#anova
Live, measured metrics for the hashtag #anova from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #anova
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 2026-10-21 01:09 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 2026-10-21 01:09 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-21 01:09 UTCEverything below is measured over the latest 40 public posts (spanning ~20932 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (38) · Ukrainian (1) · Dutch (1)
Avg boosts / post: 0.7
Top of the latest posts
"Getting over ANOVA: estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab). https://www.nature.com/articles/s41592-026-03187-7 (Preprint v2: https://www.biorxiv.org/content/10.64898/2026.01.26.701654v2 ) "D
"Getting over ANOVA: Estimation graphics for multi-group comparisons", Lu et al. 2026 (Claridge-Chang's lab) https://www.biorxiv.org/content/10.64898/2026.01.26.701654v1 "Data analysis in experimental science mainly relies on null-hypothesi
In another network, senior author Adam Claridge-Chang publicly added this insightful and pungent commentary: "Here's a dirty secret about ANOVA: it tests a null hypothesis that nobody cares about. When you run a one-way ANOVA, you're testin
What “anova” means
WikipediaAnalysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA compares the amount of variation between the group means to the amount of variations within each group. If the between-group variation is substantially larger than the within-group variation, it suggests that the group means are likely different. This comparison is done using an F-test. The underlying principle of ANOVA is based on the law of
“Analysis of variance” on Wikipedia (CC BY-SA) →#anova across platforms
every network with a public tag surfaceFollow #anova 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/anova