#statstodon
Live, measured metrics for the hashtag #statstodon from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #statstodon
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 23:49 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 2026-07-27 23:49 UTCNo related tags with measured usage found for #statstodon.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 23:49 UTCEverything below is measured over the latest 40 public posts (spanning ~19835 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (40)
Avg boosts / post: 0.5
Top of the latest posts
I believe https://bayes.club is now on Mastodon v4, so you should be able to follow hashtags: #julialang #bayes #bayesian #stats #statstodon
People interested in this thread might enjoy the "Data Never Speak for Themselves" section from Nancy Krieger's article: "Structural Racism, Health Inequities, and the Two-Edged Sword of Data: Structural Problems Require Structural Solution
If I collect some data for a new treatment, but don't collect a control group, can I use the data from an older study that has the control condition? If so, how would I integrate this into my analysis? and what is the name for this? histori
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/statstodon