#actuarial
Live, measured metrics for the hashtag #actuarial from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #actuarial
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 08:51 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 2026-07-30 08:51 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 08:51 UTCEverything below is measured over the latest 17 public posts (spanning ~31611 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (17)
Avg boosts / post: 0.2
Top of the latest posts
Join our upcoming meetup to learn how R is applied to actuarial workflows in the health insurance industry to model expected claims and their uncertainty. 🗓️ 10 Jun 2026 🕕 18:00 -19:30 CEST 📍 TU Wien ✨ All genders and skill levels in R a
@glyph I hear you. My favourite (perhaps less jarring?) example is when a court declares they have found someone guilty, and that their threshold of guilt is "on balance of odds". I look at the lawyers and the witnesses and realise that non
@Simon318ppm @urlyman - I agree that: - the fundamental question might be of almost existential importance to organised groups, and humans who wish to form and maintain them. - finding common ground is essential, as is nurturing empathy in
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/actuarial