#likelihoodratios

Live, measured metrics for the hashtag #likelihoodratios 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

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 16:52 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 16:52 UTC

No related tags with measured usage found for #likelihoodratios.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 16:52 UTC

Everything below is measured over the latest 4 public posts (spanning ~2786 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0

Top of the latest posts

  • @noamross @avehtari @modrak_m @millerdl @[email protected] To contrast linear and exponential models: 1) fit both to the data; 2) for each data point, calculate the likelihoods of observing that data point from each model, and the

    RDN@[email protected]♥ 0↻ 02023-04-03 19:36 UTCView post →

  • @david_colquhoun @Rufferito_Bandito Thanks for the link to your article. In my experience, formulating the alternative hypothesis (-es) is often not straightforward, and requires creative ways of re-casting both the question and the data--w

    RDN@[email protected]♥ 0↻ 02022-12-08 20:04 UTCView post →

  • @Rufferito_Bandito If you search online you will find most links to information about likelihood ratios are in the context of medical diagnostics, DNA testing, and criminal forensics, but the method is applicable to any case where there are

    RDN@[email protected]♥ 0↻ 02022-12-08 19:10 UTCView post →

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/likelihoodratios