Just to update this chart: 1) AI salience has increased dramatically in the past week - increasing as much in the last week as the previous year combined 2) 80% of voters think it's either very or somewhat likely that AI will cause widespread job loss in the five to ten years 3) 64% of voters think it's either very or somewhat likely that AI could pose a threat to humanity's survival 4) Large bipartisan majorities back immediate government action on AI even when primed about risk from China

We cross-referenced the psychometric personality data of ~ 1 million people with their zodiac astrological signs: 1) There is a small but statistically significant effect of zodiac sign on personality controlling for demographic and attitudinal variables 2) These observed personality correlations correspond strongly with LLM-generated "stereotypes" of astrological associations with personality 3) This association of observed astrological effects with astrological "stereotypes" is mediated strongly in auxiliary surveys by how frequently people read horoscopes and generally subscribe to astrology 4) Zodiac effects among people who never read horoscopes are a quite precisely estimated zero, while effects among people who read horoscopes everyday are on the order of 0.2 sds - on par with or larger than most psychometric associations found in social science

Another small sample, but Fishback won 89% of the vote in the Florida State University precinct. We'll aggregate results across these campus precincts tomorrow for a broader look at his performance with younger voters.

@katrosenfield From my perspective conservatives being complicit in their president using the government to ruin lives because their party leader is a vindictive psychopath is much worse than anything that happened under woke 1

@katrosenfield From my perspective conservatives being complicit in their president using the government to ruin lives because their party leader is a vindictive psychopath is much worse than anything that happened under woke 1

Both London and Chicago: Urbanized area population of ~9 million people, which makes sense because the Midwest and the UK both have ~ 70 million people Objectively peaked in global importance a century ago and are obviously in decline Greasy unhealthy food Old money aristocracy that is hard for outsiders to break into that fund all the high culture and arts Big social emphasis on pub culture and heavy drinking and after hours underground electronic music More of a loose archipelago of *many* insular neighborhoods than a unified citywide vibe Culture heavily shaped by extensive post war immigration from eastern and southern Europe Economy that became increasingly reliant in the 90’s on financial sectors that entered structural decline in the 2010’s Two world class research universities ~1-2 hours away from the city center that are about two hours away from each other Lots of other parallels too!

Both London and Chicago: Urbanized area population of ~9 million people, which makes sense because the Midwest and the UK both have ~ 70 million people Objectively peaked in global importance a century ago and are obviously in decline Greasy unhealthy food Old money aristocracy that is hard for outsiders to break into that fund all the high culture and arts Big social emphasis on pub culture and heavy drinking and after hours underground electronic music More of a loose archipelago of *many* insular neighborhoods than a unified citywide vibe Culture heavily shaped by extensive post war immigration from eastern and southern Europe Economy that became increasingly reliant in the 90’s on financial sectors that entered structural decline in the 2010’s Two world class research universities ~1-2 hours away from the city center that are about two hours away from each other Lots of other parallels too!

@real_jerseylee @mattyglesias “The labs are running around telling people their product is dangerous and should be taxed and regulated as a ploy to pump up their valuations” is a such a perfect demonstration of the thesis of this paper

One of the strongest predictors of candidate support was industry. Stevens excelled in blue-collar areas tied to manufacturing, transportation, and utilities, while El-Sayed dominated younger, highly educated areas centered on education, health care, arts, and food service.