#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.
Own #bayesfactors
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-12 00:00 UTC0 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 2026-10-12 00:00 UTCNo related tags with measured usage found for #bayesfactors.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-12 00:00 UTCEverything below is measured over the latest 16 public posts (spanning ~19160 hours).
Posting hours (UTC) — busiest: 16:00
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
#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
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,
#bayesfactors across platforms
every network with a public tag surfaceFollow #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