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Science Telegram channels
Classified as Science — 6,246 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.
6,246 entries carry this topic, 0.193% of the 3,240,573 the classifier has read, which is 77.3% of the 4,193,021 entries the register holds a subscriber measurement for. The figures below were measured at 1 Nov 2026, 03:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
Лаборатория #47@behavioralneurogenomicsModel confidence 95% · Channel · measured 22 October 2026143 subscribers
Наука Турковского / Передний рубеж@nauka_turkovskyModel confidence 100% · Channel · measured 18 October 2026143 subscribers
حاوی@havi_journalModel confidence 98% · Channel · measured 10 October 2026142 subscribers
Andromeda and universe with Dagim👽🌖🌗🌗⭐️💫🪐☄💥@eerturModel confidence 99% · Channel · measured 26 October 2026142 subscribers
The Real Flat Earth Stolen History@TheRealFlatEarthModel confidence 95% · Channel · measured 23 October 2026142 subscribers
Klimareporter°@klimareporterModel confidence 58% · Channel · measured 2 October 2026142 subscribers
Non linear plasma@NonlinearplasmaModel confidence 99% · Channel · measured 20 October 2026142 subscribers
@hayadan1Model confidence 100% · Channel · measured 26 October 2026142 subscribers
Вятский палеонтологический музей 🦎@paleomusModel confidence 43% · Channel · measured 21 October 2026142 subscribers
ኢትዮ-ዩኒቨርስ 🚀🌌✨ Ethio-Universe@Ethio_astro_nomyModel confidence 100% · Channel · measured 15 October 2026142 subscribers
Институт оптики атмосферы имени В. Е. Зуева@IAO_SBRAS_TomskModel confidence 100% · Channel · measured 23 October 2026142 subscribers
مبانی کوانتوم@QuantumFoundationsModel confidence 97% · Channel · measured 29 October 2026142 subscribers
Пришла, увидела, запуталась@katya_davyd0vaModel confidence 63% · Channel · measured 27 October 2026142 subscribers
Образ науки@sciartbridgeModel confidence 86% · Channel · measured 20 October 2026142 subscribers
ISFSEA@isfseaModel confidence 85% · Channel · measured 26 October 2026142 subscribers
Веренцов. Путь.@veren_covModel confidence 42% · Channel · measured 19 October 2026142 subscribers
رامان|RamanLab.ir@RamanLabModel confidence 99% · Channel · measured 30 September 2026141 subscribers
در فرازنای کواکب@FaraznayeKavakebModel confidence 99% · Channel · measured 14 October 2026141 subscribers
دکتر کاسکو@drcascoModel confidence 61% · Channel · measured 20 October 2026141 subscribers
දැනුම මිනුම@danumaminumasamanyadaneemaModel confidence 46% · Channel · measured 25 October 2026141 subscribers
Iran Clean Air Association@irancleanairassociationModel confidence 56% · Channel · measured 27 October 2026141 subscribers
нотатки соліпсиста@youdonotexistModel confidence 92% · Channel · measured 27 October 2026141 subscribers
Теперь ТЫ креативный@YourecreativeModel confidence 81% · Channel · measured 22 October 2026141 subscribers
Your Mary.lab 💚🌱🧪@bchlaboratoryModel confidence 96% · Channel · measured 31 October 2026141 subscribers
غیر تخصصی@khoshkhande1Model confidence 48% · Channel · measured 21 October 2026140 subscribers
GRAPHENE FACTS ‼️@graphenefactsModel confidence 98% · Channel · measured 29 October 2026140 subscribers
Кіровоградський рибоохоронний патруль@fishpatrolkrModel confidence 80% · Channel · measured 30 September 2026140 subscribers
MED Bums Tech@medbumstechModel confidence 70% · Channel · measured 25 September 2026140 subscribers
SpentaGen@spentagenModel confidence 48% · Channel · measured 27 October 2026140 subscribers
Планетная суета@suetaplanetModel confidence 94% · Channel · measured 26 October 2026140 subscribers
Бананы и география@geographyandtestModel confidence 56% · Channel · measured 29 October 2026140 subscribers
ماه و ستاره@mah_va_setarehModel confidence 92% · Channel · measured 2 October 2026139 subscribers
Buchin нейро@neuroraveModel confidence 99% · Channel · measured 21 October 2026139 subscribers
Наука и технологии@sciencenewworldModel confidence 96% · Channel · measured 19 October 2026139 subscribers
اراده نیوز@eradenewsModel confidence 54% · Channel · measured 29 October 2026139 subscribers
Green Arc@GreenArcGroupModel confidence 70% · Supergroup · measured 29 October 2026139 members
مرکز توسعه فناوری محصولات پیشرفته سلولی رویان@royanatmpModel confidence 49% · Channel · measured 23 October 2026139 subscribers
کیهانه | KAYHANA@Kayhana_OfficialModel confidence 100% · Channel · measured 27 October 2026139 subscribers
quorum@bio_quorumModel confidence 94% · Channel · measured 22 October 2026139 subscribers
Усилители интеллекта@IntelligenceAmplificationModel confidence 79% · Channel · measured 28 October 2026139 subscribers
Физика, инженерия и астрономия как науки будущего@PhysicsEngineeringAndAsroModel confidence 94% · Channel · measured 19 October 2026139 subscribers
KAVOSHeZAMAN@KAVOSHeZAMANModel confidence 92% · Channel · measured 31 October 2026139 subscribers
@scintilena@ScintilenaModel confidence 90% · Channel · measured 27 August 2026138 subscribers
Celestial Events Tomorrow@SkyEventsModel confidence 100% · Channel · measured 28 October 2026138 subscribers
አስገራሚ እውነታዎች ከዕውቀት ማህደር@Kewket_MahiderModel confidence 100% · Channel · measured 9 October 2026138 subscribers
RADAЯ magazine@radarzineModel confidence 93% · Channel · measured 23 October 2026138 subscribers
СНМ ИСЗФ@snm_iszfModel confidence 94% · Channel · measured 27 October 2026138 subscribers
Abdulla Chimirzayev@Abdulla_ChimirzayevModel confidence 42% · Channel · measured 30 October 2026138 subscribers
Клонинг Фасилити@cloning_techModel confidence 85% · Channel · measured 24 October 2026138 subscribers
Владимирський інформує@vladymyrskyi_imwModel confidence 95% · Channel · measured 28 October 2026138 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.