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Science Telegram channels
Classified as Science — 6,256 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.
6,256 entries carry this topic, 0.193% of the 3,246,822 the classifier has read, which is 77.4% of the 4,196,149 entries the register holds a subscriber measurement for. The figures below were measured at 2 Nov 2026, 19:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
Mind Energy@mind_energy_officialModel confidence 69% · Channel · measured 1 November 20265 subscribers
@carbonbriefModel confidence 49% · Channel · measured 8 October 20265 subscribers
@StyleLifeMellStroyModel confidence 51% · Channel · measured 12 October 20265 subscribers
Faktogram@faktogram_kanaliModel confidence 83% · Channel · measured 23 August 20265 subscribers
Микровселенная@micromirrModel confidence 98% · Channel · measured 27 October 20265 subscribers
@kolokol555Model confidence 57% · Channel · measured 29 September 20265 subscribers
Education Drive Turtle Hub@education_drive_turtle_hubModel confidence 97% · Channel · measured 11 September 20265 subscribers
The AI Scientist ♾️ Perpetual_Prompt@Perpetual_Prompt_NewsModel confidence 100% · Channel · measured 27 October 20265 subscribers
Позитивные новости@NovostiotliliModel confidence 50% · Channel · measured 29 October 20265 subscribers
WBA EVRIS@WBA_EVRISModel confidence 71% · Channel · measured 4 October 20265 subscribers
Кратко@kratko_labModel confidence 92% · Channel · measured 30 September 20265 subscribers
Мастер сновидений 🌙@dreams_of_GodModel confidence 40% · Channel · measured 28 October 20265 subscribers
aoreeya ( lāapā'tun )@laapatunModel confidence 51% · Channel · measured 26 October 20265 subscribers
آفرینش و دانش@Afarinesh_DaneshModel confidence 99% · Channel · measured 12 September 20264 subscribers
STUDIOMATCHS@studiomatchsModel confidence 52% · Channel · measured 30 October 20264 subscribers
Это Факт!@etofactumModel confidence 49% · Channel · measured 23 August 20264 subscribers
InterestinG@huhankablebaputinModel confidence 64% · Channel · measured 6 October 20264 subscribers
@openobservationsModel confidence 100% · Channel · measured 21 October 20264 subscribers
InspirePlanet@wanderpulse8Model confidence 81% · Channel · measured 11 September 20264 subscribers
По факту🤓@pofakktuModel confidence 95% · Channel · measured 8 October 20264 subscribers
biomechanicum sanum...@bmchsnModel confidence 84% · Channel · measured 19 October 20264 subscribers
@GolldenStarModel confidence 97% · Channel · measured 2 September 20264 subscribers
electrocat@electrocatModel confidence 53% · Channel · measured 26 September 20263 subscribers
Научный Нуб@nauchniynubModel confidence 98% · Channel · measured 22 August 20263 subscribers
Научный подход@scientifically_infoModel confidence 74% · Channel · measured 12 October 20263 subscribers
Neelgyansagar blog@neelgyansagarofficialModel confidence 93% · Channel · measured 22 August 20263 subscribers
Интересные факты@factsknowledgefModel confidence 50% · Channel · measured 30 August 20263 subscribers
Знаете ли вы?@znaete_lii_vyModel confidence 77% · Channel · measured 29 October 20263 subscribers
@protoscienceModel confidence 98% · Channel · measured 26 September 20263 subscribers
ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ@kmojLuEEat9hOTViModel confidence 98% · Channel · measured 2 October 20263 subscribers
Academia de Biotecnología | Divulgación Científica@AcademiaDeBiotecnologiaModel confidence 87% · Channel · measured 8 September 20263 subscribers
Lichtfrequenzen@LichtfrequenzenModel confidence 69% · Channel · measured 30 August 20263 subscribers
Chemical Response.@chemotropismModel confidence 90% · Channel · measured 30 August 20263 subscribers
MAYDAY story@storymaydModel confidence 77% · Channel · measured 27 October 20263 subscribers
Таблица Менделеева@Cs2WeModel confidence 56% · Channel · measured 24 October 20263 subscribers
Science@texnologiya_UzbekistanModel confidence 53% · Channel · measured 1 October 20263 subscribers
@ImperialCollegeModel confidence 80% · Channel · measured 17 October 20262 subscribers
Вагина Пингвина@vaginapenguinaModel confidence 62% · Channel · measured 2 October 20262 subscribers
Cosmic Frontier → مرز کیهانی@nasajameswebbModel confidence 100% · Channel · measured 28 September 20262 subscribers
@about_plantsModel confidence 99% · Channel · measured 29 October 20262 subscribers
P protection 🌾@plantlModel confidence 84% · Channel · measured 9 October 20262 subscribers
@channel_3HA4Model confidence 86% · Channel · measured 22 October 20262 subscribers
Дослідницький Куток@Research_cornerModel confidence 49% · Channel · measured 16 October 20262 subscribers
@the_apocalypsisModel confidence 93% · Channel · measured 14 October 20262 subscribers
Kimyo biologiya@kimyo2_biologiyaModel confidence 41% · Supergroup · measured 31 October 20262 members
Sun Simulator ☀️💿🌎@sunsimulatorModel confidence 81% · Channel · measured 3 October 20262 subscribers
@riemanntrueModel confidence 66% · Channel · measured 2 October 20262 subscribers
Agro-Canastra@canastraModel confidence 70% · Channel · measured 24 August 20262 subscribers
Все о космосе dino_space 🦕@dino_spaceModel confidence 100% · Channel · measured 30 October 20262 subscribers
Ниибанк@niibankModel confidence 49% · Channel · measured 31 August 20262 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.
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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.