#causalimpact

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

hashtag.org network · sponsored

Own #causalimpact

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.

$5.00/ year · 12-character #name
Claim #causalimpact — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-03 16:25 UTC
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03

0 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 2026-11-03 16:25 UTC

No related tags with measured usage found for #causalimpact.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-03 16:25 UTC

Everything below is measured over the latest 4 public posts (spanning ~18314 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (3) · English (1)

Avg boosts / post: 0

Top of the latest posts

  • ICYMI: Explaining incrementality: Incrementality is the causal impact of advertising: the outcomes a campaign actually caused, measured against what would have happened with no campaign at all. https://ppc.land/incrementality/ #Incrementali

    PPC Land@ppcland♥ 0↻ 02026-09-01 12:28 UTCView post →

  • Линейная регрессия на стероидах: Double Machine Learning для устранения смещений в данных Любой аналитик знает, что самым надёжным способом проверки гипотез являются рандомизированные контролируемые эксперименты (RCT), или, как их называют

    Habr@[email protected]♥ 0↻ 02026-06-04 14:12 UTCView post →

  • Оценка эффекта релиза, когда изменение затронуло не всех: diff-in-diff и синтетический контроль Когда релиз раскатан не на всех, классическая схема "до" и "после" начинает рушиться: метрика растет или падает одновременно из-за сезонности, в

    Habr@[email protected]♥ 0↻ 02026-01-17 18:42 UTCView post →

#causalimpact across platforms

every network with a public tag surface

Follow #causalimpact 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/causalimpact