#bayesianism
Live, measured metrics for the hashtag #bayesianism from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bayesianism
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-17 17:26 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-17 17:26 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-17 17:26 UTCEverything below is measured over the latest 13 public posts (spanning ~25214 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (9) · Finnish (3) · German (1)
Avg boosts / post: 2.7
Top of the latest posts
Beyond the applied ML context, I see a lot of connections to the limitations of #utilitarianism, utilitarian aggregation / #populationEthics, #rationality, #longtermism, subjective #Bayesianism, etc. But would anyone read any of that?
#introduction I'm a #mathematician by training and a #datascientist by trade. Living in #munich, #germany. I am a husband to my beautiful wife and father of two amazing children. I studied math (and some physics) at #LMUMünchen. I used to w
Do you know Judea Pearl? He bootstrapped the probabilistic approach to AI in his 1988 book 📘 "Probabilistic Reasoning in Intelligent Systems" He also invented Bayesian Networks and contributed greatly to causality. Most famous for Pearl's
What “bayesianism” means
WikipediaBayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.
“Bayesian probability” on Wikipedia (CC BY-SA) →#bayesianism across platforms
every network with a public tag surfaceFollow #bayesianism straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/bayesianism