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Science Telegram channels
Classified as Science — 6,257 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.
6,257 entries carry this topic, 0.193% of the 3,246,632 the classifier has read, which is 77.4% of the 4,196,216 entries the register holds a subscriber measurement for. The figures below were measured at 2 Nov 2026, 18:09 UTC. The topic index has the other topics and the coverage in full.
Continuing — 50 more entries
Universal Astrology Live 💫 Official@universalastrologyModel confidence 79% · Channel · measured 24 August 20268 subscribers
ПоСтройка@Po_StroykaModel confidence 38% · Channel · measured 27 October 20268 subscribers
@MamlekatTime24Model confidence 51% · Channel · measured 8 September 20268 subscribers
Атон в колеснице@aton_v_kolesModel confidence 85% · Channel · measured 7 October 20268 subscribers
NeoHorizon 🪐@NeoHorizonModel confidence 99% · Channel · measured 29 October 20268 subscribers
Deep¹¹@whales17Model confidence 97% · Channel · measured 15 October 20268 subscribers
@AmeisenReichModel confidence 59% · Channel · measured 10 October 20268 subscribers
NEBULA@nebulauzModel confidence 97% · Channel · measured 28 October 20268 subscribers
Paradoxik_lab@paradoxik_labModel confidence 99% · Channel · measured 25 August 20268 subscribers
Deep Kosmos@Deep_KosmosModel confidence 100% · Channel · measured 28 October 20267 subscribers
@antoniosdnaprojectModel confidence 99% · Channel · measured 7 October 20267 subscribers
Факт в такт@faktvtaktModel confidence 77% · Channel · measured 23 August 20267 subscribers
💡Интересные факты💡@in_faktyModel confidence 55% · Channel · measured 1 October 20267 subscribers
Радар землетрясений@earthquakes_radarModel confidence 58% · Channel · measured 29 October 20267 subscribers
Обо всём.@parapsiholModel confidence 94% · Channel · measured 6 October 20267 subscribers
Annihilation@annihilation3Model confidence 100% · Channel · measured 24 August 20267 subscribers
Небо - не предел@nebo_ne_predelModel confidence 100% · Channel · measured 20 October 20267 subscribers
معجزات علمی قرآن@mojezatelmiquranModel confidence 55% · Channel · measured 19 October 20267 subscribers
24 JOBRAA TIMES@twentyfourjobraatimesModel confidence 99% · Channel · measured 25 August 20267 subscribers
Композиты. Анализ конструкции@composite_materials_stModel confidence 92% · Channel · measured 6 September 20267 subscribers
CIB datafiles@CIBdataModel confidence 61% · Channel · measured 18 September 20267 subscribers
Space@tggvseModel confidence 97% · Channel · measured 30 September 20267 subscribers
Освітній Драйв Turtle Hub@education_drive_turtle_hub_uaModel confidence 100% · Channel · measured 11 September 20267 subscribers
Photographs@photographsModel confidence 99% · Channel · measured 31 October 20267 subscribers
Sigmatic | научно-популярный журнал@science_news_42Model confidence 99% · Channel · measured 26 October 20267 subscribers
Пандора Fact's@pandorafactsModel confidence 93% · Channel · measured 26 September 20267 subscribers
Interesting Facts@livefactsdailyModel confidence 84% · Channel · measured 16 October 20267 subscribers
Увлекательная Энтомология@RussiaAntModel confidence 98% · Channel · measured 2 November 20267 subscribers
J A R V I S@Jarvis_AlgorithmsModel confidence 75% · Channel · measured 22 October 20266 subscribers
Наука в Мире@eto_bezumieModel confidence 100% · Channel · measured 13 October 20266 subscribers
atm𝝄︪︩sph𝗲r𝗲@kejoraspaceModel confidence 100% · Channel · measured 26 August 20266 subscribers
@composite_materials_c18sModel confidence 90% · Channel · measured 27 September 20266 subscribers
Des domaines parapsycho-scientifiques@psygrenz_frzModel confidence 79% · Channel · measured 7 October 20266 subscribers
@passinonModel confidence 88% · Channel · measured 24 October 20266 subscribers
@bioinformatics_instituteModel confidence 82% · Channel · measured 26 September 20266 subscribers
Mission GS@mission_gsModel confidence 87% · Channel · measured 23 August 20266 subscribers
Диалектика систематизма@diasystemosModel confidence 66% · Channel · measured 30 August 20266 subscribers
@udivitelny_mirModel confidence 89% · Channel · measured 13 October 20266 subscribers
𝒞ветило звёзд !@kaito_shineModel confidence 96% · Channel · measured 15 October 20266 subscribers
Substack@substack0Model confidence 100% · Channel · measured 27 October 20266 subscribers
𝗠𝓮𝓽𝓮𝓸𝓻𝓸𝓵𝓸𝓰𝔂 𝗖𝓸𝓷𝓯𝓮𝓼𝓼𝓲𝓸𝓷 𓇼@meteorology_confModel confidence 79% · Channel · measured 26 September 20266 subscribers
Первое Интернет-Радио@pervoeModel confidence 90% · Channel · measured 4 September 20265 subscribers
Научный сотрудник@nauchnyysotrudnikModel confidence 100% · Channel · measured 15 October 20265 subscribers
COVID19@CONVIDModel confidence 96% · Channel · measured 6 October 20265 subscribers
🔬 Цікаві Досліди 🧬@intexperimentsModel confidence 98% · Channel · measured 30 September 20265 subscribers
GKVIDYA@trygkvidyaModel confidence 46% · Channel · measured 4 October 20265 subscribers
Suv_filtirlari musaffo_suv@Soglom_hayotN_1Model confidence 54% · Channel · measured 26 September 20265 subscribers
Space Is For You@spaceisforyouModel confidence 92% · Channel · measured 10 September 20265 subscribers
@iran_biomedModel confidence 87% · Channel · measured 10 October 20265 subscribers
ErronchikNews | Новостной канал@erronchiknewsModel confidence 74% · Channel · measured 10 September 20265 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.