Model: count ~ condition - `glm(count ~ condition, family = poisson(link='log'))` - replaced missing values with 0 (no tweets) - each panel is one type of tweet - each row is one measure of domain quality: see [[different measures of domain quality]] - haven't accounted for blocks Todos? - [ ] winsorize outcome (count) before fitting models? - [ ] look at *all* tweets, instead of just tweets with domains that have quality ratings # Condition effect - Oct 4 to Oct 24 Treatment condition tweeted less frequently? ![[coef_conditiont_combine-count_Oct04-Oct24 3.png]] # Condition effect - Oct 11 to Oct 24 ![[coef_conditiont_combine-count_Oct11-Oct24 1.png]]