#BayesFactors

Live, measured metrics for the hashtag #BayesFactors 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
16
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 16
0.4
Avg reactions / post
Mastodon · last 16
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-02 04:56 UTC
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01
0
08-02

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

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-02 04:56 UTC

No related tags with measured usage found for #bayesfactors.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 04:56 UTC

Everything below is measured over the latest 16 public posts (spanning ~19160 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (16)

Avg boosts / post: 0.2

Top of the latest posts

  • Was going through old repositories; found this nice document on estimating treatment effect of a medicine for a single patient with seizures #rstats :rstats: It goes from simple to complex: - #Visualization & summary statistics - Poisson re

    Erik-Jan@erikjan632023-08-24 14:46 UTCView post →
  • #statstab #87 {bfrms} Bayes Factors for {brms} models Thoughts: Pkg seems dead, but has insights into specifying #brms models to get similar results to #JASP and the need for more samples (24k min) for proper estimation. #bayesian #bayesfac

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]102024-05-07 15:37 UTCView post →
  • Here's a new paper summarizing methods for evaluating whether the absence of a statistically significant difference (from a NHST) is actually no difference--test of equivalence, confidence interval bounds, likelihood ratios, Bayes factors,

    RDN@[email protected]002025-10-30 22:17 UTCView post →

#bayesfactors across platforms

every network with a public tag surface

Follow #bayesfactors 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/bayesfactors