#crossvalidated
Live, measured metrics for the hashtag #crossvalidated from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #crossvalidated
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Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-28 01:30 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.online (Mastodon public search API) · fetched 2026-07-28 01:30 UTCNo related tags with measured usage found for #crossvalidated.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-28 01:30 UTCEverything below is measured over the latest 3 public posts (spanning ~12584 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 1
Top of the latest posts
While going over the methods, I noticed they used #NMF where #PCA is mostly used. And while refreshing ;) my knowledge of the differences between the two, I stumbled upon a simple question/answer on #CrossValidated: https://stats.stackexcha
The enshitification of yet another beloved website - what will we do when we can't trust whether Stack Overflow or Cross Validated posts are real or AI nonsense? https://meta.stackexchange.com/questions/389811/moderation-strike-stack-overfl
Question for the #machinelearning minded folks. Has someone made a random tree algorithm that partitions *ordered lists* into sets with a similar ordering? Posted on #crossvalidated here: https://stats.stackexchange.com/questions/601816/ran
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/crossvalidated