I think "Overton window" is a pretty load-bearing concept for many LW users and AI people — it's their main model of policy change. Unfortunately there's lots of other models of policy change. I don't think "Overton window" is particularly helpful or likely-to-cause-you-to-notice-relevant-stuff-and-make-accurate-predictions. (And separately people around here sometimes incorrectly use "expand the Overton window" to just mean with "advance AI safety ideas in government.") I don't have time to write this up; maybe someone else should (or maybe there already exists a good intro to the study of why some policies happen and persist while others don't^[1]).

Some terms: policy windows (and "multiple streams"), punctuated equilibrium, policy entrepreneurs, path dependence and feedback (yes this is a real concept in political science, e.g. policies that cause interest groups to depend on them are less likely to be reversed), gradual institutional change, framing/narrative/agenda-setting.

Related point: https://forum.effectivealtruism.org/posts/SrNDFF28xKakMukvz/tlevin-s-quick-takes?commentId=aGSpWHBKWAaFzubba.

1. ^{^}

   I liked the book Policy Paradox in college. (Example claim: perceived policy problems are strategically constructed through political processes; how issues are framed—e.g. individual vs collective responsibility—determines which solutions seem appropriate.) I asked Claude for suggestions on a shorter intro and I didn't find the suggestions helpful.

   I guess I think if you work on government stuff and you [don't have poli sci background / aren't familiar with concepts like "multiple streams"] you should read Policy Paradox (although the book isn't about that particular concept).