabasketball 38
/whitepeoplegifs 38
/netflix 38
/polandball 38
/boardgames 38
/CityPorn 38
/magicTCG 38
/seduction 38
/HouseOfCards 38
/MorbidReality 38
/standupshots 38
/DCcomics 37
/lounge 37
/2007scape 37
/ClashRoyale 37
/eagles 37
/Padres 37
/watchpeopledie 37
/pettyrevenge 37
/buffalobills 37
/firstworldanarchists 36
/Windows10 36
/instant_regret 36
/Madden 36
/heroesofthestorm 36
/futurama 36
/NOLAPelicans 36
/headphones 36
/natureismetal 35
/ContagiousLaughter 35
/csgobetting 35
/KotakuInAction 35
/justneckbeardthings 35
/HipHopImages 35
/fatlogic 35
/BallStreams 35
/TorontoMarlies 35
/Seahawks 35
/StrangerThings 35
/keto 34
/GifRecipes 34
/batman 34
/AMA 34
/wayhome 34
/Christianity 34
/cowboys 34
/EdmontonOilers 34
/Fireteams 34
/Browns 34
/Nexus5 33
/HighQualityGifs 33
/DC_Cinematic 33
/lewronggeneration 33
/Naruto 33
/TheWire 33
/firstworldproblems 33
/PS3 33
/MURICA 33
/FoodToronto 33
/memphisgrizzlies 33
/LiverpoolFC 33
/shield 33
/cordcutters 33
/SuggestALaptop 33
/hillaryclinton 33
/geek 33
/CalgaryFlames 33
/jailbreak 33
/UNBGBBIIVCHIDCTIICBG 32
/RoomPorn 32
/montreal 32
/startrek 32
/unitedkingdom 32
/soccerstreams 32
/learnprogramming 32
/sportsbook 32
/WatchItForThePlot 32
/jobs 32
/ArcherFX 32
/MakingaMurderer 32
/blunderyears 31
/electronicmusic 31
/Repsneakers 31
/islam 31
/amiugly 31
/manga 31
/startups 31
/indieheads 31
/applehelp 31
/battlestations 31
/beer 31
/Bitcoin 31
/blackpeoplegifs 30
/AnimalsBeingBros 30
/OctobersVeryOwn 30
/nbaww 30
/androidapps 30
/Brampton 30
/running 30
/Cricket 30
/dadjokes 30
/EDM 30
/survivor 30
/trailerparkboys 30
/relationship_advice 30
/CompetitiveHS 30
/entertainment 30
/wallstreetbets 29
/TODispensaries 29
/Hamilton 29
/FifaCareers 29
/NewYorkMets 29
/WWE 29
/everymanshouldknow 29
/motorcycles 29
/CatsStandingUp 29
/GreenBayPackers 29
/DenverBroncos 29
/whatisthisthing 29
/truegaming 29
/apocalympics2016 28
/seinfeld 28
/worldcup 28
/MechanicalKeyboards 28
/CLG 28
/arresteddevelopment 28
/HIMYM 28
/TheRedPill 28
/writing 28
/bicycling 28
/MadeMeSmile 28
/DeepIntoYouTube 28
/NHLHUT 28
/confession 28
/poker 28
/OnePiece 27
/pussypassdenied 27
/steelers 27
/worldpolitics 27
/vinyl 27
/dogs 27
/wallpapers 27
/SkincareAddiction 27
/StreetFights 27
/nflstreams 27
/Watches 27
/nyjets 27
/bengals 27
/PS4Deals 27
/NFL_Draft 27
/patientgamers 27
/TalesFromRetail 26
/theydidthemath 26
/PhotoshopRequest 26
/Surface 26
/AndroidGaming 26
/scifi 26
/Design 26
/oculus 26
/socialskills 26
/StandUpComedy 26
/FearTheWalkingDead 26
/tall 26
/minnesotavikings 26
/excel 26
/QuotesPorn 26
/secretsanta 26
/freebies 26
/Torontoevents 26
/bodyweightfitness 26
/Rateme 26
/CallOfDuty 26
/Eyebleach 25
/orangeisthenewblack 25
/electronic_cigarette 25
/NYGiants 25
/BasketballTips 25
/darksouls3 25
/FanTheories 25
/penguins 25
/Accounting 25
/nevertellmetheodds 25
/wiiu 25
/nvidia 25
/OaklandAthletics 25
/indianpeoplefacebook 25
/HongKong 25
/math 25
/UnexpectedThugLife 25
/Chargers 25
/beards 24
/meirl 24
/youtube 24
/Pizza 24
/MensRights 24
/CoDCompetitive 24
/TeamSolomid 24
/mac 24
/finance 24
/madmen 24
/HillaryForPrison 24
/FashionReps 24
/punchablefaces 24
/LearnUselessTalents 24
/IWantToLearn 24
/The100 24
/StarWarsBattlefront 24
/tf2 24
/makinghiphop 24
/EatCheapAndHealthy 24
/tumblr 23
/drunk 23
/Advice 23
/masseffect 23
/DetroitRedWings 23
/GlobalOffensiveTrade 23
/detroitlions 23
/TorontoDriving 23
/itookapicture 23
/miamidolphins 23
/FellowKids 23
/marketing 23
/niceguys 23
/zelda 23
/google 23
/dayz 23
/nononono 23
/AZCardinals 23
/Damnthatsinteresting 23
/Justfuckmyshitup 23
/footballmanagergames 23
/creepyPMs 23
/Dodgers 23
/gif 22
/sweden 22
/india 22
/KenM 22
/supremeclothing 22
/PandR 22
/minnesotatwins 22
/gtaonline 22
/halifax 22
/australia 22
/Nexus6P 22
/EngineeringStudents 22
/youdontsurf 22
/TrollXChromosomes 22
/AskDocs 22
/Colts 22
/diablo3 22
/metacanada 22
/stocks 22
/Astros 22
/RaptorsTickets 22
/Guildwars2 22
/TheLastAirbender 22
/CHICubs 22
/answers 21
/vaporents 21
/ifiwonthelottery 21
/assassinscreed 21
/FrankOcean 21
/Frisson 21
/OSHA 21
/PerfectTiming 21
/MaddenUltimateTeam 21
/bloodborne 21
/lotr 21
/GTAV 21
/ShouldIbuythisgame 21
/Parenting 21
/49ers 21
/BustyPetite 21
/StreetFighter 21
/ForeverAlone 21
/dfsports 21
/webdev 21
/yorku 21
/wheredidthesodago 21
/rap 21
/CitiesSkylines 21
/ravens 21
/nostalgia 21
/PrettyGirls 21
/HumansBeingBros 21
/runescape 21
/TeamRedditTeams 21
/radiohead 21
/Rainbow6 21
/funhaus 21
/Autos 20
/raptorscirclejerk 20
/AskTrumpSupporters 20
/Kappa 20
/Edmonton 20
/sadcringe 20
/sneakermarket 20
/starterpacks 20
/Philippines 20
/panthers 20
/Battlefield 20
/vita 20
/PlayStationPlus 20
/Roadcam 20
/ifyoulikeblank 20
/twitchplayspokemon 20
/Amd 20
/Mariners 20
/Fantasy 20
/Shitty_Car_Mods 20
/im14andthisisdeep 20
/whatsthisbug 20
/carporn 20
/uncensorednews 20
/WeAreTheMusicMakers 20
/ShitRedditSays 20
/blackberry 20
/solotravel 20
/CODZombies 20
/OkCupid 20
/humor 20
/friendsafari 20
/motorcitykitties 20
/HomeworkHelp 19
/CHIBears 19
/malefashion 19
/CrusaderKings 19
/androidthemes 19
/ShadowBan 19
/Chromecast 19
/buildapcforme 19
/engineering 19
/jaystickets 19
/Borderlands 19
/bestofworldstar 19
/yankees 19
/psychology 19
/BuyItForLife 19
/WouldYouRather 19
/teslamotors 19
/UnresolvedMysteries 19
/nsfw_gifs 19
/buildapcsales 19
/FantasyLCS 19
/HailCorporate 19
/GamePhysics 19
/boston 19
/picrequests 19
/gtamarketplace 19
/ArtisanVideos 19
/graphic_design 19
/cscareerquestions 19
/skateboarding 19
/gamegrumps 19
/Libertarian 19
/Conservative 19
/Hiphopcirclejerk 18
/malelivingspace 18
/Defenders 18
/donaldglover 18
/kpop 18
/MCFC 18
/uwo 18
/winnipegjets 18
/Health 18
/Piracy 18
/BoJackHorseman 18
/Pareidolia 18
/AbandonedPorn 18
/canadacordcutters 18
/tipofmypenis 18
/FrugalMaleFashionCDN 18
/minimalism 18
/trippinthroughtime 18
/Texans 18
/NSFWFunny 18
/AskCulinary 18
/Metal 18
/templeofthephil 18
/woodworking 18
/battlefield_4 18
/snowboarding 18
/londonontario 18
/MMORPG 18
/popping 18
/SFGiants 18
/rugbyunion 18
/realasians 17
/serialpodcast 17
/sysadmin 17
/LiveFromNewYork 17
/dragonage 17
/socialism 17
/basketballjerseys 17
/bjj 17
/whatcarshouldIbuy 17
/rawdenim 17
/osheaga 17
/ryerson 17
/MotoX 17
/Sonsofanarchy 17
/Twitch 17
/playstation 17
/weightroom 17
/CombatFootage 17
/Filmmakers 17
/Anxiety 17
/LegendsOfTomorrow 17
/GiftofGames 17
/whitesox 17
/spotify 17
/ChanceTheRapper 17
/ffxiv 17
/stevenuniverse 17
/TrueFilm 17
/TheNightOf 17
/waterloo 17
/fireemblem 17
/hiphop101 17
/web_design 17
/findaleague 17
/BMW 17
/oldpeoplefacebook 17
/iosgaming 17
/audiophile 17
/WWEGames 17
/stevedangle 17
/Gotham 17
/aviation 17
/DnD 17
/oaklandraiders 17
/Cardinals 17
/holdthemoan 16
/reallifedoodles 16
/brooklynninenine 16
/HomeImprovement 16
/forwardsfromgrandma 16
/notinteresting 16
/windows 16
/alberta 16
/AlienBlue 16
/FinalFantasy 16
/Jazz 16
/doctorwho 16
/Smite 16
/PokemonGoCanada 16
/AsiansGoneWild 16
/coys 16
/dating_advice 16
/Competitiveoverwatch 16
/thelastofus 16
/LosAngelesRams 16
submitted by DEATH-BY-CIRCLEJERK to DeathByCirclejerk [link] [comments]


2015.12.05 01:30 Daft_Funk87 Game Day Thread: #15 Bruins (13-8-2) @ #30 Flames (9-14-2) - Home of the HOMETOWN HYPE EDITIONS

GAME DAY: Friday 12/04/2015
Scotiabank Saddledome - Calgary, AB, CAN
#15 Bruins (13-8-2) @ #30 Flames
REGULAR LINE UP AND INFO HERE

Projected Lineups - HYPE TRAIN HAS LEFT THE STATION!

BRUINS

The Top Line - With a Tinder approval rating of 96% and a Hot or Not combined score of 8.6: Frank Vatrano, Patrice Bergeron and BRAAAAAAADDDDDD MAAAAARRRRCHANNNNNNNNNNDDDDDDD
The 2nd Line - A former Duck who will get your Goose if you're a Ranger, a Louis style Slugger and a man who loves to pick up the Cheque: Loui Eriksson, David Krejci and MAAAAAATT BELESSSSSSKKKKKYYYYYYYYYYY
The 3rd Line - A man who like jock straps a bit too much, another who cant decide whether Mustard or Ketchup goes on first and a guy who loves cuddles: Jimmy Hayes, Brian Ferlin and RYAAAAAANNNNNN SPPPPPPOOOOOOOOOOOONERRRRRRRR
The CABOOSE Line - Rihanna makes songs that adequately describe these three players, "Hard, A Rude Boy and the S.O.S": Brett Connolly, Joonas Kemmppainen and ZAC RINNNNNNAAALLLLLDOOOO

DEFENSE

The Bruins top line defense is like a pellet gun and a howitzer, David and Goliath or Cocaine and Rick James: Zach Trotman and ZZZZZZZZZDENOOOOOOOOO CHAAAAAAARAAAAAAAA
The 2nd Line - Offering more support than MAGIC MORMON UNDERWEAR and simply happy to be there: Dennis Sidenberg and COLINNNNNNN MILLLLLLLLLERRRRRR
The 3rd Line - With wet dreams and dry eyes, they keep the Rask from his insaitiable rage: Torey Krug and ADDDDDAAAAAMMMM MMMCCCQUUUUAAAAAIIIIIDDDDD

NET

Minding the goal post garden - A man who knows a Rose by any other name IS STILL NOT A FUCKING GOAL! HOW THE FUCK CAN YOU CALL THAT SHIT A GOAL!? WHERE IS MY STICK IM GOING TO FUCK SOME SHIT UP RAAAAAAAAAWWWWWWWWWRRRRR and backing him up, having 50% of the "Players named Jonas" market cornered: Jonas Gustavsson and TUUUUUKKKKAAAAA RAAAAASSSSSKKKKKKK

FLAMES

Your Top Line - With moves on the ice so nice they'll make you question your sexuality: David Jones, Sean Monahan and JOHNNNNNYYYYYYY GGGAAAUUUDDDDRRRREEEEAAAAAUUUUUUUUU
Your Second Line - Answering the Age old question of CAN FINS CZECH and having a combined age of 18 or 19: Jiri Hudler, Markus Granlund and SAAAAMMMMMMMMMM BEEEENNNNNNNEEEETTTTT
Your Third Line - A man whose babies will always have back, another who used to be a Blackhawk and with Eyebrows that make Latinas squirm: Brandon Bollig, Mikael Backlund and MICHAEEELLLLLLLLLLL FROLLLLLLLIIIIIIIIKKKKKKK
And Your Fourth Line - Rounding out the bottom like a fat kid who has succumbed to gravity: Joe Colborne, Matt Stajan and MICHEALLLLLLLL FERRRRRRRLLLLAAAANNNNDDDD

DEFENSE

The Flames top line defense is comprised of a man who is CLEARLY keeping ATB in business with STUD level performances and another who is an all around tender lover: Mark Giordano and TJ BROOOOOODDDDDIIIIIIEEEEEEE
The 2nd Line - Stronger than a wife who has stolen the covers and a man who will be the BANE OF THE BEARS: Kris Russell and DOUGIIIEEEEEEE HAMMMMILLLLTTTOONNNNNN
The 3rd line - When the chirps are down, they're no longer civilized people but COD players on ice who seem to only know how to SPRAY AND PRAY: Dennis Wideman and LLLLADDDDIIIISLLAVVVVVVV SMMMMMIIIIIDDDD

NET

The Hearth Guardian himself, who keeps the fire stoked in the house with kind words and a fabulous flow, and the other 50% Jonas Brother: Jonas Hiller and KARRRRRRIIIIIII RRRAAAAMMMOOOOO

DRINKING GAME

Flames:
Hudreauhan make a pretty play - 2 drinks
Ortio or Ramo makes a big save - 2 drinks
Bollig/Engelland get in a fight - 2 drinks
New face/rookie scores (Hamilton, Frolik, Bennett) - Finish and Fill.
Hartley subtly nods head - 2 drinks
Gio or Brodie jumps into the rush - 1 drink
Kris Russell blocks a shot - 1 drink
Kris Russell is on for a goal against - 1 drink
Wide-dawg turns the puck over - 1 drink
Flames ice the puck - 1 drink
Flames score - 2 drinks
Bennett's age mentioned - 1 drinks
Ferland throws a big hit - 1 drink
Bruins:
Love our Organist - 2 drinks
Iggy Mentioned - 2 drinks
Marchand behaves - 1 drink
Marchard doesn't behave - 2 drinks
Chara murders someone - 1 drink

Live Game Stats

FLAMES - (3) - BRUINS - (3)
submitted by Daft_Funk87 to hockey [link] [comments]


2015.12.04 22:56 Daft_Funk87 Game Thread: Bruins at Flames - 12/04/2015 - 7:00 MT - Home of the HOMETOWN HYPE EDITIONS

GAME DAY: Friday 12/04/2015
Scotiabank Saddledome - Calgary, AB, CAN
#15 Bruins (13-8-2) @ #30 Flames (9-14-2)
REGULAR FORMATTED LINES AND INFO

Projected Lineups - HYPE TRAIN HAS LEFT THE STATION!

BRUINS

The Top Line - With a Tinder approval rating of 96% and a Hot or Not combined score of 8.6: Frank Vatrano, Patrice Bergeron and BRAAAAAAADDDDDD MAAAAARRRRCHANNNNNNNNNNDDDDDDD
The 2nd Line - A former Duck who will get your Goose if you're a Ranger, a Louis style Slugger and a man who loves to pick up the Cheque: Loui Eriksson, David Krejci and MAAAAAATT BELESSSSSSKKKKKYYYYYYYYYYY
The 3rd Line - A man who like jock straps a bit too much, another who cant decide whether Mustard or Ketchup goes on first and a guy who loves cuddles: Jimmy Hayes, Brian Ferlin and RYAAAAAANNNNNN SPPPPPPOOOOOOOOOOOONERRRRRRRR
The CABOOSE Line - Rihanna makes songs that adequately describe these three players, "Hard, A Rude Boy and the S.O.S": Brett Connolly, Joonas Kemmppainen and ZAC RINNNNNNAAALLLLLDOOOO

DEFENSE

The Bruins top line defense is like a pellet gun and a howitzer, David and Goliath or Cocaine and Rick James: Zach Trotman and ZZZZZZZZZDENOOOOOOOOO CHAAAAAAARAAAAAAAA
The 2nd Line - Offering more support than MAGIC MORMON UNDERWEAR and simply happy to be there: Dennis Sidenberg and COLINNNNNNN MILLLLLLLLLERRRRRR
The 3rd Line - With wet dreams and dry eyes, they keep the Rask from his insaitiable rage: Torey Krug and ADDDDDAAAAAMMMM MMMCCCQUUUUAAAAAIIIIIDDDDD

NET

Minding the goal post garden - A man who knows a Rose by any other name IS STILL NOT A FUCKING GOAL! HOW THE FUCK CAN YOU CALL THAT SHIT A GOAL!? WHERE IS MY STICK IM GOING TO FUCK SOME SHIT UP RAAAAAAAAAWWWWWWWWWRRRRR and backing him up, having 50% of the "Players named Jonas" market cornered: Jonas Gustavsson and TUUUUUKKKKAAAAA RAAAAASSSSSKKKKKKK

FLAMES

Your Top Line - With moves on the ice so nice they'll make you question your sexuality: David Jones, Sean Monahan and JOHNNNNNYYYYYYY GGGAAAUUUDDDDRRRREEEEAAAAAUUUUUUUUU
Your Second Line - Answering the Age old question of CAN FINS CZECH and having a combined age of 18 or 19: Jiri Hudler, Markus Granlund and SAAAAMMMMMMMMMM BEEEENNNNNNNEEEETTTTT
Your Third Line - A man whose babies will always have back, another who used to be a Blackhawk and with Eyebrows that make Latinas squirm: Brandon Bollig, Mikael Backlund and MICHAEEELLLLLLLLLLL FROLLLLLLLIIIIIIIIKKKKKKK
And Your Fourth Line - Rounding out the bottom like a fat kid who has succumbed to gravity: Joe Colborne, Matt Stajan and MICHEALLLLLLLL FERRRRRRRLLLLAAAANNNNDDDD

DEFENSE

The Flames top line defense is comprised of a man who is CLEARLY keeping ATB in business with STUD level performances and another who is an all around tender lover: Mark Giordano and TJ BROOOOOODDDDDIIIIIIEEEEEEE
The 2nd Line - Stronger than a wife who has stolen the covers and a man who will be the BANE OF THE BEARS: Kris Russell and DOUGIIIEEEEEEE HAMMMMILLLLTTTOONNNNNN
The 3rd line - When the chirps are down, they're no longer civilized people but COD players on ice who seem to only know how to SPRAY AND PRAY: Dennis Wideman and LLLLADDDDIIIISLLAVVVVVVV SMMMMMIIIIIDDDD

NET

The Hearth Guardian himself, who keeps the fire stoked in the house with kind words and a fabulous flow, and the other 50% Jonas Brother: Jonas Hiller and KARRRRRRIIIIIII RRRAAAAMMMOOOOO

DRINKING GAME

Flames:
Hudreauhan make a pretty play - 2 drinks
Ortio or Ramo makes a big save - 2 drinks
Bollig/Engelland get in a fight - 2 drinks
New face/rookie scores (Hamilton, Frolik, Bennett) - Finish and Fill.
Hartley subtly nods head - 2 drinks
Gio or Brodie jumps into the rush - 1 drink
Kris Russell blocks a shot - 1 drink
Kris Russell is on for a goal against - 1 drink
Wide-dawg turns the puck over - 1 drink
Flames ice the puck - 1 drink
Flames score - 2 drinks
Bennett's age mentioned - 1 drinks
Ferland throws a big hit - 1 drink
Bruins:
Love our Organist - 2 drinks
Iggy Mentioned - 2 drinks
Marchand behaves - 1 drink
Marchard doesn't behave - 2 drinks
Chara murders someone - 1 drink

Live Game Stats

FLAMES - () - BRUINS - ()
submitted by Daft_Funk87 to hockeyGTT [link] [comments]


2015.11.10 23:09 exspose If a girl from Russia sends you a friend request, DO NOT accept.

I’m posting this here now, because I really have nothing left to grasp at. My life has become a waking nightmare and it was all due to one mistake.
I’m looking for help, or any way out. If not that, then at least some record of my final days and if I can at least save one person from my fate then it will be worth it.
I’ll try to start from the beginning…
You see, your parents and guardians always told you not to talk to strangers. And that was a pretty easy instruction to follow when I was a kid. But as an adult, if I don’t talk to strangers, how am I supposed to get laid?
Everything was going great for me; I’m 26, single, have a great-paying job, an awesome condo in downtown Calgary and I just bought my dream car, a 2015 Camaro.
Well at least everything was going great for me on paper. But for some reason I always have this nagging feeling that I’m not doing well enough. Some days I just feel well… empty inside. I’ll be straight-up, I tried to negate this emptiness with drugs, sex and alcohol. And it worked, for a short time. For a brief period during that drunken numbness, that intense orgasm or that epiphany-inducing high, everything is alright. And this cycle was working out OK for me. But when I look back, it was this hunger that left me vulnerable.
Her name was Alyona.
You see during this time, I was pursuing any avenue I could that would lead to sex: coworkers, Tinder, Craigslist, just cruising up and down 17th Ave in my car, raves, bars, Instagram and even Facebook. When it came to the book of faces, usually it was just me doing the creeping. So when this hot, Russian brunette added me out of nowhere I jumped on it immediately. It didn't matter that we had zero mutual friends.
She had this ivory pale skin, long dark hair, large dark eyes and sanguine red lips. Just my type. I accepted and instantly started talking to her.
You have accepted Alyona’s Friend Request
Me - "Hi who ARE you?"
 
A- "I'm your new girlfriend)))"
 
Me- "Great! When is our first date?"
 
A- "In a dream)))"
 
Me- "Perfect, I promise I'll dream about you tonight if you dream about me."
 
A- "))) where you from?"
 
Me-Like
 
Me- "Canada, you?"
 
A- "Russia."
 
Me- "When are you coming to visit?"
 
And that was the extent of your conversation. I will link a screenshot. I’ve blurred out our names and images because I don’t want anyone getting caught up in what’s happened to me. I’m pretty sure whatever it is could appear with any name or any profile picture. Here it is
And that was it. She never replied after my last question. It was an honest, lighthearted joke but I half-wished she would say she had plans to visit soon, so we could meet up and maybe hook up. That wasn’t really an invitation, was it? Regardless, I DID dream of her that night, if you can call it a dream.
I went to bed that night rather uneventfully: drank half a bottle of wine to myself, texted girls and browsed Reddit until I couldn’t keep my eyes open any longer. I went to the bathroom, took out my contacts, came back into my room, shut the door and collapsed into my lovely bed. It was probably around 3:00 AM.
When I awoke it was still completely dark, I must have woken up early. I tried to get out of bed to take a leak but there’s was one problem: I couldn’t move a muscle. I glanced to my right and there was one more problem. There was an enormous head of a massive fanged beast breathing down on me inches away from my face. I could feel the heat of its breath on me, the saliva oozing out of its mouth and dripping on to my face. It had eyes darker than anything I’d ever seen before. Hair covered its huge head; long, dark, matted and grotesque. Giant fangs bordered by bloody, red lips.
I tried to do a lot of things at once. First, scream as fucking loud and hard as I could, but my mouth was glued shut. Next, I tried to flail, punch, kick and jab this thing away from me. But my body would just not respond to any signal that I gave. Luckily the beast didn’t move either but that did not console me in the least. I tried to look away but no matter where I looked, its hideous image would appear in my field of vision.
This lasted for what seemed like hours. Sometimes I would fall back asleep only to awaken to the same thing and the cycle would start over again.
After what seemed like a day, I opened my eyes again and there was a difference this time. It was light out. No monster. I blinked and then to my surprise: sat up in my bed. It was all just a dream; if you could call it that.
I was covered in a greasy sweat; I reached for my phone, 12:17 PM. I felt so drained, I just stayed in bed browsing the Internet and screwing around on my phone for a while. Trying to take my mind off of that horrible dream. I opened up Tinder and looked through my matches’ “Moments”. One of them was particularly risqué and I got excited and screen-shotted it to save it. (I’m not sharing that one with you). This inadvertently brought me to my camera’s photo album which had a I don’t remember taking. There really doesn’t seem to be anything in it, it’s just my room at night. But it was taken at 3:33 AM. Here is a link to it. photo
Whatever, I probably just hit it by accident in my sleep or something. “Dammit” I thought, “I need to get out of this place.” I got up, showered, dressed and headed down the street to Safeway to get some food.
I arrived at Safeway and picked up a basket. I really had no idea what I wanted but I figured if I just walk around I would see something I like. As I walked down the aisles I browsed Facebook: the old text and walk multitask. I looked back at my conversation with Alyona and the only development was a seen-3:33AM by my last message. I sighed. What was I even hoping for with this completely random Russian girl anyway?
I looked up as I was walking down the meats aisle and I felt a wisp of warm air on my neck, like… breathing. I whirled around so fast I almost lost my basket. But there was no one near me. I was completely alone; except for a weird itching tingling feeling in the collar of my shirt. I reached into it and slowly extracted a long, greasy, dark brown hair. My hair is short and black, and I haven't had a brunette over in a while. I immediately lost my appetite.
I bolted out of that Safeway like a shoplifter. I slammed my basket down with the others, sprinted across the parking lot and jumped into the Camaro. I rushed home and into my condo, never looking back.
I pulled into the underground parking and found my spot. I always back in because I just love how my car looks facing outwards. I get to my space and look in the rear-view and there she is.
Alyona is in the back seat of my fucking car staring at me with a blank look on her face. She looks exactly like her profile picture. Luscious long hair, crimson lips, and large oval eyes that are almost black. Her expression slowly turns into a smile, revealing pearly white teeth that seem almost… sharpened.
I got out of there so fast I don’t even remember doing it. My car is probably still in the middle of the fucking parking lot. I must have blacked out a little bit. All I know is that I got into my condo and got into my room and now I’m at my computer.
Do you ever get that feeling when you’re browsing Reddit late at night and someone outside is watching you? Or right behind you and you're afraid to turn around? Well I have that right now, permanently. And I’m too afraid to sleep.
I’ve been up for 47 hours straight. Can anyone help me?
Edit: UPDATE https://www.reddit.com/nosleep/comments/3spe6a/update_if_a_girl_from_russia_sends_you_a_friend/
 
Edit: Formatting
submitted by exspose to nosleep [link] [comments]


FUNNIEST TINDER POSTS - r/tinder - YouTube r/Tinder  Looking for a Right Hand Man - YouTube Kat Wonders - YouTube People Share What They Weren't Supposed To Hear While They ... r/Tinder  forever alone - YouTube Divorce Photos Are Now A Thing?!?! Narcissism At It's Finest! Soliciting lot lizard - YouTube r/Tinder  BEST OF TINDER - YouTube r/Tinder  i'm an investment ;) - YouTube

Calgary Tinder : Calgary - reddit.com

  1. FUNNIEST TINDER POSTS - r/tinder - YouTube
  2. r/Tinder Looking for a Right Hand Man - YouTube
  3. Kat Wonders - YouTube
  4. People Share What They Weren't Supposed To Hear While They ...
  5. r/Tinder forever alone - YouTube
  6. Divorce Photos Are Now A Thing?!?! Narcissism At It's Finest!
  7. Soliciting lot lizard - YouTube
  8. r/Tinder BEST OF TINDER - YouTube
  9. r/Tinder i'm an investment ;) - YouTube
  10. The Tinder Child Rapist - Debunking The Myth - YouTube

Top posts from r/Tinder on Reddit. Top posts from r/Tinder on Reddit. Join our brand-unsafe subreddit: https://www.reddit.com/r/EmKay/ . Editor https://www.instagram.com/jackbontatibus Narra... Guess this is an lot lizard People who have pretended to fall asleep, what is something interesting you've overheard? - r/AskReddit Subscribe for more Brainy Memes and Tumblr Posts. Bac... Today I'm going to show you why a 'Tinder Experiment from a few years ago which is starting to do the rounds among the Dating forums AGAIN and was designed t... Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Funniest tinder posts and conversations - top & best reddit stories & cringe of all time r/tinder Subscribe & like the video for more interesting & funniest ... Top posts from r/Tinder on Reddit. Editor (uncredited) Narrator https://twitter.com/DamienLeeVoice Top posts from r/Tinder on Reddit. Special Thanks to Christopher from Calgary Canada for sending me this story. I want to make a coffee table book of before and after photos of all the ladies who get Divorce photo shoots done! Category