5 ms·
Stats based on 37 blog posts.
by hsjqllzlfkf 3y ago
Stats based on 37 blog posts.
- seeknotfind 3y agoAlso hard to control for conflicting variables such as spending more time to post leading to better posts.
- snewman 3y agoActually, I believe the claim in the article is precisely that spending more time leads to better posts and that this leads to more subscribers. Basically, the author feels that he achieves more (in readership growth, but also on other dimensions he cares about) by taking the time to write one really good post instead of using that same time to write two mediocre posts; he contrasts this with the standard advice that publishing frequently is critical to building an audience.
- nerdponx 3y agoIn some scientific fields, 37 data points is an absolute treasure trove for a causal model.
- hsjqllzlfkf 3y agoNumber of data points aside, I would like to see one causal model worked out in depth. Do you have a sample link?
- nerdponx 3y agoHow about a book and lecture series full of them? https://xcelab.net/rm/statistical-rethinking/ https://xcelab.net/rm/statistical-rethinking/
- hsjqllzlfkf 3y agoThank you! I've read one of Judea pearl's latest books (called I think "the question of why") and while I found it extraordinarily convincing to make the case that the "data first" approach to inference is fundamentally flawed, I also couldn't extract anything quantitative from his graphs. Maybe my fault, it's on my to-reread list. Thanks for the link.
- nerdponx 3y agoPearl is the author of a more technical book called Causality, which is where all the quantitative stuff is. But McElreath's material on causality is a distillation of some of Pearl's (and others') work, so start there.
- hsjqllzlfkf 3y agoI'm halfway thru the second lecture, and what an absolute find :-)