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Science Telegram channels
Classified as Science — 6,239 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.
6,239 entries carry this topic, 0.193% of the 3,236,987 the classifier has read, which is 77.3% of the 4,190,181 entries the register holds a subscriber measurement for. The figures below were measured at 31 Oct 2026, 02:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
Agarrá lo Básico@agarralobasicoModel confidence 95% · Channel · measured 30 October 2026319 subscribers
Astrophiles club@AstrophilesClubModel confidence 100% · Channel · measured 25 October 2026319 subscribers
رصدخانه ابن صلاح همدانی 🔭@ibn_salah_hamedani_observatoryModel confidence 90% · Channel · measured 29 October 2026319 subscribers
GIAF о науке@giafundModel confidence 41% · Channel · measured 24 October 2026319 subscribers
ЖГИ МЕТАЛЛ@askmetalModel confidence 90% · Channel · measured 24 October 2026319 subscribers
Iranian Light Source Facility@IranianLightSourceFacilityModel confidence 95% · Channel · measured 19 October 2026318 subscribers
کانال علمی بیگ بنگ@bigbang20Model confidence 100% · Channel · measured 25 October 2026318 subscribers
Крупные специалисты ⚒🔬@paleounknownModel confidence 91% · Channel · measured 27 October 2026318 subscribers
ИТМО.НАУКА@itmo_scienceModel confidence 83% · Channel · measured 26 October 2026317 subscribers
Prirodaphoto.ykt@ugms14Model confidence 53% · Channel · measured 30 October 2026317 subscribers
Yashil burchak@yashil_burchakModel confidence 100% · Channel · measured 22 October 2026317 subscribers
Climate Change Science on Telegram by GRT: World Meteorological Organization / NASA / IPCC / ONU / OOH / UN United Nations etc.@ClimateChangeScienceModel confidence 98% · Channel · measured 29 October 2026317 subscribers
Overheard by the lake@overheard_by_the_lakeModel confidence 84% · Channel · measured 21 October 2026317 subscribers
Passione Astronomia@PassioneAstronomiaModel confidence 100% · Channel · measured 21 October 2026316 subscribers
Томский научный центр СО РАН www.tsc.ru@TSCSBRASModel confidence 45% · Channel · measured 27 October 2026316 subscribers
Tethysgraphi | المپیاد علوم زمین@TethysgraphiModel confidence 79% · Channel · measured 30 October 2026316 subscribers
ГИН РАН@GINRAN_MoscowModel confidence 100% · Channel · measured 29 October 2026316 subscribers
Voleurs de soleil@voleursdesoleilModel confidence 92% · Channel · measured 26 October 2026316 subscribers
Антропологический Дневник@Anthropological_DiaryModel confidence 59% · Channel · measured 16 October 2026315 subscribers
NEW ФАКТ@ifakts24Model confidence 88% · Channel · measured 27 October 2026315 subscribers
Patent_Mafia@patentmafiaModel confidence 42% · Channel · measured 22 October 2026315 subscribers
انجمن علمی رازی@anjomanraziiModel confidence 92% · Channel · measured 27 October 2026315 subscribers
آموزشکده سواد محیط زیست@eduenvironmentModel confidence 73% · Channel · measured 20 October 2026314 subscribers
آرشیو راز هستی@ArchiveRazeHastiModel confidence 94% · Channel · measured 28 October 2026314 subscribers
Газон Хиггса@GazonHiggsaModel confidence 94% · Channel · measured 16 October 2026314 subscribers
ШІ@openshiModel confidence 99% · Channel · measured 29 October 2026314 subscribers
Научно-практический центр НАН Беларуси по земледелию@izisbyModel confidence 88% · Channel · measured 30 October 2026314 subscribers
Ти цього не знав?!@tyetogo_neznalModel confidence 96% · Channel · measured 26 October 2026314 subscribers
Super Universe@superuniverseauModel confidence 100% · Channel · measured 25 October 2026314 subscribers
Zenzeli@zenzeliModel confidence 77% · Channel · measured 20 October 2026313 subscribers
Придумай, Саш@CVDailyModel confidence 98% · Channel · measured 20 October 2026313 subscribers
Phase Today Italia@phasetoday_itModel confidence 81% · Channel · measured 29 October 2026313 subscribers
Alexander Dück 1@alexander_deuckModel confidence 54% · Channel · measured 27 October 2026313 subscribers
ИМГРЭ@geo_imgreModel confidence 64% · Channel · measured 24 October 2026313 subscribers
Curly Live@curly_scienceModel confidence 93% · Channel · measured 16 October 2026313 subscribers
УрО РАН@scientists_uroranModel confidence 97% · Channel · measured 23 October 2026313 subscribers
BlackBox|جعبه سیاه@BlackBoxlogModel confidence 100% · Channel · measured 24 October 2026313 subscribers
Научный Центр «Хотылёво»@hotylevoModel confidence 56% · Channel · measured 29 October 2026313 subscribers
Curiosophy Live@curiosophyModel confidence 96% · Channel · measured 28 October 2026313 subscribers
کانال علوم و مهندسی فناوری نانو دانشگاه صنعتی سهند@SUTnanotechModel confidence 80% · Channel · measured 26 October 2026312 subscribers
Прогулки с орнитологом🦉@birds_tour_ruModel confidence 57% · Channel · measured 3 October 2026312 subscribers
Дикая тварь из дикого леса@dikaya_tvar_iz_dikogo_lesaModel confidence 98% · Channel · measured 30 October 2026312 subscribers
грибы на завтрак@nazavtrakModel confidence 95% · Channel · measured 20 October 2026311 subscribers
Мезофизика@mipt_vniiaModel confidence 98% · Channel · measured 30 October 2026310 subscribers
™Archive@hamster_dotdah_faModel confidence 98% · Channel · measured 27 October 2026310 subscribers
AMINBIC@aminbicltdModel confidence 99% · Channel · measured 22 October 2026309 subscribers
טבע בצבע@tevadezevaModel confidence 58% · Channel · measured 30 October 2026309 subscribers
Ajoyib Faktlar 💡@FAKTYORModel confidence 90% · Channel · measured 30 October 2026308 subscribers
FinAzamat@finazamatModel confidence 76% · Channel · measured 23 October 2026308 subscribers
Факты и кофе@facts_and_coffeeModel confidence 84% · Channel · measured 23 October 2026308 subscribers
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.