#probabilities
Live, measured metrics for the hashtag #probabilities from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #probabilities
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 2026-09-28 19:21 UTC2 uses by 2 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 2026-09-28 19:21 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-28 19:21 UTCEverything below is measured over the latest 40 public posts (spanning ~12528 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (40)
Avg boosts / post: 0.9
Top of the latest posts
"Mediators, confounders, colliders – a crash course in causal inference", by @[email protected] (2019): theoreticalecology.wordpress.com/2019/04/14/m... 🧵 #policy #intervention #graphs #causality #causalInference #stat
"Mediators, confounders, colliders – a crash course in causal inference" by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/ 🧵 #policy #intervent
"Statistics, it turns out, is a subject built on hope. The belief that if you measure a thing carefully enough, honestly enough, with sufficient regard for the people being measured, you can make better decisions." https://altermag.com/arti
What “probabilities” means
Wiktionary · WikipediaProbability concerns events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur. This number is often expressed as a percentage (%), ranging from 0% to 100%. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes are both equally probable; the probability of "heads" equals the probability of "tails"; and since no other outc
“Probability” on Wikipedia (CC BY-SA) →#probabilities across platforms
every network with a public tag surfaceFollow #probabilities 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/probabilities