#noninferiority
Live, measured metrics for the hashtag #noninferiority from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #noninferiority
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 · mas.to (Mastodon public tags API) · fetched 2026-09-28 17:35 UTC0 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 2026-09-28 17:35 UTCNo related tags with measured usage found for #noninferiority.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 17:35 UTCEverything below is measured over the latest 4 public posts (spanning ~32964 hours).
Posting hours (UTC)
Languages: English (3) · Scottish Gaelic (1)
Avg boosts / post: 1.8
Top of the latest posts
Really nice day with #interdisciplinary and stakeholder perspectives at #UofGlasgow at the workshop "What’s a difference that matters? Establishing #PatientFocused “good enough” margins" organised by Beatriz Goulao. Brief intro to #NonInfer
The presentation by @kopf-beck.bsky.social provides makes connections between the results of the OPTIMA trial https://pmc.ncbi.nlm.nih.gov/articles/PMC10880804/ (schema therapy in psychiatric care program showed #noninferiority compared to
#statstab #194 Design and analysis of noninferiority studies Thoughts: Sometimes all you want to know is "is this new thing not worse than the previous one?". Enter noninferiority tests. #noninferiority #equivalencetests #nhst #testing http
What “noninferiority” means
WikipediaEquivalence tests are a variety of hypothesis tests used to draw statistical inferences from observed data. In these tests, the null hypothesis is defined as an effect large enough to be deemed interesting, specified by an equivalence bound. The alternative hypothesis is any effect that is less extreme than said equivalence bound. The observed data are statistically compared against the equivalence bounds. If the statistical test indicates the observed data is surprising, assuming that true effe
“Equivalence test” on Wikipedia (CC BY-SA) →#noninferiority across platforms
every network with a public tag surfaceFollow #noninferiority 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/noninferiority