#pvalue
Live, measured metrics for the hashtag #pvalue from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pvalue
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-15 09:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-15 09:31 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-15 09:31 UTCEverything below is measured over the latest 40 public posts (spanning ~31792 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (33) · Russian (6) · Spanish (1)
Avg boosts / post: 0.6
Top of the latest posts
New blogpost 🚨 : What do you do if you found a significant result, but your study was underpowered? How reliable is your finding? I discuss Type M and Type S error https://mzstats.blogspot.com/2023/02/what-not-to-do-with-non-null-results.h
#statstab #589 The Permutation Test: A Visual Explanation of Statistical Testing Thoughts: If you stay in a frequentist framework, this should be your default. #permutation #randomization #nhst #ttest #pvalue #tutorial #guide https://www.jw
"It's extremely important to realise that a p-value is the probability of observing data like thas observed or more extreme, assuming the hypothesis is correct. It is not the probability of the hypothesis being true, given the data." - Lyon
What “pvalue” means
WikipediaIn null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is correct. A very small p-value means that such an extreme observed outcome would be very unlikely under the null hypothesis. Even though reporting p-values of statistical tests is common practice in academic publications of many quantitative fields, misinterpretation and misuse of p-values is widespr
“P-value” on Wikipedia (CC BY-SA) →#pvalue across platforms
every network with a public tag surfaceFollow #pvalue 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/pvalue