tl;dr: The science subreddit is not a reliable source of information or place of discussion. It's not community that values science
PLEASE REMEMBER: Do not go to r science, do not comment in the thread mentioned, do not even vote on it. I'm sure admins are just waiting for an excuse to kick us out. Let's not give it to them.
Body: Just take a look at this link: http://archive.is/10kdC
Here's the title of the article posted to the subreddit:
In a series of studies, participants were more likely to imagine welfare recipients as being black, stereotyped them more negatively, and were less supportive of giving welfare to those same imagined recipients
A lot of commentators in a neutral way pointed out that this association (welfare recipient = black race) is in fact true. Apparently moderators of r science doesn't value those pesky little things called facts. Here are examples of comments removed by moderators:
Hmm. Well stereotypes are MOST times based on some sort of truth. The department of commerce has the percentage of African-American welfare recipients at roughly 40%. Source: http://www.statisticbrain.com/welfare-statistics/ African-Americans make up about 13% of the population of the US. Source: https://www.census.gov/quickfacts/ I'm sure this comment will be deleted anyway, because the DATA doesn't agree with the agenda.
So the comment only stated facts directly related to the article in question. It provided sources, the most credible and objective sources one can find. Still, this was more than the moderators could handle.
A deliberately provocative title which describes a perfectly logical phenomenon of stereotyping entire groups with a disproportionate occurrence of a specific trait. Racebaiting in science for the win. :/
This comment is gone as well. And so is this:
Why did the mods delete an objective breakdown of the proportion of races receiving TNAF?
There are almost 2 thousand comments on the thread now and it looks like the moderators could not stop the invasion of facts, so now there is a bit of science in r science.
Lessons learned:
Credits: This is inspired by a post in KotakuInAction.
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