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Could some of these be attributed to selection bias that ends up just confirming the conclusions/lessons learned? Prime examples - the ones re: age, schools, former employers, and repeat founders. Would it be fair to assume that they have a greater bias to fund companies with founders exhibiting these attributes to begin with?

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Wouldn't a greater bias to fund them lead to worse outcomes for those categories?

not necessarily, if you're picking better-than-average apples, why would the outcome be worse than for other categories? also consequently, your conclusion would of course be, these apples > other apples. I'm not saying the data is bad or calling them out. I'm just saying some of their lessons learned might just be a consequence of their selection bias.

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