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Science Telegram channels
Classified as Science — 6,242 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.
6,242 entries carry this topic, 0.193% of the 3,238,209 the classifier has read, which is 77.3% of the 4,191,726 entries the register holds a subscriber measurement for. The figures below were measured at 31 Oct 2026, 09:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
all_these_things@all_these_thingsModel confidence 99% · Channel · measured 30 October 2026253 subscribers
Divagazioni Zwitterioniche@zwitterioModel confidence 68% · Channel · measured 22 August 2026253 subscribers
Желаю Всё Знать 🌎 Познавательный канал@ZHelayu_Vsyo_ZnatModel confidence 62% · Channel · measured 20 October 2026253 subscribers
Запасная планета@zapasnayaplanetaModel confidence 74% · Channel · measured 30 August 2026253 subscribers
r/ChemicalReactionGIFs@r_chemicalreactiongifsModel confidence 99% · Channel · measured 19 October 2026252 subscribers
Biology Media@BiologyMediaModel confidence 68% · Channel · measured 28 October 2026252 subscribers
Тихоходки@ComputatisTardigradesModel confidence 85% · Channel · measured 29 October 2026252 subscribers
Человек Будущего@Human_of_The_FutureModel confidence 37% · Channel · measured 12 October 2026252 subscribers
غارشناسی فارسی@PersianSpeleologyModel confidence 99% · Channel · measured 21 October 2026251 subscribers
Anthropologies@anthropologiesModel confidence 78% · Channel · measured 9 October 2026251 subscribers
@epd_newsModel confidence 59% · Channel · measured 30 October 2026251 subscribers
Горячие источники@eternalblizzardModel confidence 97% · Channel · measured 23 October 2026251 subscribers
هواشناسی برای کشاورز (تهک)@kermanshahtahakModel confidence 95% · Channel · measured 23 October 2026250 subscribers
КОСМОС ДЛЯ КАЖДОГО@spaceforeveryone1Model confidence 100% · Channel · measured 8 October 2026250 subscribers
fisicaquantistica.it@fisicaquantistica_itModel confidence 70% · Channel · measured 8 October 2026250 subscribers
Наука Урала@uralscienceModel confidence 100% · Channel · measured 28 October 2026250 subscribers
ЗнаниеЁмко@qbit_spbModel confidence 98% · Channel · measured 20 October 2026250 subscribers
AuroraWatch Shetland@awuk_shetlandModel confidence 95% · Channel · measured 28 October 2026249 subscribers
Тайны человека@mysteryofmanModel confidence 85% · Channel · measured 23 October 2026249 subscribers
Сверхвысокие Технологии@ultrahightechModel confidence 56% · Channel · measured 25 August 2026249 subscribers
@ecologymusic/kapadzong@ecologymusicModel confidence 79% · Channel · measured 29 October 2026249 subscribers
ФГБУ «НЦЭСМП»@regmedcentreModel confidence 51% · Channel · measured 20 October 2026249 subscribers
🪐The Big Bang Theory🌏@The_Big_BangTheoryModel confidence 99% · Channel · measured 21 October 2026249 subscribers
@EarthFromSpaceCNModel confidence 96% · Channel · measured 24 October 2026249 subscribers
GerdooTv@gerdooiqModel confidence 85% · Channel · measured 28 October 2026248 subscribers
Энтомологический канал@insectsssModel confidence 75% · Channel · measured 22 October 2026248 subscribers
Lacopa Group@lacopa_groupModel confidence 84% · Channel · measured 25 October 2026248 subscribers
@ZakhidovSTModel confidence 81% · Channel · measured 29 September 2026248 subscribers
Необъяснимые встречи@unexmeetModel confidence 74% · Channel · measured 28 October 2026247 subscribers
ZaVeter@ZaVeterModel confidence 74% · Channel · measured 19 October 2026247 subscribers
Rikhtman@rikhtmanModel confidence 93% · Channel · measured 22 October 2026246 subscribers
Эксперимент l Наука@trial_scienceModel confidence 100% · Channel · measured 27 October 2026246 subscribers
Комитет по науке и технологиям ДНР@GKNT_DNR_NEWSModel confidence 83% · Channel · measured 26 October 2026246 subscribers
MedNews@mednewsinModel confidence 44% · Channel · measured 12 October 2026246 subscribers
Saraei.org@saraei_orgModel confidence 56% · Channel · measured 21 October 2026246 subscribers
Team Gushchina Official@team_ksyuModel confidence 53% · Channel · measured 28 October 2026246 subscribers
Путилковский астроном@astro_expModel confidence 98% · Channel · measured 30 October 2026246 subscribers
ЛАБОРАТОРИЯ ПРАВА@labpravo_ruModel confidence 80% · Channel · measured 28 October 2026245 subscribers
Astrophile.@AstrophileModel confidence 86% · Channel · measured 26 October 2026245 subscribers
Science diagrams that look like shitposts@shitorscienceModel confidence 99% · Channel · measured 28 October 2026245 subscribers
Нетипичный академик@AVSoldatenkoAVModel confidence 95% · Channel · measured 18 October 2026245 subscribers
Brave New World@bravenewworldblogModel confidence 98% · Channel · measured 24 October 2026244 subscribers
Quantum Papers@QuGlobeModel confidence 82% · Channel · measured 26 October 2026244 subscribers
Астро-Идея@ASTRO_IDEAModel confidence 100% · Channel · measured 9 October 2026244 subscribers
Vialactea_cosmology@vialacteaModel confidence 70% · Channel · measured 11 September 2026243 subscribers
Молекулы повседневности@epigenetics_and_meModel confidence 98% · Channel · measured 17 October 2026243 subscribers
Омский АНЦ (СибНИИСХоз)@omskancModel confidence 91% · Channel · measured 20 October 2026243 subscribers
Ультрамарина@ultramarina_pozitivModel confidence 79% · Channel · measured 25 October 2026243 subscribers
مرکز نوآوری هایتک@iranhightech_1Model confidence 57% · Channel · measured 26 October 2026243 subscribers
گروه نجوم سپهر مشهد@nojoom_sepehrModel confidence 78% · Channel · measured 21 October 2026242 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.