Alex P. Miller @alexmiller.phd · 31/03/2025Because I am a human with my own intelligence and agency, I asked a simple follow up question (1st image). The response completely undermines the whole premise of the question. Some research suggests you might need hundreds of plants per square meter to make any difference in air quality! 100
Alex P. Miller @alexmiller.phd · 31/03/2025Let's try Google's new "AI Mode"... Right on the splash page, they suggest an interesting query: "houseplants that improve air quality and don't need much light". (1st image) I went ahead and clicked it and was given a long reply with extensive citations (2nd image). Very cool! .... right? 100
Alex P. Miller @alexmiller.phd · 09/03/2025Yeah… Union politics make this kind of inevitable too. 070
Alex P. Miller @alexmiller.phd · 04/12/2024This disclaimer, or a similar one, is present on all major LLM chat interfaces. 020
Alex P. Miller @alexmiller.phd · 29/11/2024+1 for Kenji’s spatchcock turkey with lemon herb mayo. Easily the best and highest return to effort ratio on a turkey I’ve ever had 000
Alex P. Miller @alexmiller.phd · 27/11/2024Altered States (1980): A professor obsessed with his research into the meaning of life pushes the envelope and nearly becomes permanently transfigured by his auto-experimentation. He realizes there is no answer he will find satisfying, finding meaning in his relationships with his wife and family. 000
Alex P. Miller @alexmiller.phd · 24/10/2024In addition to the existing literature that discusses the prevalence of p-hacking in this context, we provide at least three behavioral reasons why it might be expected. 000
Alex P. Miller @alexmiller.phd · 24/10/2024That’s consistent with what we are considering as a main factor in understanding how companies avoid p-hacking. Sounds like you have developed your own rule of thumb that is much less arbitrary than “p<0.05”, as continues to be the case in much of science. 100
Alex P. Miller @alexmiller.phd · 21/10/2024Though this project is mainly concerned with p-hacking in e-commerce A/B testing, a close reading raises questions about academia as well. Our results suggest p-hacking is not some inevitable characteristic of frequentist statistics, placing academic practices in stark contrast. 172
Alex P. Miller @alexmiller.phd · 21/10/2024We analyze the distribution of p-values from over 2,200 A/B tests run by hundreds of e-commerce companies and find *little (null) evidence* of p-hacking. We further use various counterfactual arguments to demonstrate why this should be considered a relatively "tight" null. 110
Alex P. Miller @alexmiller.phd · 21/10/2024"p-hacking" is a widespread topic of intrigue and notoriety in science. We study the prevalence of p-hacking on a large online A/B testing platform. Complementing related work, this study helps us understand how statistical criteria are used across different contexts. 110
Alex P. Miller @alexmiller.phd · 21/10/2024 💡I am happy to announce new research with Kartik Hosanagar. Available below and forthcoming in 𝘐𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩.💡 Link (PDF): alexmiller.phd/research/p-h... We study p-hacking, A/B testing, data-driven decision making, and more. Short thread below👇 271
Alex P. Miller @alexmiller.phd · 12/07/2023Putting a train down the middle of a freeway is one of those ideas that makes total sense at first but is actually really terrible and pernicious. Its flaws are that it: - prioritizes auto traffic - is fundamentally hostile to human-sized transit modes - discourages complementary land use patterns 161
