#LearningFromIncidents
Live, measured metrics for the hashtag #LearningFromIncidents from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #learningfromincidents
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.social (Mastodon public tags API) · fetched 2026-10-15 22:05 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-15 22:05 UTCNo related tags with measured usage found for #learningfromincidents.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-15 22:05 UTCEverything below is measured over the latest 33 public posts (spanning ~16940 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (32)
Avg boosts / post: 5.6
Top of the latest posts
Alright, let's do this #introduction business! Professionally I'm a staff reliability engineer (#SRE) at PagerDuty, where my interests lie in #LearningFromIncidents, #HumanFactors and safety. My wife Candice (@eastcoastcandice) and I live i
Today's #paper was long overdue: Lisanne Bainbridge's Ironies of Automation (https://ckrybus.com/static/papers/Bainbridge_1983_Automatica.pdf) The core thesis is that automated systems always end up being human-machine systems, and even as
Good #paper: Crista Vesel's Agentive Language in Accident Investigation: Why Language Matters in Learning from Events: https://web.archive.org/web/20200310145622/https://pubs.acs.org/doi/pdf/10.1021/acs.chas.0c00002 The paper states that in
#learningfromincidents across platforms
every network with a public tag surfaceFollow #learningfromincidents 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/learningfromincidents