#representativeness
Live, measured metrics for the hashtag #representativeness from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #representativeness
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 2026-10-15 12:29 UTC1 uses by 1 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 2026-10-15 12:29 UTCNo related tags with measured usage found for #representativeness.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-15 12:29 UTCEverything below is measured over the latest 7 public posts (spanning ~35969 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 0.7
Top of the latest posts
Now out in @[email protected] : "#Neuroforecasting reveals generalizable components of choice" (link below)! Led by the intrepid Alex Genevsky , we examined how deep brain activity (in the Nucleus Accumbens or #NAcc ) can forecast choi
🧪Which patients are missing from #ClinicalResearch? 👩🦳Women, elderly people, certain ethnicities, people with disabilities & people from rural areas are underrepresented in #ClinicalTrials. IHI's READI project is improving #Representati
Checking #survey #representativeness by looking at canary variables https://statmodeling.stat.columbia.edu/2023/02/07/checking-survey-representativeness-by-looking-at-canary-variables/ #statistics
What “representativeness” means
WikipediaThe representativeness heuristic is used when making judgments about the probability of an event being representational in character and essence of a known prototypical event. It is one of a group of heuristics proposed by psychologists Amos Tversky and Daniel Kahneman in the early 1970s as "the degree to which [an event] (i) is similar in essential characteristics to its parent population, and (ii) reflects the salient features of the process by which it is generated". The representativeness h
“Representativeness heuristic” on Wikipedia (CC BY-SA) →#representativeness across platforms
every network with a public tag surfaceFollow #representativeness 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/representativeness