I've also been self-teaching myself similar topics. Reading books and working through the exercises works much better for me personally than watching videos. For Python, I recommend Think Python 2e, which is freely available here, and Charles Severance's Python for Everybody on FreeCodeCamp. For Machine Learning, the gold standard is An Introduction to Statistical Learning. The exercises are in R, but I think you can find Python versions somewhere on the internet.
For Statistics and Probability I used OpenIntro, but I've also got Pishro-Nik's Introduction t...
Are you saying ethnic minorities in the West are less likely to be WEIRD and hence underrepresented in EA, or that ethnic minorities who are WEIRD are underrepresented in EA? The former wouldn't surprise me at all, given the significant disparities in income and educational opportunity between ethnic minorities in the West. The latter would surprise me, but I'm not sure how you would go about proving it, since it would require you to already have an estimate of demographics of true WEIRDs, and I'm not sure how you'd go about collecting that. Unless the assumption that any educated person from a Western Developed country is WEIRD, which I would disagree with.
Hi Lukas, thanks for your kind words! I agree with you on most points - my analysis was mostly regarding ethnic identities rather than those relating to gender, sexuality or political orientation, since the former is what I have experience with. I do of course think that EA would benefit from more equal representation of these groups, and my intuition is that it's more tractable as well (relative to religious or ethnic minorities). I'm not entirely sure why women are underrepresented in EA or even if that is indeed the case. If it is, I'd imagine it's rela...
TL;DR Underrepresented groups are underrepresented because they self-select into EA circles at lower rates due to divergent values. Concerted initiatives to increase diversity are strongly biased towards the values of the people running the initiative. Communities are exclusionary by necessity.
I hope as one of the rare developing world EAs, my perspective is useful here. This post is a nice thought, but like many nice thoughts relating to diversity I believe it collapses on deeper consideration of how it would be implemented. There is a reason EA mainly co...
I'm really glad to see this post, but I do believe that the direct nutritional benefit from Golden Rice is only the tip of the iceberg. The stigmatization of GMOs is perhaps the largest factor limiting innovation in food tech, agritech, and biotech. Fixing this would have massive implications for farmed animal welfare, climate change, food security, biodiversity, and longevity.