titotal

karma rank #26 · 9,307 karma · 9 posts sampled · profile ↗

Top cause areas

ai safety 4.1 +1.9σ
longtermism xrisk 3.8 +0.7σ
forecasting epistemics 3.7 +1.1σ
ea meta 3.2 -1.2σ
Show all 15 cause areas
rationalist meta 3.2 +1.5σ
prioritization 0.9 -1.4σ
nuclear great power 0.7 +0.3σ
effective giving 0.3 -1.4σ
global health 0.1 -0.8σ
biosecurity 0.1 -0.6σ
moral circle values 0.1 -1.0σ
ai governance 0.0 -0.7σ
animal welfare 0.0 -0.7σ
mental health 0.0 -0.4σ
climate 0.0 -0.7σ

Distinguishing dimensions z-score vs top-30 cohort

tone_combativeness +3.0σ
style_critical_contrarian +2.4σ
cause_ai_safety +1.9σ
stance_inside_ea -3.3σ
stance_ea_org_coded -2.3σ

Style quantitative / empirical / philosophical / speculative / operational / contrarian

quantitative 4.3 +0.2σ
empirical 4.4 +0.5σ
philosophical 4.6 +0.6σ
speculative 5.7 +1.4σ
operational howto 3.2 -1.1σ
critical contrarian 6.9 +2.4σ
Show all 9 style dims
personal narrative 2.9 +0.6σ
synthesizing 6.2 +0.8σ
question asking 2.4 -0.3σ

Stance signature top 3 stance dims furthest from neutral (5)

rationalist coded 6.8 +1.5σ
longtermist framing 6.7 +0.7σ
ai doom axis 4.6 -1.7σ
Show all 9 stance dims
optimism ea institutions 4.7 -1.6σ
ea org coded 4.8 -2.3σ
inside ea 5.1 -3.3σ
animal moral status 5.0 -0.7σ
welfarist vs rights 5.0 -0.7σ
suffering focused 5.0 -0.3σ

Tone

combativeness 3.6 +3.0σ
calibration 6.8 +0.5σ
jargon 6.2 +1.5σ
humility 6.0 +0.2σ

Quality

rigor 7.0 +0.7σ
originality 7.0 +1.3σ
clarity 7.9 -0.7σ

Neighbors in dimension space

Nearest: NunoSempere

Foil: Peter Wildeford

Most characteristic post

[Draft] The humble cosmologist's P(doom) paradox

[This post has been published as part of draft amnesty week. I did quite a bit of work on this post, but abandoned it because I was never sure of my conclusions. I don't do a lot of stats work, so I could never be sure if I was missing something obvious, and I'm not certain of the conclusions to draw. If this gets a good reception, I might finish it off into a proper post.] Part 1: Bayesian distributions I’m not sure that I’m fully on board the "Bayesian train". I worry about…

Highest-karma post in sample

How my community successfully reduced sexual misconduct