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Notes -
It's still biased, just not by the 'algorithm'. We're a trans-skeptical community. And we, as OP and other comments demonstrate, are interested in examples of 'the world at large' being trans-skeptical. You're more likely to see a post here about a big outpour of trans-skepticism than of trans-acceptance. So we got a post about MrBeastChris, but not the daughter of a saudi oligarch who got kidnapped from the US because they were trans, and so on. So that's the simplest level of selection - if BeastChris came out as trans and everyone clapped and nothing else happened, it wouldn't have been a toplevel post.
That's part of it, but it's not enough - MrBeast is the biggest american youtuber. That's a very natural and very small 'class', and selection effects are less strong when the class you're selecting from is smaller. But - clearly, this issue resonated with us. Maybe trans-chris resonates a lot more with anti-trans people than pro-trans people, for whatever reason, so they're more likely to comment about it, make videos about it, etc. If 1% of viewers comment, that's not always the same 1% - so if something specific makes a usually-silent 1% more likely to comment, they suddenly seem to represent the whole viewership, even when they don't. So there's clearly some pushback, but the scale is difficult to estimate, because whether 80% of beast fans or 10% of beast fans had a bone to pick, they'd still take over the comments. And any time the same things drive you and others of the same viewpoint to look at something, the people interested in that will be disproportionately 'like you'.
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