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Science Telegram channels
Classified as Science — 6,255 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.
6,255 entries carry this topic, 0.193% of the 3,245,110 the classifier has read, which is 77.3% of the 4,196,682 entries the register holds a subscriber measurement for. The figures below were measured at 2 Nov 2026, 09:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
НАО - Астрологический портал@nao_apModel confidence 84% · Channel · measured 12 October 202642 subscribers
𝗣𝗘𝗚𝗔𝗦𝗨𝗦 for Astronomy and Astrophysics@pegasusbyiasModel confidence 91% · Supergroup · measured 22 October 202642 members
Родная прырода@rodnaya_priroda_byModel confidence 96% · Channel · measured 28 October 202642 subscribers
NeuroLab@NeuroLab_uzModel confidence 91% · Channel · measured 18 October 202642 subscribers
🏛️ Записки Горного института научный журнал@ISSN_24113336Model confidence 99% · Channel · measured 23 October 202642 subscribers
μεταγεωμετρία 📐@metageometriaModel confidence 84% · Supergroup · measured 22 October 202641 members
ScienziatiMatti - Il bello della scienza@scienziatimattiModel confidence 100% · Channel · measured 10 September 202641 subscribers
Tymchasom@tymchasomModel confidence 99% · Channel · measured 20 October 202641 subscribers
А знаете ли вы💡@aznayetelyModel confidence 66% · Channel · measured 29 October 202641 subscribers
Zeit neue Wege zu gehen • Liebe gelingt@Zeit_neue_Wege_zu_gehenModel confidence 48% · Channel · measured 22 October 202641 subscribers
Байкальский музей СО РАН@baikalskijmuzeyModel confidence 78% · Channel · measured 29 September 202641 subscribers
NASAWebb | JWST Portal@JWSTPortalModel confidence 86% · Channel · measured 14 October 202641 subscribers
Темная материя@darkmateryModel confidence 63% · Channel · measured 30 October 202641 subscribers
Подільський Експрес@podillya_express_newsModel confidence 92% · Channel · measured 31 October 202641 subscribers
Залипательные заметки@zalipzamModel confidence 87% · Channel · measured 20 October 202641 subscribers
Time to Kek@time2kekModel confidence 87% · Channel · measured 2 October 202641 subscribers
Журналлар, Нашр@jurnallar_uzModel confidence 63% · Channel · measured 3 October 202641 subscribers
Orionica@orionicaaModel confidence 51% · Channel · measured 3 October 202641 subscribers
Kiomedical@KiomedicalModel confidence 87% · Channel · measured 13 October 202641 subscribers
Менделевий@Hayka_RU_PXTYModel confidence 100% · Channel · measured 2 October 202641 subscribers
Любители Астрономии@ma_ia_astronomModel confidence 100% · Channel · measured 10 October 202640 subscribers
@ecoruspacemeModel confidence 93% · Channel · measured 23 October 202640 subscribers
@Yuris_nightModel confidence 60% · Channel · measured 24 October 202640 subscribers
Инновационная Гавань@ttchantrModel confidence 95% · Channel · measured 28 September 202640 subscribers
Лаборатория органической электроники@sunhenModel confidence 97% · Channel · measured 28 October 202640 subscribers
Лаборатория игристых вин , "ФГБУН ВННИИВиВ «Магарач» РАН"@sparklingwineMAGARACHModel confidence 79% · Channel · measured 13 October 202640 subscribers
Нейрографт@neurograftModel confidence 44% · Channel · measured 29 September 202640 subscribers
Волок@archVOLOKModel confidence 74% · Channel · measured 21 August 202640 subscribers
ВНУТРИ ТЕБЯ не только нейроны🌌@vnutri_tebya_tiModel confidence 53% · Channel · measured 1 November 202640 subscribers
ПРАКСИС I НЕЙРО@praxis_neuroModel confidence 57% · Channel · measured 27 October 202640 subscribers
گروه نجوم علامه حلی سه دوره اول@astrohelli3Model confidence 99% · Channel · measured 2 November 202640 subscribers
دانش و اندیشه@danesh_andisheirModel confidence 94% · Channel · measured 27 October 202640 subscribers
Ирония познания@theironyofknowledgeModel confidence 98% · Channel · measured 17 October 202640 subscribers
AXAN 🛰 AeroSpace@AerospaceExplorationModel confidence 98% · Channel · measured 30 October 202640 subscribers
AstroCrimea@AstroCrimeaModel confidence 92% · Channel · measured 22 October 202640 subscribers
Фізика - це круто (physics.is.cool.69)@physics_is_cool_69Model confidence 71% · Channel · measured 2 October 202639 subscribers
The AEGIS Alliance@aegisallianceModel confidence 64% · Channel · measured 30 August 202639 subscribers
شرکت نیرو توان کرال@kralnt_coModel confidence 52% · Channel · measured 24 October 202639 subscribers
DIGI World@DigiWorldROModel confidence 100% · Channel · measured 21 October 202639 subscribers
ЗАЛЫ АМЕНТИ@halls_of_amentModel confidence 79% · Channel · measured 13 October 202639 subscribers
Space@spacex_technologyModel confidence 99% · Channel · measured 20 October 202639 subscribers
PSY100@do_psychologyModel confidence 95% · Channel · measured 16 September 202639 subscribers
NGC 57@Astronomie_Fan57Model confidence 94% · Channel · measured 4 October 202639 subscribers
Interstellar@para_zvezdModel confidence 99% · Channel · measured 26 October 202639 subscribers
Шёлк: жизнь шелкопряда@mychineseclub_silkModel confidence 96% · Channel · measured 16 September 202639 subscribers
Solarclean@energosolaruzModel confidence 58% · Channel · measured 3 October 202639 subscribers
کشاورزی نوین@NewAgriculturalmahmoodModel confidence 97% · Channel · measured 12 September 202638 subscribers
White noise@SelectedWhiteNoiseModel confidence 100% · Channel · measured 14 October 202638 subscribers
Радио Даня 🎤@ShvolModel confidence 68% · Channel · measured 21 October 202638 subscribers
Farhangtahrir@farhangtahrirketabModel confidence 60% · Channel · measured 12 October 202638 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.