#2019observations

Live, measured metrics for the hashtag #2019observations from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-08-01 22:58 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

0 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 2026-08-01 22:58 UTC

No related tags with measured usage found for #2019observations.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 22:58 UTC

Everything below is measured over the latest 2 public posts (spanning ~0 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

Used together with

Top of the latest posts

  • RT @[email protected] We allow and ban drugs based on history, not science. That creates the shadow market in which cartels and crime thrive, and people with addictions don't get help. The Global Commission on Drug Policy pointed it o

    padeluun ⁂@[email protected]002019-09-01 14:26 UTCView post →
  • RT @[email protected] Just some #2019observations: I can't book a train ticket online from Berlin to Rome or from Copenhagen to Paris. I can't even see the price. In Germany, I can't pick my train seat online. But we want to be a clim

    padeluun ⁂@[email protected]002019-09-01 14:24 UTCView post →

What “2019observations” means

Wikipedia

Observation in the natural sciences refers to the active acquisition of information from a primary source. It involves the act of noticing or perceiving phenomena and gathering data based on direct engagement with the subject of study.

Observation” on Wikipedia (CC BY-SA) →

#2019observations across platforms

every network with a public tag surface

Follow #2019observations 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/2019observations