#StatsTeaching
Live, measured metrics for the hashtag #StatsTeaching from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #statsteaching
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 2026-07-28 11:50 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 2026-07-28 11:50 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 11:50 UTCEverything below is measured over the latest 13 public posts (spanning ~12688 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (13)
Avg boosts / post: 4.6
Top of the latest posts
What actually happens when you add a covariate to a regression model? What does it mean to "control for" or "adjust for" a variable? What is the difference between a model with two main effects and a model with a two-way interaction? A deep
Suppose you've designed a study and found a "null" result, and you'd like to argue that you've found evidence against the phenomenon in question producing a large effect. Should you emphasize how statistically powerful your study was? You c
I love applied statistics. It combines styles of reasoning that I enjoy on a personal level and value as a matter of principle, and we can use it to formulate and compare some kinds of arguments to contribute to a better (less wrong) unders
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/statsteaching