#BayesTheorem

Live, measured metrics for the hashtag #BayesTheorem 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
24
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 24
2.1
Avg reactions / post
Mastodon · last 24
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-14 09:37 UTC
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14

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

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-11-14 09:37 UTC

No related tags with measured usage found for #bayestheorem.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-14 09:37 UTC

Everything below is measured over the latest 24 public posts (spanning ~114603 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (22) · German (1)

Avg boosts / post: 0.8

Top of the latest posts

  • The latest in our alignment series is about the strangest equilibrium in history... it's literally MAD. https://nonzerosum.games/bayesiangameswithnukes.html #XRisk #BayesTheorem #NuclearWar #WWIII #Apocalypse

    James@nonzerosumjames♥ 40↻ 42026-08-22 22:04 UTCView post →

  • RT @Deep__AI@twitter.com Everything you need to know about Bayes Theorem https://deepai.org/machine-learning-glossary-and-terms/bayes-theorem #Probability #BayesTheorem 🐦🔗: https://twitter.com/Deep__AI/status/1192744404538101760

    Ganesh Mantravadi 🐘@ganeshmantra♥ 3↻ 02019-11-08 10:44 UTCView post →

  • “Sometimes I change my opinion, and when I do I feel like it’s the result of math.” 😂 #StrictBayesian #BayesTheorem https://www.smbc-comics.com/comic/bayesian

    Dr Keith Wilson 💭@keithwilson♥ 2↻ 12024-10-28 19:43 UTCView post →

#bayestheorem across platforms

every network with a public tag surface

Follow #bayestheorem 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/bayestheorem