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Science Telegram channels
Classified as Science — 6,254 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.
6,254 entries carry this topic, 0.193% of the 3,244,347 the classifier has read, which is 77.3% of the 4,196,191 entries the register holds a subscriber measurement for. The figures below were measured at 2 Nov 2026, 05:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
science/nature/energy/storage@energy_storageModel confidence 100% · Channel · measured 17 October 202653 subscribers
@faktanyaModel confidence 70% · Channel · measured 4 October 202653 subscribers
Хорошие новости про животных@goodnewsanimalModel confidence 96% · Channel · measured 26 October 202653 subscribers
Наука & Технологии@technopickModel confidence 99% · Channel · measured 22 August 202653 subscribers
Астрономия@KosmoSMetaModel confidence 100% · Channel · measured 15 October 202653 subscribers
ИПРАН РАН@issras_officialModel confidence 97% · Channel · measured 29 October 202653 subscribers
«پلوتون | pluto»@Pluto_NewsModel confidence 100% · Channel · measured 25 October 202653 subscribers
Записки минералога@bykovskiy_metallModel confidence 98% · Channel · measured 1 November 202653 subscribers
NANO.BZTE@Nanotechnology0Headquarters0bzteModel confidence 74% · Channel · measured 19 October 202653 subscribers
طبیعت ایران@ir_nature_irModel confidence 86% · Channel · measured 29 September 202652 subscribers
خان کندی Khan kandi@khankandiModel confidence 64% · Channel · measured 24 October 202652 subscribers
Science@rnerdsModel confidence 99% · Channel · measured 22 October 202652 subscribers
Акваэкология | Новости@aquaecologyModel confidence 98% · Channel · measured 2 October 202652 subscribers
Блокнот космонавта🛰@i_cosmoModel confidence 97% · Channel · measured 12 October 202652 subscribers
@informazioneliberaeveraceModel confidence 61% · Channel · measured 22 October 202652 subscribers
Cosmic Wanderings@CosmicWanderingsModel confidence 100% · Channel · measured 3 October 202652 subscribers
برنامه وبینارهای منابع طبیعی@webinar8Model confidence 38% · Channel · measured 22 October 202652 subscribers
Tyuris’s highlights@tyurisModel confidence 87% · Channel · measured 25 October 202652 subscribers
WS Evidence & Research@wsevidenceModel confidence 86% · Channel · measured 13 October 202652 subscribers
Хочу знать@hochu_znayuModel confidence 69% · Channel · measured 22 October 202652 subscribers
TechnoVis Group@technovisModel confidence 78% · Channel · measured 27 October 202652 subscribers
Новости из мира науки@Hi_tech_news_n1Model confidence 100% · Channel · measured 10 October 202652 subscribers
NASA@NASAstellarModel confidence 95% · Channel · measured 5 September 202652 subscribers
ЗЕЛЕНОЕ НАСЛЕДИЕ@zelsledModel confidence 87% · Channel · measured 28 October 202652 subscribers
Mendeleev Russian Chemical Society@mendeleev_chemsocModel confidence 99% · Channel · measured 24 October 202652 subscribers
Biologik faktlar 💡@BiologikfaktlarModel confidence 94% · Channel · measured 3 October 202651 subscribers
CosmoPersia@CosmoPersiaModel confidence 91% · Channel · measured 12 October 202651 subscribers
Green lines 🎋@tanuki_NaNaModel confidence 68% · Channel · measured 28 October 202651 subscribers
Scientific Facts Telegram Channel List about climate change / cambiamento climatico and other topics@ScienceFactsChannelsModel confidence 81% · Channel · measured 30 October 202651 subscribers
重力倒转@i365je94e4ixc56aModel confidence 39% · Channel · measured 31 August 202651 subscribers
PhysicsSingularityGrp (Физическая Сингулярность)@PhysicsSingularGrpModel confidence 95% · Supergroup · measured 25 October 202651 members
Ethio Astronomy🌍@ethioastronModel confidence 81% · Channel · measured 26 September 202651 subscribers
Псевдослучайные эмерджентности@NoiseThatThinksModel confidence 49% · Channel · measured 29 October 202651 subscribers
UkrBIN: Biodiversity Information Network@ukrbinModel confidence 98% · Channel · measured 25 October 202650 subscribers
steffirn@steffirnModel confidence 88% · Channel · measured 27 October 202650 subscribers
Научпоп по-русски@nauchpoprusModel confidence 61% · Channel · measured 16 September 202650 subscribers
Дивотное Жня@divotnoeModel confidence 37% · Channel · measured 21 October 202650 subscribers
⚜️Engel in Schwarz ⚜️@euerengelModel confidence 43% · Channel · measured 11 September 202650 subscribers
Igorekkow@igorek_kowModel confidence 90% · Channel · measured 27 October 202650 subscribers
Эволюция@smartselfevolutionModel confidence 31% · Channel · measured 29 October 202650 subscribers
عـلـــوم Sciences@xcnckvdModel confidence 53% · Supergroup · measured 22 October 202650 members
Небо над нами🌌@astroskyirya1Model confidence 55% · Supergroup · measured 22 October 202650 members
Смотри в небо!@meteoquestModel confidence 55% · Channel · measured 14 October 202650 subscribers
Место встречи науки и алхимии@nauka_alhimiaModel confidence 99% · Channel · measured 14 October 202650 subscribers
Исторически сложилось@istoricheski_slorzylosModel confidence 67% · Channel · measured 13 October 202650 subscribers
T CrB recurrent nova (group)@T_CrB_renovaModel confidence 93% · Supergroup · measured 22 October 202650 members
Полярис@polariscentrModel confidence 79% · Channel · measured 31 October 202650 subscribers
افراتک@afratechprModel confidence 48% · Channel · measured 16 October 202649 subscribers
r_science@r_scienceModel confidence 99% · Channel · measured 20 October 202649 subscribers
Astronomics Moon🌕_Moon Status Videos & Astronomy Status Videos🔭🎶🌙@astronomics_moonModel confidence 96% · Channel · measured 1 November 202649 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.