#ProBit
Live, measured metrics for the hashtag #ProBit from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #probit
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 2026-09-26 11:40 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 2026-09-26 11:40 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-26 11:40 UTCEverything below is measured over the latest 9 public posts (spanning ~49241 hours).
Posting hours (UTC)
Languages: English (9)
Avg boosts / post: 0.1
Top of the latest posts
#statstab #164 Ordinal regression models to analyze Likert scale data Thoughts: One of the clearest tutorial for ordinal, cumulative (probit), models I've seen. Reports probabilities and expected mean ratinga, w/ plots! #ordinal #brms #like
#statstab #574 When the Mean is Misleading: a Guide to Ordered Regression for Meaningfully Modeling Ordinal Outcomes Thoughts: The "it's fine to analyse likert/ordinal data with t-test" camp is not doing themselves any favours #ordinal #lik
#statstab #410 Ordered Regression Models: a Tutorial Thoughts: A very comprehensive paper on analysing ordinal data. #orderedregression #regression #ordinal #tutorial #likert #probit #logit https://link.springer.com/article/10.1007/s11121-0
What “probit” means
Wiktionary · Wikipediaprobit
- nounA unit, derived from a standard distribution, used in measuring the responses to doses
In statistics, the probit function converts a probability into a score. This score indicates how many standard deviations a value from a standard normal distribution is from the mean. For example, a probability of 0.5 (50%) represents the exact middle of the distribution, so its probit score is 0. A smaller probability like 0.025 (2.5%) is far to the left on the curve, corresponding to a probit score of approximately −1.96.
“Probit” on Wikipedia (CC BY-SA) →#probit across platforms
every network with a public tag surfaceFollow #probit 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/probit