prototyperspective

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They are sorted by order of appearance; it's just 4 links and the two additional ones are the short items of the tile's image.

Yes (200k–300.000), that's why it says pre-humans...we didn't arise out of nowhere, it was a continuous evolution and it seems like if those had died out we wouldn't be here. (However, that's not settled, there are substantial reasonable doubts over these results as hinted at with "While alternative explanations are possible" and elaborated in the other comments here.)

Good question, it wasn't a warming and even if it was, I don't think it can easily be translated to today's climate change. They refer to the Early-to-Middle Pleistocene Transition (not much info at that page though). If it's linked, that doesn't mean it caused it – I think people in that regard far too often think of (especially singular) causes instead of contributors within a complex interconnected set of causal factors. Maybe you're interested in this non-included paper from the same month which projects an upcoming large sudden population decline – it's just not substantiated and one can't just compare modern humans with other animal populations.

See the papers linked here

Thank you, will look into this. I had my doubts when I first heard about this but even with these sources I still think the study is significant beyond the large attention (and that itself is also a factor). I don't think there's much doubt that "The precision of the findings, though, may be a stretch" is true which doesn't invalidate the study and like a critic said "The conclusions, she says, “though intriguing, should probably be taken with some caution and explored further."

Also consider that I usually have 8 main tiles and two brief ones, the only other alternative main tiles this month were the dogxim, Y chromosome and astrocytes ones which could get summarized nicely very briefly at the bottom while this one should be included but was hard to summarize that briefly.

I don't think they were narrowing this down to one species of ancient pre-humans rather than all species thereof. The number is surely wrong, the question of the scale of magnitude is roughly accurate. Would be nice if you send it/them my way if you find them, thanks for your elaborations.

Here is the study (it both reduced workload and increased effectiveness), I don't think you understood what this was about but that's nothing to criticize with the brevity of text

That's why I put "While alternative explanations are possible" there.

I didn't add it to the WP article, and nothing here suggests this to be "conclusive"...it's just really 'significant' which even skeptics of this seem to agree with. Would be interesting if you have a source for "large number of assumptions" though: that doesn't seem to be a good description what people doubting it pointed out / criticized here: https://www.nytimes.com/2023/08/31/science/human-survival-bottleneck.html I previously had something like "Some peers doubt the study but if correct, [...]" there maybe that would be clearer?

Thanks, spending many days on going through >2k studies, the criteria-based selection and integrating most of these into Wikipedia (the image itself takes less time). Happy to see it's appreciated.

Yes, the issue is that many of the most obvious things are not getting researched or substantiated. Moreover, the two studies provide useful data on this. Costs stats

Sadly, many of the most valuable things scientists could investigate are no-shit-sherlock things. These are highly impactful and important studies. I've been tracking over a thousand of the top studies per month for over three years, since recently even with extra attention to policy-relevant studies as these are rare and often drown. I could give lots of examples of similar cases such as this recently featured first review of measures to prevent risks from bioresearch/labs or yet unstudied things with nothing to cite.
Maybe that inspires some to become scientists themselves because that is required to be able to meaningfully publish valuable research on such subjects that matter in the real world.

Because people are not so interested in reinventing the wheel a thousand times when there could be just 3 optimal open source solutions.

Also many products are plain useless or even harmful to society such as mundane noneducational distracting addictive mobile games.