I categorized every post into one of the categories in bold.
I think that there is more than one way to categorize posts. For instance, inside personal and organizational productivity, rationality cluster there are posts that have a very LW vibe and posts that have a very EAF vibe e.g.
I could only get a few posts that show this, but I think that there is a pattern, where LW is more interested in society and personal scale thinking and much less interested in organizational aspect of things.
| ai-safety-hypothetical | 71 |
| ai-safety-factual | 32 |
| ai-safety-practical | 31 |
| not-ai-safety-maximization | 24 |
| not-ai-safety-productivity-rationality | 20 |
| not-ai-safety-other-cause-areas | 11 |
I used LW and EAF api. I believe this only covers posts that were cross-posted using cross post functionality and not posts that were independently posted on both forums.
I fit a one linear regression model with only interaction terms between category and EA karma (no intercept):
LW_karma = coef1 × (cat1 × EA_karma) + coef2 ×(cat2 × EA_karma) + ...
The model explains 59.4% of variance in LW karma (adjusted R^2=0.594, F(6,183)=47.069, p<0.001). Tho it’s important to note that this is a no intercept model and it doesn't make that much sense to look at the R^2 and t-statics and F-statistic.
| Variable | Estimate | Interpretation |
| ai-safety-factual × EA karma | 0.80 | 100 EA karma -> ~81 LW karma |
| ai-safety-hypothetical × EA karma | 1.50 | 100 EA karma -> ~151 LW karma |
| ai-safety-practical × EA karma | 0.97 | 100 EA karma -> ~97 LW karma |
| maximization × EA karma | 0.42 | 100 EA karma -> ~43 LW karma |
| other-cause-areas × EA karma | 0.34 | 100 EA karma -> ~35 LW karma |
| productivity-rationality × EA karma | 1.61 | 100 EA karma -> ~161 LW karma |
I do not report p-values for coefficients since my model is weird (no intercepts) and they are less straightforward to interpret than usually.