Karma: 85

Interested in cultured meat, biorisk and progress studies.

• 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.

• 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 to Probability, Statistics, and Random Processes on my list as a more advanced next book. For Differential Equations and Linear Algebra, I’m using Strang’s book of the same name, and the associated MIT OCW lectures.

Send me a PM if you’d like to discuss further!

• 14 Feb 2021 10:37 UTC
3 points
0 ∶ 0

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.

• 8 Feb 2021 11:22 UTC
7 points
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