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Science Telegram channels

Classified as Science — 6,235 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.

6,235 entries carry this topic, 0.193% of the 3,234,909 the classifier has read, which is 77.2% of the 4,189,087 entries the register holds a subscriber measurement for. The figures below were measured at 30 Oct 2026, 14:09 UTC. The topic index has the other topics and the coverage in full.

Continuing — 50 more entries

Призраки Арктиды
@ghosts_of_arctidaModel confidence 68% · Channel · measured 30 October 2026444 subscribersكنز المعلومات
@kanzalmaelumatModel confidence 66% · Channel · measured 29 October 2026441 subscribersمکانیسم عالم
@MechanismAlamModel confidence 98% · Channel · measured 29 October 2026441 subscribersDaneshemicrobshenasi🔬
@MicrobialSciencesInfectionModel confidence 81% · Channel · measured 25 October 2026441 subscribersОтпечаток науки
@imprintscienceModel confidence 92% · Channel · measured 30 October 2026441 subscribers·˚ ༘♡ nyaas ·˚ˎˊ˗
@gegeeonlyModel confidence 77% · Channel · measured 25 October 2026441 subscribersОткрытая Лабораторная
@openlaba2024Model confidence 57% · Channel · measured 28 October 2026441 subscribersThe Curious Vault
@TheCuriousVaultModel confidence 48% · Channel · measured 28 October 2026440 subscribersЦветочное лицо
@tot_tut_tamModel confidence 100% · Channel · measured 28 October 2026439 subscribersBioPills
@biopillsModel confidence 85% · Channel · measured 27 October 2026438 subscribersFunny and Amazing science facts
@Amazing_Science_FactsModel confidence 95% · Channel · measured 29 October 2026438 subscribersNoosphere
@noosphere_initiativesModel confidence 100% · Channel · measured 27 October 2026438 subscribersУрбанизация и Арктика
@canorus_hseModel confidence 78% · Channel · measured 26 October 2026438 subscribersСообщество физикализма💡
@yanlyutnevModel confidence 56% · Channel · measured 28 October 2026437 subscribersکارشناسان علوم دام و طیور
@olomdaamModel confidence 100% · Channel · measured 24 October 2026435 subscribersБиоТехСинтег
@biotechsyntegModel confidence 81% · Channel · measured 30 October 2026435 subscribersЛНФ ОИЯИ / FLNP JINR
@flnp_jinrModel confidence 100% · Channel · measured 28 October 2026434 subscribersВселенная Атомов
@scientific_spaceModel confidence 100% · Channel · measured 18 October 2026434 subscribersEureka
@eurekablogModel confidence 100% · Channel · measured 30 September 2026434 subscribersCarbonEdu
@CarbonEduModel confidence 85% · Channel · measured 30 October 2026434 subscribersВолонтёры Леса
@volonterylesaModel confidence 93% · Channel · measured 27 October 2026434 subscribersКак устроен мир с Тимофеем Баженовым. РЕН ТВ
@kak_ustroen_mir_rentvModel confidence 78% · Channel · measured 23 October 2026434 subscribersПродолжаем наблюдение
@caplog42Model confidence 95% · Channel · measured 24 October 2026434 subscribersالمجلة العربية للعلوم ونشر الأبحاث - AJSRP
@ajsrpcomModel confidence 58% · Channel · measured 24 October 2026433 subscribersУФИЦ РАН
@uficranModel confidence 92% · Channel · measured 10 October 2026433 subscribersQuantenphysik 🎲
@PhysikdeModel confidence 99% · Channel · measured 18 October 2026432 subscribersکانال علــــوم کــــاوش
@mk007oloomkavoshchannelModel confidence 66% · Channel · measured 26 October 2026431 subscribersانجمن علمی مهندسی نفت دانشگاه علم و صنعت
@iust_petroleumModel confidence 40% · Channel · measured 29 October 2026431 subscribersСтранно, Но Факт | Наука и Факты
@Neo_my_EducationModel confidence 75% · Channel · measured 29 October 2026431 subscribersالطاقة الحرة
@free_energyModel confidence 85% · Channel · measured 22 October 2026430 subscribersبچه های بیوتکنولوژی
@zist_biotechModel confidence 79% · Supergroup · measured 30 October 2026429 membersCURIOSITY💁🏻‍♀️
@interesthalynkaModel confidence 69% · Channel · measured 16 October 2026429 subscribers"Морские и речные рыбы"
@sladkiy_son_rybakaModel confidence 94% · Channel · measured 27 October 2026429 subscribersمرکز تحقیقات علوم اعصاب 🧠
@NeurosciencemashhadModel confidence 44% · Channel · measured 28 October 2026429 subscribersМузей естестественной истории Татарстана
@tatarstan_natural_museumModel confidence 51% · Channel · measured 26 October 2026428 subscribersLINAJE IBERO 🦅🪶⚡⚡🌀
@LINAJE_IBEROModel confidence 78% · Channel · measured 30 October 2026428 subscribersR1a-Z93
@R1aZ93Model confidence 80% · Channel · measured 23 October 2026428 subscribersاکسیجن
@Oxygen_S_KhModel confidence 91% · Channel · measured 27 October 2026427 subscribersЗолотые умы на Алтае
@altai_gmModel confidence 97% · Channel · measured 17 October 2026427 subscribersБиблиотека КБГУ
@biblioteka_kbguModel confidence 45% · Channel · measured 24 October 2026427 subscribersکانال ثبت پرندگان ایران
@iranbirdsrecordsModel confidence 90% · Channel · measured 27 October 2026426 subscribersJAXA🇯🇵 | CNSA🇨🇳
@JAXA_newsModel confidence 72% · Channel · measured 19 October 2026426 subscribersМузей почвоведения
@DokuchaevSoilMuseumModel confidence 87% · Channel · measured 27 October 2026426 subscribersГенотип
@genotype_mediaModel confidence 98% · Channel · measured 23 October 2026426 subscribersRobotic Knowledge
@roboticknowledgeModel confidence 99% · Channel · measured 28 October 2026425 subscribersСЕКВЕНИРУЙ ЭТО 🧬 | МГЦ Геномед
@genomeddocModel confidence 92% · Channel · measured 28 October 2026425 subscribersSismos Chile
@sismoschileModel confidence 55% · Channel · measured 23 October 2026425 subscribersМоре волнуется, а мы нет
@ocean_4uModel confidence 59% · Channel · measured 24 October 2026425 subscribersКосмос 🔭
@cosmosxModel confidence 100% · Channel · measured 25 October 2026424 subscribersInFocus
@infocusnewsuzModel confidence 98% · Channel · measured 27 October 2026424 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.