this post was submitted on 19 Jan 2026
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[โ€“] Peanutbjelly@sopuli.xyz 5 points 1 day ago* (last edited 15 hours ago) (1 children)

Almost like you need to take different empirical observations from varied tools and perspectives to get more reliable predictions about the wider body. Enough robustness gives you confident weightings that can be used to grow more empirical evidence to build new cognitive tools. No map is the territory, so robustness and weighting need to be an active process in changing/growing areas of understanding. no new tools are possible without philosophy actively constructing along science using wider Bayesian basins than some single scientific data point. those varied but well-weighted Bayesian networks are not "just philosophy" like joe rogan giving a very shallow, non-robust, greentext level take on something that sounded mildly plausible.

[โ€“] loonsun@sh.itjust.works 3 points 17 hours ago

I whole heartedly agree, as a social scientist it's impossible to deny the continued evolution of ideas is as important as the evolution of methods. Its also why techniques of synthesis such as systematic reviews and meta analysis are crucial for the health of science. It's also why I am always bothered how we tend to in popular discussions of the social sciences continue to refer back to very old rudimentary musing by founders like Freud or Yung as guides to understand a science that had evolved past time for over 100 years. I respect their work but I feel many people never look past early authors of the 19 and 20th century and try to understand modern theories.