#kfold_joint_significance

Live, measured metrics for the hashtag #kfold_joint_significance 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
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-07 06:34 UTC
0
08-01
0
08-02
0
08-03
0
08-04
0
08-05
0
08-06
0
08-07

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 2026-08-07 06:34 UTC

No related tags with measured usage found for #kfold_joint_significance.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-07 06:34 UTC

Everything below is measured over the latest 4 public posts (spanning ~115 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (4)

Avg boosts / post: 0

Top of the latest posts

  • Часть 3. Представление вероятности безотказной работы системы в виде ряда Тейлора В технологии логико‑вероятностного моделирования для оценки важности отказов элементов сложных технических систем (СТС) применяются показатели одно, двукратно

    Habr@[email protected]♥ 0↻ 02024-01-26 15:36 UTCView post →

  • Часть 2. Алгоритм расчета к-кратной совместной значимости в технологии логико-вероятностного моделирования Algorithm for calculating k-fold joint significance in the logical-probabilistic modeling technology Морозов В.И. , Morozov V.I. В ча

    Habr@[email protected]♥ 0↻ 02024-01-26 15:33 UTCView post →

  • Часть 2. Алгоритм расчета к-кратной совместной значимости в технологии логико-вероятностного моделирования Часть 2. Алгоритм расчета к-кратной совместной значимости в технологии логико-вероятностного моделирования Algorithm for calculating

    Habr@[email protected]♥ 0↻ 02024-01-25 12:32 UTCView post →

#kfold_joint_significance across platforms

every network with a public tag surface

Follow #kfold_joint_significance 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/kfold_joint_significance