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Science Telegram channels

Classified as Science — 6,256 entries on the register.

This topic is an LLM classification, not a measurement. A language model read each channel’s own title, description and recent posts and assigned the closest of 31 fixed categories. It is a judgement about what the channel is likely to be about; it can be wrong, and a channel can be revised to another topic on a later pass. The percentage on each row is the model’s own probability on this label — its confidence, not a measured accuracy.

6,256 entries carry this topic, 0.193% of the 3,247,028 the classifier has read, which is 77.4% of the 4,196,136 entries the register holds a subscriber measurement for. The figures below were measured at 2 Nov 2026, 20:09 UTC. The topic index has the other topics and the coverage in full.

Continuing — 50 more entries

Ordered by the most recent subscriber count we measured, largest first — not by how confident the model is or by how well a channel fits the topic. Membership and order come from a ranking that is rebuilt hourly and this page is cached for up to an hour more, so it can trail the live register by a couple of hours; a channel deleted or reclassified in that time is dropped when the page is next rebuilt rather than listed under the wrong topic. The confidence on each row is the model’s probability on Science, and a dash means none was recorded.

Every topic with a page

Other ways in

The same register, arranged by measured subscriber size, by the language of a channel’s own posts, or by how recently a channel last published — each of those is a measurement rather than a classification. “Other / unclassifiable” is counted on the browse index but has no page: it is where the classifier puts a channel it could not place, so a list of it would group entries by what we could not tell about them.