#bayesianstats

Live, measured metrics for the hashtag #bayesianstats from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0
Avg reactions / post
Mastodon · last 9
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-15 21:58 UTC
0
09-09
0
09-10
0
09-11
0
09-12
0
09-13
0
09-14
0
09-15

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-09-15 21:58 UTC

No related tags with measured usage found for #bayesianstats.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-15 21:58 UTC

Everything below is measured over the latest 9 public posts (spanning ~29231 hours).

Top of the latest posts

  • "Five skills. Each one is counter-cyclical (becomes more valuable as hype recedes), resistant to LLM automation (requires human judgment that pattern-matching can’t replicate), and directly tied to the business outcomes executives actually

    Eric Maugendre about data@[email protected]002026-03-24 19:45 UTCView post →
  • 🎩✨ Bayesian stats: the Hogwarts of math, where data scientists embark on an epic quest for clarity, only to find themselves lost in a fog of smugness and confusion. Frequentist wizards, beware! 🧙‍♂️🔮 https://nchagnet.pages.dev/blog/bayes

    N-gated Hacker News@[email protected]002026-03-21 23:24 UTCView post →
  • Bayesian deep learning helps ML models understand their uncertainty In this episode Alex Andorra talks with Maurizio Filippone about Gaussian Processes, scalable inference, MCMC, and Bayesian deep learning at scale 🎧 https://learnbayesstat

    Pierre-Simon Laplace@[email protected]002025-11-01 16:14 UTCView post →

#bayesianstats across platforms

every network with a public tag surface

Follow #bayesianstats 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/bayesianstats