4 ms·
check out the paper, not just the summary. They explain their methodology. The output has four data points because it’s a summary. The input is … more data than
by zemo 3y ago
check out the paper, not just the summary. They explain their methodology. The output has four data points because it’s a summary. The input is … more data than that.
- lolinder 3y agoMore data, but OP is right on the weaknesses of the study—the author posted here [0] and acknowledged that they can't actually say anything about causality, just that 2023 looked different than 2020. [0] https://news.ycombinator.com/item?id=39168841 https://news.ycombinator.com/item?id=39168841
- TOMDM 3y agoI'd bet 2017 looked different from 2020 too.
- dweinus 3y agoI did, that's where my quote is from. The appendix confirms; they ran the regressions on just two inputs: 2022 and 2023 totals.
- gcr 3y agoYou can even see a truncated RankWarning in the output in the appendix. Low rank indeed! Numpy is crying out in agony and the authors didn’t notice They’re using GPT….to write code that does “quadratic regression” on two whole data points…which just extends the slope of each [2022, 2023] line one year further!