As reported in Bloomberg, Google has fired a senior software engineer, James Damore, for authoring a 10-page memo (pasted below) condemning the company’s diversity efforts and claiming men are biologically more predisposed to working in the tech industry than women. According to his LinkedIn profile, Mr. Damore has a masters degree in systems biology from Harvard. (correction: the original posted stated he had a Ph.D, this has since been corrected after Damore updated his LinkedIn profile)
A full reading of the memo shows that Mr. Damore was making a fair and well-reasoned argument for why pay gap and hiring gap issues could not be solely attributable to gender bias against women, and that to understand the full picture, Google (governments and institutions included) need to also consider biological, psychological, social and cultural factors which explain the differences between the genders. Men and Women are actually different, right?
Apparently, this speech violated Google's "code of conduct". The CEO fired Mr. Damore for sexist stereotypes. However, I would ague that Mr. Damore's memo was not "sexist" but rather very logical and scientific. It simply did not sit well with the prevailing cultural elites at the company who believe there is no room for debating authoritarian policies which seek to use artificial quotas and policies to correct for alleged discrimination. However, there is no data to support the fact that the discrepancies between representation of women in science and tech industries has anything to do with other than chosen educations and vocational preferences.
Nice work Google. Before you retaliate against your employees for exercising political speech, perhaps you should give room for other points of view which are actually supported by scientific data.
The memo:
Background [1]
People generally have good intentions, but we all have biases which are invisible to us. Thankfully, open and honest discussion with those who disagree can highlight our blind spots and help us grow, which is why I wrote this document.[2] Google has several biases and honest discussion about these biases is being silenced by the dominant ideology. What follows is by no means the complete story, but it’s a perspective that desperately needs to be told at Google.
Google’s biases
At Google, we talk so much about unconscious bias as it applies to race and gender, but we rarely discuss our moral biases. Political orientation is actually a result of deep moral preferences and thus biases. Considering that the overwhelming majority of the social sciences, media, and Google lean left, we should critically examine these prejudices.
Left Biases
Compassion for the weak Disparities are due to injustices Humans are inherently cooperative Change is good (unstable) Open Idealist Right Biases
Respect for the strong/authority Disparities are natural and just Humans are inherently competitive Change is dangerous (stable) Closed Pragmatic Neither side is 100% correct and both viewpoints are necessary for a functioning society or, in this case, company. A company too far to the right may be slow to react, overly hierarchical, and untrusting of others. In contrast, a company too far to the left will constantly be changing (deprecating much loved services), over diversify its interests (ignoring or being ashamed of its core business), and overly trust its employees and competitors.
Only facts and reason can shed light on these biases, but when it comes to diversity and inclusion, Google’s left bias has created a politically correct monoculture that maintains its hold by shaming dissenters into silence. This silence removes any checks against encroaching extremist and authoritarian policies. For the rest of this document, I’ll concentrate on the extreme stance that all differences in outcome are due to differential treatment and the authoritarian element that’s required to actually discriminate to create equal representation.
Possible non-bias causes of the gender gap in tech [3]
At Google, we’re regularly told that implicit (unconscious) and explicit biases are holding women back in tech and leadership. Of course, men and women experience bias, tech, and the workplace differently and we should be cognizant of this, but it’s far from the whole story.
On average, men and women biologically differ in many ways. These differences aren’t just socially constructed because:
They’re universal across human cultures They often have clear biological causes and links to prenatal testosterone Biological males that were castrated at birth and raised as females often still identify and act like males The underlying traits are highly heritable They’re exactly what we would predict from an evolutionary psychology perspective Note, I’m not saying that all men differ from women in the following ways or that these differences are “just.” I’m simply stating that the distribution of preferences and abilities of men and women differ in part due to biological causes and that these differences may explain why we don’t see equal representation of women in tech and leadership. Many of these differences are small and there’s significant overlap between men and women, so you can’t say anything about an individual given these population level distributions.
Personality differences
Women, on average, have more:
Openness directed towards feelings and aesthetics rather than ideas. Women generally also have a stronger interest in people rather than things, relative to men (also interpreted as empathizing vs. systemizing). These two differences in part explain why women relatively prefer jobs in social or artistic areas. More men may like coding because it requires systemizing and even within SWEs, comparatively more women work on front end, which deals with both people and aesthetics. Extraversion expressed as gregariousness rather than assertiveness. Also, higher agreeableness. This leads to women generally having a harder time negotiating salary, asking for raises, speaking up, and leading. Note that these are just average differences and there’s overlap between men and women, but this is seen solely as a women’s issue. This leads to exclusory programs like Stretch and swaths of men without support. Neuroticism (higher anxiety, lower stress tolerance).This may contribute to the higher levels of anxiety women report on Googlegeist and to the lower number of women in high stress jobs. Note that contrary to what a social constructionist would argue, research suggests that “greater nation-level gender equality leads to psychological dissimilarity in men’s and women’s personality traits.” Because as “society becomes more prosperous and more egalitarian, innate dispositional differences between men and women have more space to develop and the gap that exists between men and women in their personality becomes wider.” We need to stop assuming that gender gaps imply sexism.
Men’s higher drive for status
We always ask why we don’t see women in top leadership positions, but we never ask why we see so many men in these jobs. These positions often require long, stressful hours that may not be worth it if you want a balanced and fulfilling life.
Status is the primary metric that men are judged on[4], pushing many men into these higher paying, less satisfying jobs for the status that they entail. Note, the same forces that lead men into high pay/high stress jobs in tech and leadership cause men to take undesirable and dangerous jobs like coal mining, garbage collection, and firefighting, and suffer 93% of work-related deaths.
Non-discriminatory ways to reduce the gender gap
Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:
Women on average show a higher interest in people and men in things We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this). Women on average are more cooperative Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits. Women on average look for more work-life balance while men have a higher drive for status on average Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech. The male gender role is currently inflexible Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles. Philosophically, I don’t think we should do arbitrary social engineering of tech just to make it appealing to equal portions of both men and women. For each of these changes, we need principles reasons for why it helps Google; that is, we should be optimizing for Google—with Google’s diversity being a component of that. For example currently those trying to work extra hours or take extra stress will inevitably get ahead and if we try to change that too much, it may have disastrous consequences. Also, when considering the costs and benefits, we should keep in mind that Google’s funding is finite so its allocation is more zero-sum than is generally acknowledged.
The Harm of Google’s biases
I strongly believe in gender and racial diversity, and I think we should strive for more. However, to achieve a more equal gender and race representation, Google has created several discriminatory practices:
Programs, mentoring, and classes only for people with a certain gender or race [5] A high priority queue and special treatment for “diversity” candidates Hiring practices which can effectively lower the bar for “diversity” candidates by decreasing the false negative rate Reconsidering any set of people if it’s not “diverse” enough, but not showing that same scrutiny in the reverse direction (clear confirmation bias) Setting org level OKRs for increased representation which can incentivize illegal discrimination [6] These practices are based on false assumptions generated by our biases and can actually increase race and gender tensions. We’re told by senior leadership that what we’re doing is both the morally and economically correct thing to do, but without evidence this is just veiled left ideology[7] that can irreparably harm Google.
Why we’re blind
We all have biases and use motivated reasoning to dismiss ideas that run counter to our internal values. Just as some on the Right deny science that runs counter to the “God > humans > environment” hierarchy (e.g., evolution and climate change) the Left tends to deny science concerning biological differences between people (e.g., IQ[8] and sex differences). Thankfully, climate scientists and evolutionary biologists generally aren’t on the right. Unfortunately, the overwhelming majority of humanities and social scientists learn left (about 95%), which creates enormous confirmation bias, changes what’s being studied, and maintains myths like social constructionism and the gender wage gap[9]. Google’s left leaning makes us blind to this bias and uncritical of its results, which we’re using to justify highly politicized programs.
In addition to the Left’s affinity for those it sees as weak, humans are generally biased towards protecting females. As mentioned before, this likely evolved because males are biologically disposable and because women are generally more cooperative and areeable than men. We have extensive government and Google programs, fields of study, and legal and social norms to protect women, but when a man complains about a gender issue issue [sic] affecting men, he’s labelled as a misogynist and whiner[10]. Nearly every difference between men and women is interpreted as a form of women’s oppression. As with many things in life, gender differences are often a case of “grass being greener on the other side”; unfortunately, taxpayer and Google money is spent to water only one side of the lawn.
The same compassion for those seen as weak creates political correctness[11], which constrains discourse and is complacent to the extremely sensitive PC-authoritarians that use violence and shaming to advance their cause. While Google hasn’t harbored the violent leftists protests that we’re seeing at universities, the frequent shaming in TGIF and in our culture has created the same silence, psychologically unsafe environment.
Suggestions
I hope it’s clear that I’m not saying that diversity is bad, that Google or society is 100% fair, that we shouldn’t try to correct for existing biases, or that minorities have the same experience of those in the majority. My larger point is that we have an intolerance for ideas and evidence that don’t fit a certain ideology. I’m also not saying that we should restrict people to certain gender roles; I’m advocating for quite the opposite: treat people as individuals, not as just another member of their group (tribalism).
My concrete suggestions are to:
De-moralize diversity.
As soon as we start to moralize an issue, we stop thinking about it in terms of costs and benefits, dismiss anyone that disagrees as immoral, and harshly punish those we see as villains to protect the “victims.” Stop alienating conservatives.
Viewpoint diversity is arguably the most important type of diversity and political orientation is one of the most fundamental and significant ways in which people view things differently. In highly progressive environments, conservatives are a minority that feel like they need to stay in the closet to avoid open hostility. We should empower those with different ideologies to be able to express themselves. Alienating conservatives is both non-inclusive and generally bad business because conservatives tend to be higher in conscientiousness, which is require for much of the drudgery and maintenance work characteristic of a mature company. Confront Google’s biases.
I’ve mostly concentrated on how our biases cloud our thinking about diversity and inclusion, but our moral biases are farther reaching than that. I would start by breaking down Googlegeist scores by political orientation and personality to give a fuller picture into how our biases are affecting our culture. Stop restricting programs and classes to certain genders or races.
These discriminatory practices are both unfair and divisive. Instead focus on some of the non-discriminatory practices I outlined. Have an open and honest discussion about the costs and benefits of our diversity programs.
Discriminating just to increase the representation of women in tech is as misguided and biased as mandating increases for women’s representation in the homeless, work-related and violent deaths, prisons, and school dropouts. There’s currently very little transparency into the extend of our diversity programs which keeps it immune to criticism from those outside its ideological echo chamber. These programs are highly politicized which further alienates non-progressives. I realize that some of our programs may be precautions against government accusations of discrimination, but that can easily backfire since they incentivize illegal discrimination. Focus on psychological safety, not just race/gender diversity.
We should focus on psychological safety, which has shown positive effects and should (hopefully) not lead to unfair discrimination. We need psychological safety and shared values to gain the benefits of diversity Having representative viewpoints is important for those designing and testing our products, but the benefits are less clear for those more removed from UX. De-emphasize empathy.
I’ve heard several calls for increased empathy on diversity issues. While I strongly support trying to understand how and why people think the way they do, relying on affective empathy—feeling another’s pain—causes us to focus on anecdotes, favor individuals similar to us, and harbor other irrational and dangerous biases. Being emotionally unengaged helps us better reason about the facts. Prioritize intention.
Our focus on microaggressions and other unintentional transgressions increases our sensitivity, which is not universally positive: sensitivity increases both our tendency to take offense and our self censorship, leading to authoritarian policies. Speaking up without the fear of being harshly judged is central to psychological safety, but these practices can remove that safety by judging unintentional transgressions. Microaggression training incorrectly and dangerously equates speech with violence and isn’t backed by evidence. Be open about the science of human nature.
Once we acknowledge that not all differences are socially constructed or due to discrimination, we open our eyes to a more accurate view of the human condition which is necessary if we actually want to solve problems. Reconsider making Unconscious Bias training mandatory for promo committees.
We haven’t been able to measure any effect of our Unconscious Bias training and it has the potential for overcorrecting or backlash, especially if made mandatory. Some of the suggested methods of the current training (v2.3) are likely useful, but the political bias of the presentation is clear from the factual inaccuracies and the examples shown. Spend more time on the many other types of biases besides stereotypes. Stereotypes are much more accurate and responsive to new information than the training suggests (I’m not advocating for using stereotypes, I [sic] just pointing out the factual inaccuracy of what’s said in the training). [1] This document is mostly written from the perspective of Google’s Mountain View campus, I can’t speak about other offices or countries.
[2] Of course, I may be biased and only see evidence that supports my viewpoint. In terms of political biases, I consider myself a classical liberal and strongly value individualism and reason. I’d be very happy to discuss any of the document further and provide more citations.
[3] Throughout the document, by “tech”, I mostly mean software engineering.
[4] For heterosexual romantic relationships, men are more strongly judged by status and women by beauty. Again, this has biological origins and is culturally universal.
[5] Stretch, BOLD, CSSI, Engineering Practicum (to an extent), and several other Google funded internal and external programs are for people with a certain gender or race.
[6] Instead set Googlegeist OKRs, potentially for certain demographics. We can increase representation at an org level by either making it a better environment for certain groups (which would be seen in survey scores) or discriminating based on a protected status (which is illegal and I’ve seen it done). Increased representation OKRs can incentivize the latter and create zero-sum struggles between orgs.
[7] Communism promised to be both morally and economically superior to capitalism, but every attempt became morally corrupt and an economic failure. As it became clear that the working class of the liberal democracies wasn’t going to overthrow their “capitalist oppressors,” the Marxist intellectuals transitioned from class warfare to gender and race politics. The core oppressor-oppressed dynamics remained, but now the oppressor is the “white, straight, cis-gendered patriarchy.”
[8] Ironically, IQ tests were initially championed by the Left when meritocracy meant helping the victims of the aristocracy.
[9] Yes, in a national aggregate, women have lower salaries than men for a variety of reasons. For the same work though, women get paid just as much as men. Considering women spend more money than men and that salary represents how much the employees sacrifices (e.g. more hours, stress, and danger), we really need to rethink our stereotypes around power.
[10] “The traditionalist system of gender does not deal well with the idea of men needing support. Men are expected to be strong, to not complain, and to deal with problems on their own. Men’s problems are more often seen as personal failings rather than victimhood,, due to our gendered idea of agency. This discourages men from bringing attention to their issues (whether individual or group-wide issues), for fear of being seen as whiners, complainers, or weak.”
[11] Political correctness is defined as “the avoidance of forms of expression or action that are perceived to exclude, marginalize, or insult groups of people who are socially disadvantaged or discriminated against,” which makes it clear why it’s a phenomenon of the Left and a tool of authoritarians.
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[–]sehns12 points13 points14 points (0 children) | Copy
[–]disposable_pants35 points36 points37 points (5 children) | Copy
[–]Draaly-Throwaway2 points3 points4 points (2 children) | Copy
[–]disposable_pants2 points3 points4 points (0 children) | Copy
[–]Sotokun300075 points76 points77 points (69 children) | Copy
[–]IdRatherBeTweeting84 points85 points86 points (32 children) | Copy
[–]RedPillWizard15 points16 points17 points (0 children) | Copy
[–]Sotokun300041 points42 points43 points (17 children) | Copy
[–]IdRatherBeTweeting36 points37 points38 points (15 children) | Copy
[–]Rogankenzie13955 points6 points7 points (0 children) | Copy
[–]Sotokun300017 points18 points19 points (11 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]IdRatherBeTweeting6 points7 points8 points (9 children) | Copy
[–]cazbot20 points21 points22 points (0 children) | Copy
[–]Sotokun300017 points18 points19 points (6 children) | Copy
[–]IdRatherBeTweeting10 points11 points12 points (5 children) | Copy
[–]Sotokun30006 points7 points8 points (4 children) | Copy
[–]SovereignSoul7611 points12 points13 points (0 children) | Copy
[–]IdRatherBeTweeting9 points10 points11 points (2 children) | Copy
[–]wanderer7796 points7 points8 points (0 children) | Copy
[–]BullshittingNonsense2 points3 points4 points (1 child) | Copy
[–]IdRatherBeTweeting2 points3 points4 points (0 children) | Copy
[–]tobasoft1 point2 points3 points (0 children) | Copy
[–]Senior Endorsed Contributormax_peenor1 point2 points3 points (8 children) | Copy
[–]IdRatherBeTweeting43 points44 points45 points (17 children) | Copy
[–]jm5110 points11 points12 points (0 children) | Copy
[–]Sotokun30007 points8 points9 points (10 children) | Copy
[–]IdRatherBeTweeting6 points7 points8 points (9 children) | Copy
[–]Sotokun30006 points7 points8 points (8 children) | Copy
[–]IdRatherBeTweeting7 points8 points9 points (7 children) | Copy
[–]Sotokun30004 points5 points6 points (6 children) | Copy
[–]IdRatherBeTweeting9 points10 points11 points (5 children) | Copy
[–]Sotokun30005 points6 points7 points (4 children) | Copy
[–]IdRatherBeTweeting10 points11 points12 points (3 children) | Copy
[–]Mudpielol2 points3 points4 points (3 children) | Copy
[–]IdRatherBeTweeting1 point2 points3 points (2 children) | Copy
[–]Mudpielol2 points3 points4 points (1 child) | Copy
[–]wanderer7791 point2 points3 points (0 children) | Copy
[–][deleted] 17 points18 points19 points (14 children) | Copy
[–]Sotokun300016 points17 points18 points (8 children) | Copy
[–][deleted] 7 points8 points9 points (2 children) | Copy
[–]TunedtoPerfection4 points5 points6 points (0 children) | Copy
[–]Newreddawn6 points7 points8 points (0 children) | Copy
[–]1OneRedYear2 points3 points4 points (4 children) | Copy
[–]wanderer7791 point2 points3 points (0 children) | Copy
[–]Wh1te_Cr0w1 point2 points3 points (0 children) | Copy
[–]OneInAZillion30 points31 points32 points (3 children) | Copy
[–]Fedor_Gavnyukov7 points8 points9 points (1 child) | Copy
[–]LadyXon2 points3 points4 points (0 children) | Copy
[–]Starter91142 points143 points144 points (4 children) | Copy
[–]colovick2 points3 points4 points (1 child) | Copy
[–]wickedogg3 points4 points5 points (0 children) | Copy
[–][deleted] 90 points91 points92 points (13 children) | Copy
[–]vorot93 1 points1 points1 points [recovered] | Copy
[–]domesticHorse 1 points1 points1 points [recovered] | Copy
[–]ThrowingMyslfOutther1 point2 points3 points (0 children) | Copy
[–]HasCookies3 points4 points5 points (3 children) | Copy
[–]HoundDogs4 points5 points6 points (2 children) | Copy
[–]perplexedm3 points4 points5 points (2 children) | Copy
[–]cherryCanSuckMyDick5 points6 points7 points (1 child) | Copy
[–]perplexedm10 points11 points12 points (0 children) | Copy
[–][deleted] 266 points267 points268 points (75 children) | Copy
[–]Dr_D1amond85 points86 points87 points (4 children) | Copy
[–]wristcontrol25 points26 points27 points (1 child) | Copy
[–]quotegenerator1 point2 points3 points (0 children) | Copy
[–][deleted] 14 points15 points16 points (0 children) | Copy
[–]mercuryg 1 points1 points1 points [recovered] | Copy
[–][deleted] 66 points67 points68 points (6 children) | Copy
[–]belisaurius26 points27 points28 points (2 children) | Copy
[–][deleted] 45 points46 points47 points (1 child) | Copy
[–]FakeGuru2 points3 points4 points (0 children) | Copy
[–]Senior Endorsed Contributormax_peenor11 points12 points13 points (0 children) | Copy
[–]RedPillFusion21 points22 points23 points (3 children) | Copy
[–]Schlagv 1 points1 points1 points [recovered] | Copy
[–]MaleToothFairy75 points76 points77 points (16 children) | Copy
[–]AttackOnKvothe27 points28 points29 points (8 children) | Copy
[–]MaleToothFairy36 points37 points38 points (3 children) | Copy
[–]Steelmade5812 points13 points14 points (0 children) | Copy
[–]IShavedMyNutsForThis5 points6 points7 points (3 children) | Copy
[–]commander_zoidberg3 points4 points5 points (2 children) | Copy
[–]beginner_10 points11 points12 points (1 child) | Copy
[–]cashmoney_x2 points3 points4 points (2 children) | Copy
[–]SkyGrl37724 points25 points26 points (5 children) | Copy
[–][deleted] 3 points4 points5 points (4 children) | Copy
[–]Modredpillschool1 point2 points3 points (0 children) | Copy
[–]colovick3 points4 points5 points (0 children) | Copy
[–]Punchpplay21 points22 points23 points (7 children) | Copy
[–][deleted] 12 points13 points14 points (6 children) | Copy
[–]OceanPoultry6 points7 points8 points (0 children) | Copy
[–]Punchpplay18 points19 points20 points (4 children) | Copy
[–][deleted] 2 points3 points4 points (0 children) | Copy
[–]wendoll10 points11 points12 points (0 children) | Copy
[–]twy3440 1 points1 points1 points [recovered] | Copy
[–]Modredpillschool8 points9 points10 points (0 children) | Copy
[–]TheRedThrowAwayPill1 point2 points3 points (0 children) | Copy
[–][deleted] 3 points4 points5 points (0 children) | Copy
[–]AttackOnKvothe3 points4 points5 points (0 children) | Copy
[–]1OneRedYear114 points115 points116 points (21 children) | Copy
[–]M_Justice[S] 57 points58 points59 points (13 children) | Copy
[–]read_if_gay_27 points28 points29 points (0 children) | Copy
[–]Schlagv 1 points1 points1 points [recovered] | Copy
[–]systemshock869 1 points1 points1 points [recovered] | Copy
[–][deleted] 3 points4 points5 points (5 children) | Copy
[–]systemshock869 1 points1 points1 points [recovered] | Copy
[–]JoseJimeniz27 points28 points29 points (4 children) | Copy
[–]Punchpplay1 point2 points3 points (1 child) | Copy
[–]1OneRedYear2 points3 points4 points (0 children) | Copy
[–]king_james_bible287 points288 points289 points (48 children) | Copy
[–]Framefame36 points37 points38 points (0 children) | Copy
[–][deleted] 256 points257 points258 points (13 children) | Copy
[–]ThirdLegGuy114 points115 points116 points (6 children) | Copy
[–]Modredpillschool31 points32 points33 points (0 children) | Copy
[–]ruok4a69 1 points1 points1 points [recovered] | Copy
[–]nocroc14 points15 points16 points (3 children) | Copy
[–]colovick19 points20 points21 points (1 child) | Copy
[–]nocroc4 points5 points6 points (0 children) | Copy
[–]hot_rats_2 points3 points4 points (0 children) | Copy
[–]cherryCanSuckMyDick8 points9 points10 points (3 children) | Copy
[–]Modredpillschool2 points3 points4 points (0 children) | Copy
[–]Modredpillschool1 point2 points3 points (0 children) | Copy
[–]FemtoG1 point2 points3 points (0 children) | Copy
[–]touristtownwasteland8 points9 points10 points (1 child) | Copy
[–]wickedogg1 point2 points3 points (0 children) | Copy
[–]Arnoux1 point2 points3 points (28 children) | Copy
[–]samenrofringslikeLBJ 1 points1 points1 points [recovered] | Copy
[–]AemonDK9 points10 points11 points (15 children) | Copy
[–]pilljourney14 points15 points16 points (14 children) | Copy
[–]ruok4a692 points3 points4 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (12 children) | Copy
[–]togro201 point2 points3 points (5 children) | Copy
[–]an_actual_cuck1 point2 points3 points (2 children) | Copy
[–][deleted] 1 point2 points3 points (1 child) | Copy
[–]Arnoux2 points3 points4 points (5 children) | Copy
[–]Endorsed Contributorvandaalen0 points1 point2 points (4 children) | Copy
[–][deleted] 23 points24 points25 points (4 children) | Copy
[–]En-Zu8 points9 points10 points (0 children) | Copy
[–]Luce_Bree 1 points1 points1 points [recovered] | Copy
[–]SirByron11 points12 points13 points (1 child) | Copy
[–]ThePantsThief2 points3 points4 points (0 children) | Copy
[–]En-Zu5 points6 points7 points (0 children) | Copy
[–]snoozeflu3 points4 points5 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]10xdada10 points11 points12 points (0 children) | Copy
[–]herbw8 points9 points10 points (0 children) | Copy
[–]KarmaKill2317 points18 points19 points (2 children) | Copy
[–]Draaly-Throwaway1 point2 points3 points (1 child) | Copy
[–]rp_newdawn27 points28 points29 points (4 children) | Copy
[–]systemshock869 1 points1 points1 points [recovered] | Copy
[–]darthxaim15 points16 points17 points (3 children) | Copy
[–]MP-The-Law4 points5 points6 points (1 child) | Copy
[–]phamousTRP1 point2 points3 points (0 children) | Copy
[–]commander_zoidberg1 point2 points3 points (0 children) | Copy
[–]G_Petronius 1 points1 points1 points [recovered] | Copy
[–][deleted] 6 points7 points8 points (0 children) | Copy
[–]10xdada12 points13 points14 points (0 children) | Copy
[–][deleted] 7 points8 points9 points (2 children) | Copy
[–]biggerbetterjobs1 point2 points3 points (1 child) | Copy
[–]clonegreen5 points6 points7 points (0 children) | Copy
[–]Magnum25613 points14 points15 points (1 child) | Copy
[–]Loki023013 points14 points15 points (0 children) | Copy
[–]DoesNotMatterAnymore16 points17 points18 points (1 child) | Copy
[–]Dr_D1amond34 points35 points36 points (4 children) | Copy
[–]Starter911 point2 points3 points (3 children) | Copy
[–]Dr_D1amond2 points3 points4 points (2 children) | Copy
[–][deleted] 2 points3 points4 points (1 child) | Copy
[–]MoltenSlag5 points6 points7 points (0 children) | Copy
[–]harsha_hs13 points14 points15 points (1 child) | Copy
[–]gattaca_[🍰] 9 points10 points11 points (1 child) | Copy
[–]M_Justice[S] 7 points8 points9 points (0 children) | Copy
[–]BlindWoodWander18 points19 points20 points (1 child) | Copy
[–]afkb39sdfb3 points4 points5 points (0 children) | Copy
[–]lala_xyyz3 points4 points5 points (0 children) | Copy
[–]TheOriginalWasBetter4 points5 points6 points (0 children) | Copy
[–]NaturalSelect1on9 points10 points11 points (1 child) | Copy
[–]blackedoutfast10 points11 points12 points (0 children) | Copy
[–]peebles345 1 points1 points1 points [recovered] | Copy
[–][deleted] 20 points21 points22 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]RedPillWizard6 points7 points8 points (0 children) | Copy
[–]Endersgrain 1 points1 points1 points [recovered] | Copy
[–]ConsumingImpulse7 points8 points9 points (1 child) | Copy
[–][deleted] 3 points4 points5 points (0 children) | Copy
[–]wickedogg8 points9 points10 points (0 children) | Copy
[–]Liver_Aloan6 points7 points8 points (0 children) | Copy
[–][deleted] 12 points13 points14 points (19 children) | Copy
[–]cherryCanSuckMyDick18 points19 points20 points (1 child) | Copy
[–]2mbillion3 points4 points5 points (0 children) | Copy
[–]max_potential_2 points3 points4 points (0 children) | Copy
[–]Draaly-Throwaway1 point2 points3 points (15 children) | Copy
[–]2mbillion3 points4 points5 points (14 children) | Copy
[–]Draaly-Throwaway2 points3 points4 points (13 children) | Copy
[–]2mbillion1 point2 points3 points (12 children) | Copy
[–]Draaly-Throwaway2 points3 points4 points (11 children) | Copy
[–]2mbillion1 point2 points3 points (10 children) | Copy
[–]Draaly-Throwaway1 point2 points3 points (9 children) | Copy
[–]APSTNDPhy5 points6 points7 points (0 children) | Copy
[–]1Tommy_4072 points3 points4 points (0 children) | Copy
[–]SiulaGrande2 points3 points4 points (0 children) | Copy
[–]Sciencetor22 points3 points4 points (0 children) | Copy
[–]SorbateHead7 points8 points9 points (2 children) | Copy
[–]BlairResignationJam_0 points1 point2 points (1 child) | Copy
[–]SorbateHead3 points4 points5 points (0 children) | Copy
[–]fragglerockerpoo_227 points8 points9 points (0 children) | Copy
[–]420PussyEater4 points5 points6 points (0 children) | Copy
[–]curiouslyengaged5 points6 points7 points (0 children) | Copy
[–]Messin-About 1 points1 points1 points [recovered] | Copy
[–]3trplurker10 points11 points12 points (0 children) | Copy
[–][deleted] 2 points3 points4 points (0 children) | Copy
[–]TaxFreeNFL2 points3 points4 points (3 children) | Copy
[–]Nergaal10 points11 points12 points (0 children) | Copy
[–]NeoreactionSafe8 points9 points10 points (1 child) | Copy
[–]idontevenarse17 points18 points19 points (2 children) | Copy
[–]DeadJacuzzi14 points15 points16 points (0 children) | Copy
[–]Stech_5 points6 points7 points (2 children) | Copy
[–]grewapair2 points3 points4 points (0 children) | Copy
[–][deleted] 3 points4 points5 points (1 child) | Copy
[–][deleted] 4 points5 points6 points (1 child) | Copy
[–]duruga2 points3 points4 points (0 children) | Copy
[–]bretw5 points6 points7 points (4 children) | Copy
[–]crabsongs 1 points1 points1 points [recovered] | Copy
[–][deleted] 7 points8 points9 points (5 children) | Copy
[–]jupiter66661 point2 points3 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]Entrefut1 point2 points3 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]aced1 point2 points3 points (1 child) | Copy
[–]M_Justice[S] 2 points3 points4 points (0 children) | Copy
[–]DOWNVOTE_IF_BUTTMAD1 point2 points3 points (0 children) | Copy
[–]pabbseven1 point2 points3 points (0 children) | Copy
[–]bigfatjew9_111 point2 points3 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (1 child) | Copy
[–]slapgentle1 point2 points3 points (0 children) | Copy
[–]phamousTRP1 point2 points3 points (0 children) | Copy
[–]itsawomensworld1 point2 points3 points (0 children) | Copy
[–]rhys55841 point2 points3 points (0 children) | Copy
[–]managarza1 point2 points3 points (0 children) | Copy
[–]juusukun6 points7 points8 points (1 child) | Copy
[–]TrollsTellTheTruth3 points4 points5 points (0 children) | Copy
[–]Carp8DM3 points4 points5 points (0 children) | Copy
[–]markog19991 point2 points3 points (0 children) | Copy
[–]thebluepool2 points3 points4 points (0 children) | Copy
[–]Hjalmbere1 point2 points3 points (0 children) | Copy
[–]Method0072 points3 points4 points (0 children) | Copy
[–]lookitsgordo 1 points1 points1 points [recovered] | Copy
[–]w0ffen20 points21 points22 points (1 child) | Copy
[–]TaxFreeNFL4 points5 points6 points (0 children) | Copy
[–]MEpicLevelCheater[M] 3 points4 points5 points (0 children) | Copy
[–][deleted] 5 points6 points7 points (0 children) | Copy
[–]Sullibang2 points3 points4 points (11 children) | Copy
[–]osamasbigbro13 points14 points15 points (5 children) | Copy
[–]BlairResignationJam_4 points5 points6 points (2 children) | Copy
[–]osamasbigbro6 points7 points8 points (0 children) | Copy
[–]esuil 1 points1 points1 points [recovered] | Copy
[–][deleted] 7 points8 points9 points (1 child) | Copy
[–]Sullibang2 points3 points4 points (0 children) | Copy
[–]Starter913 points4 points5 points (2 children) | Copy
[–]Sullibang27 points28 points29 points (0 children) | Copy
[–]biggerbetterjobs1 point2 points3 points (0 children) | Copy
[–]1Entropy-71 point2 points3 points (0 children) | Copy
[–]sokratesz2 points3 points4 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (1 child) | Copy
[–]wiseprogressivethink3 points4 points5 points (0 children) | Copy
[–]SkunkMonkey1 point2 points3 points (0 children) | Copy
[–]ejpusa2 points3 points4 points (1 child) | Copy
[–]2mbillion2 points3 points4 points (0 children) | Copy
[–]biggerbetterjobs2 points3 points4 points (5 children) | Copy
[–]Emma_Watsons_Panties1 point2 points3 points (3 children) | Copy
[–]BernieEffingSanders3 points4 points5 points (0 children) | Copy
[–]The-Peter-Principle3 points4 points5 points (8 children) | Copy
[–][deleted] 19 points20 points21 points (5 children) | Copy
[–]raziusro8 points9 points10 points (0 children) | Copy
[–]epistemic_humility1 point2 points3 points (1 child) | Copy
[–]DraugrMurderboss1 point2 points3 points (1 child) | Copy
[–]Smelle1 point2 points3 points (0 children) | Copy
[–]DobroHobo1 point2 points3 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]Ipoopbabiez1 point2 points3 points (0 children) | Copy
[–]Antiquus1 point2 points3 points (0 children) | Copy
[–]nninja1 point2 points3 points (0 children) | Copy
[–][deleted] 1 point2 points3 points (0 children) | Copy
[–]wyng3691 point2 points3 points (2 children) | Copy
[–]bkk1230 points1 point2 points (0 children) | Copy
[–]thenoblitt2 points3 points4 points (0 children) | Copy
[–]Cantloginhere2 points3 points4 points (1 child) | Copy
[–]bm752 points3 points4 points (2 children) | Copy
[–]celmxc24 points25 points26 points (0 children) | Copy
[–]WhereIsTheEvidence11 point2 points3 points (0 children) | Copy
[–]pedal20003 points4 points5 points (3 children) | Copy
[–][deleted] 13 points14 points15 points (1 child) | Copy
[–]pedal20003 points4 points5 points (0 children) | Copy