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Telegram profile photo for Александр Панчин

Channel

Александр Панчин

@ScienceInquisition

Verified by Telegram

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cross-platform identity · Referenced elsewhere · Cite this entry

49,147subscribers

-377 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001271706510
TypeChannel
Username@ScienceInquisition
DescriptionНикто не ждёт научную инквизицию! Канал научно-популярного блога https://youtube.com/@scinquisitor? A+ Канал включен Роскомнадзором в перечень персональных страниц — https://knd.gov.ru/license?id=67455b17d793bc0b0b68ec34&registryType=bloggersPermission
Created19 April 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/ScienceInquisition

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 38% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Previous handles

Recorded in 2019 as “Scinquisitor” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

49,14749,55149,3495 August 202610 November 2026
63 measurements spanning 96 days, net -377. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 49,086–49,612 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 08:0649,147-10
8 Nov 2026, 20:5949,157-21
7 Nov 2026, 14:2149,178-27
6 Nov 2026, 12:3549,205-2
5 Nov 2026, 15:2849,207-9
4 Nov 2026, 12:0949,216-2
3 Nov 2026, 08:5849,218-8
2 Nov 2026, 09:0549,226-10
1 Nov 2026, 08:4149,236+14
31 Oct 2026, 10:1749,222+1
30 Oct 2026, 11:4749,221-10
29 Oct 2026, 14:5949,231+8
28 Oct 2026, 17:4449,223-8
27 Oct 2026, 14:0949,231-4
26 Oct 2026, 14:1149,235-5
25 Oct 2026, 13:3949,240-18
24 Oct 2026, 15:1849,258-2
23 Oct 2026, 17:5749,260+23
22 Oct 2026, 16:2949,237-8
21 Oct 2026, 14:3649,245first reading

Engagement

61 posts held, back to 6 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.0%
avg views ÷ 49,147 subscribers
Avg views / post
16,200
13 posts measured
Reaction rate
2.61%
reactions ÷ views · ER floor
Posts in window
13
of 61 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held61 (6 July 2026 – 9 November 2026)
Views total210,590
Reactions total5,487
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:40 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈496
Videos
≈42
Links
≈1,120

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
19m 58s
Average length
3m 20s

Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

33,046 reactions across 61 posts, in 62 distinct kinds. The most used accounts for 41.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13,68541.4%
👍5,44716.5%
🔥3,68511.2%
custom 51976706502563207513,43910.4%
😁2,2256.73%
👏6171.87%
🤯6041.83%
🤔3751.13%
🎉3651.10%
😢3210.971%
🤣2820.853%
custom 52067141548696157432810.85%
🙏2170.657%
❤‍🔥1850.56%
🤡1840.557%
custom 5199534601638274329930.281%
🤬900.272%
👎850.257%
💯850.257%
🥰830.251%
42 further kinds6982.11%

Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 61 of the 61 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 33,046 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 6 July 2026 to 9 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
216
across the posts below
Posts paid on
38
of 61 we hold a reading for · 62%
Most on one post
45
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ScienceInquisition. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 61 most recent posts we hold for this entry, published 6 July 2026 to 9 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
1.64%
1 of 61 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
31,200
over 1 measured post
Median views · rest
24,300
over 60 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VfnxxmRcTN14 September 20264 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 61 most recent posts we hold, published 6 July 2026 to 9 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 13 posts held from the last 30 days (30.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 12:31 UTC≈7,990 views284 reactionsread 11 November 2026
Photo

Александр Марков — один из самых грамотных популяризаторов науки, которых я знаю, доктор биологических наук, прекрасный специалист по эволюции, автор замечательных научно-популярных книг и отличный лектор. Мы неоднократно с ним выступали вместе. Очень рекомендую сходить на его лекцию «Как Homo sapiens захватил мир и уничтожил всех соперников». Александр расскажет о временах, когда на Земле одновременно жили несколь…

👍163🔥61❤43❤‍🔥6custom 51995346016382743294🤔2😍2🍓1

7 Nov 2026, 13:01 UTC≈10,000 views245 reactionsread 11 November 2026
Video

Video, posted without a caption

👍149❤47😁28🤡5❤‍🔥4custom 51995346016382743294🔥3🕊2

7 Nov 2026, 12:33 UTC≈10,000 views213 reactionsread 11 November 2026

Неожиданно меня упомянули в видео про анализ ДНК. И неожиданно оказалось хорошо. Научной загадкой стало то, о какой смертельной болезни говорит автор. По его утверждению анализ ДНК спас ему жизнь, болезнь убивает в 40-50, не видна на обычных чекапах, а профилактируется таблеткой. Гипотез множество. Одна из них — сосудистый тип синдрома Элерса — Данлоса из-за мутации в гене COL3A1. Это редкое и тяжёлое наследственн…

❤124custom 519767065025632075140👍34🔥7❤‍🔥3🤔3🤡1custom 51995346016382743291

7 Nov 2026, 11:28 UTC≈10,200 views204 reactionsread 11 November 2026

Друзья! Нужна ваша помощь в одном небольшом бытовом квесте. Во Франции есть сайт, на котором люди покупают друг у друга разные товары и услуги. Я хочу там зарегистрироваться, но обнаружил неожиданное препятствие: для регистрации нужны рекомендации от трёх уже одобренных пользователей. В целом отличная система защиты от ботов и мошенников. Единственный недостаток — у меня пока не завелось трёх друзей во Франции. По…

❤114custom 519767065025632075146🤔21😁7👍4👀3🤷‍♀3❤‍🔥2

1 Nov 2026, 11:03 UTC≈17,400 views282 reactions1 Starread 11 November 2026
Photo

Хэллоуин закончился, а мракобесие никуда не делось. Мы тут постоянно боремся с лженаукой, суевериями и теориями заговора. Но почему бы иногда не взглянуть на эту борьбу с другой стороны? Например, сыграть в настолку, где нужно не защищать науку, а всеми силами мешать научному прогрессу! И у меня отличная новость для всех, кто готов присоединиться к этой борьбе. Мы возобновили международную доставку «Научного Апокал…

🔥155❤50custom 519767065025632075140👍19❤‍🔥5👏4🤡4😁2

29 Oct 2026, 17:39 UTC≈18,200 views757 reactionsread 11 November 2026
Photo

Я вижу, что тема психосоматики не оставила вас равнодушными. Это видео немножко бьет рекорды по просмотрам за первые сутки. Спасибо, что смотрите. А еще я прочитал комментарии и ужаснулся. Сколько людей оказывается пострадало от заблуждения, что все болезни от нервов. Очень сочувствую всем кто с таким столкнулся. Надеюсь, что внес свой небольшой вклад в борьбу с этим злом.

❤524🔥104custom 519767065025632075183👍26🥰8❤‍🔥6⚡2🤡2

29 Oct 2026, 11:57 UTC≈16,900 views306 reactionsread 11 November 2026
Photo

Хочу порекомендовать вам послушать моего друга и коллегу Александра Тышковского. Саша занимается биологией старения, проводит действительно важные исследования и при этом умеет очень интересно о них рассказывать. В этом году он стал первым автором исследования, которое попало на обложку журнала Nature. В нём учёные изучали, как по активности генов можно оценивать биологический возраст и предсказывать смертность у ра…

🔥159👍55👌33❤29custom 519767065025632075120❤‍🔥6🥰2👏1

28 Oct 2026, 11:03 UTC≈17,400 views736 reactions1 Starread 11 November 2026

Меня поражает наглость сторонников псевдонаучной психосоматики, которые обещают лечить рак и другие серьёзные болезни силой мысли. Особенно показательны три истории «чудесных исцелений», одна кринжовее другой. Начнём с Луизы Хей, одной из главных героинь в истории кринжовой психосоматики. По её словам, в конце 70-х у неё диагностировали рак шейки матки. Хей связала болезнь с эмоциональной травмой, пережитой в детст…

❤421🔥162custom 519767065025632075169👍42😢10🤬9❤‍🔥8😁6

27 Oct 2026, 11:05 UTC≈14,100 views642 reactionsread 11 November 2026
Photo

Завтра на моём YT-канале выйдет новое видео, а сегодня попробуйте угадать, о чём оно будет. Жду ваши версии в комментариях!

😁473custom 519767065025632075180❤43🤣23💅7💯5❤‍🔥3🔥3

24 Oct 2026, 16:37 UTC≈20,200 views334 reactionsread 11 November 2026

Вчера YouTube мне подкинул мое самое первое выступление на ТВ (технически это называется Радио, но там было с видео). Помню, что хотя тема достаточно очевидная, готовился я очень серьезно. Знакомый физик помогал мне с одним из аспектов аргументации, другую часть аргументов прогонял через коллегу биолога. Было бы очень стыдно ляпнуть глупость в прямом эфире. А девушка, с которой я на тот момент встречался, ходила со …

❤193👍54custom 519767065025632075132🔥31😁12👏3🥰3🤔2

21 Oct 2026, 17:13 UTC≈20,800 views357 reactionsread 11 November 2026
Photo

Сегодня среда без нового выпуска. Можно было бы заподозрить происки мирового правительства, но есть более скучное объяснение: видео выходят раз в две недели, и сегодня не «та самая» неделя. А пока держите мой топ-9 видео, которые рекомендую посмотреть. Доказательная косметология. Какие средства для кожи работают и что известно про ботокс. Одни ли мы во Вселенной. Разговор с Владимиром Сурдиным. Обсуждаем поиски вн…

❤218custom 519767065025632075157🔥35👍22custom 519953460163827432911❤‍🔥4👌2💔2

20 Oct 2026, 11:53 UTC≈23,200 views532 reactionsread 11 November 2026
Photo

Что общего у человека и котика? Синдром Марфана. Ученые впервые подробно описали у домашних кошек это редкое наследственное заболевание соединительной ткани, хорошо изученное у людей. Героями исследования стали два кота-брата — Шэгги и Гэри. С детства они отличались необычно длинными лапами. Но дело оказалось не только во внешности: у обоих обнаружили вывихи хрусталиков и расширение корня аорты. Последнее особенно …

❤337👍64🤯33😢33💔25custom 519767065025632075124custom 51995346016382743295🙏4

Showing the 12 most recent of 61 posts we hold for @ScienceInquisition. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@ScienceInquisition edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
25 August 2026
Most recent edit
10 November 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 14 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Вселенная Плюс
@vselennayaplus · 83,665
#1
Корсунская | wolker_not_nude
@wolker_not_nude · 7,102
#2
Безвольные каменщики
@kamenschiki · 56,691
#3
N + 1
@nplusone · 65,475
#4
Алексей Хохлов
@khokhlovAR · 14,461
#5
Михаил Лидин
@mihail_lidin · 10,200
#6
Лаборатория Научных Видео
@ScienceVideoLab · 5,597
#7
Пушка | Передний край науки и технологий
@sci_one_tv · 15,971
#8
Тамара Эйдельман
@eidelman · 78,768
#9
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,485
#10
Байесятина
@bayesyatinaa · 3,593
#11
Neural Shit
@NeuralShit · 54,643
#12
Илья Варламов
@varlamov · 234,920
#13
Faridaily
@faridaily24 · 62,351
#14
Трансгуманизм в далеком городе
@transposables · 4,419
#15
Мозг на полную
@full_brains · 23,167
#16
Медуза — LIVE
@meduzalive · 1,116,844
#17
Михаил Гельфанд
@mikhail_s_gelfand · 10,717
#18
Екатерина Шульман
@eschulmann · 299,577
#19
Дудь
@yurydud · 849,561
#20
Varlamov News
@varlamov_news · 1,058,875
#21
АНТРОПОГЕНЕЗ.RU
@antropogenez_ru · 36,580
#22
КОНТЕКСТ
@kontext_channel · 865,039
#23
Пездуза
@pezduzalive · 368,836
#24
Илья Яшин
@yashin_russia · 133,380
#25
Смотровая Военврача
@dr_voenvrach · 45,377
#26
(Не)занимательная антропология
@anthro_fun · 74,886
#27
Страдающее Средневековье
@pophistory · 140,206
#28
На Zzzzzападном фронте без перемен
@ve4niyvoy · 112,484
#29
Сталингулаг
@stalin_gulag · 297,807
#30
Ateo Breaking
@ateobreaking · 742,328
#31
Максим Кац
@maximkatz · 167,495
#32
НЕВЗОРОВ
@nevzorovtv · 1,000,929
#33
BBC News | Русская служба
@bbcrussian · 388,911
#34
Александр Штефанов
@alexandrshtefanov · 205,137
#35
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#36
[BadComedian]
@TheBadComedian · 605,041
#37
aavst2022
@aavst2022 · 175,172
#38
Двач
@dvachannel · 969,331
#39
Денис Чужой про комедию
@fe_city_boy · 27,504
#40
Denis Sexy IT 🤖
@denissexy · 140,753
#41
PLUSHEV/ПЛЮЩЕВ
@PlushevChannel · 97,956
#42
Дождь | Новости
@tvrain · 468,109
#43
ШЕПЕЛИН
@ilyashepelin · 44,987
#44
Алексей Пивоваров
@Alexey_Pivo_varov · 304,377
#45
Кровавая барыня
@bloodysx · 1,172,884
#46
Быть Или
@ToBeOr_Official · 304,333
#47
Минута в минуту
@minutavminutu · 167,164
#48
Космос просто
@cosmosprosto · 62,401
#49
Страшная химия
@chemistrybyolga · 33,687
#50
Колезев ☮️
@kolezev · 59,175
#51
Медиазона
@mediazzzona · 164,621
#52
r/ретранслятор
@retra · 165,780
#53
Utopia Show
@topapopa · 369,995
#54
Лентач
@oldlentach · 262,523
#55
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,375
#56
Vladimir Pastukhov
@v_pastukhov · 151,967
#57
Аббас Галлямов
@abbasgallyamovpolitics · 85,082
#58
RationalAnswer | Павел Комаровский
@RationalAnswer · 110,207
#59
The Insider
@theinsider · 152,865
#60
Екатерина Дунцова
@Duntsova · 102,976
#61
Новая газета Европа
@novaya_europe · 117,136
#62
Zelenyikot и космос
@egorovkot · 17,937
#63
Неземной телеграм / Астроном Сурдин
@nezemnoy_telegram · 96,819
#64
Сиолошная
@seeallochnaya · 81,254
#65
Объектив
@obyektiv_media · 44,506
#66
Артемий Лебедев
@temalebedev · 968,108
#67
ЗаТелеком 🌐
@zatelecom · 64,510
#68
Новая газета
@novaya_pishet · 211,151
#69
Дабл Ять
@otsuka_bld · 158,837
#70
Проверено.Медиа
@provereno_media · 34,819
#71
Vert Dider
@vertdider · 27,113
#72
Rozetked
@rozetked · 646,921
#73
эйай ньюз
@ai_newz · 98,339
#74
SciTopus – Наука и научпоп
@SciTopus · 9,971
#75
UsachevRuslan
@usachevruslan · 246,176
#76
НАУЧ ПОП
@sergei_nauchpop · 4,984
#77
The Bell
@thebell_io · 105,097
#78
Важные истории
@istories_media · 125,726
#79
Астапов Павел
@astapov_pavel · 61,214
#80
ОВД-Инфо
@ovdinfo · 120,445
#81
Дух антрополога
@anthrospirit · 3,381
#82
Redroom Text
@redroomtext · 75,870
#83
Мемы мирового правительства • Джо Чиз
@jocheez · 1,029
#84
ASTRA
@astrapress · 350,188
#85
Можем объяснить
@mozhemobyasnit · 460,863
#86
Макар Светлый
@makarsvet13 · 3,849
#87
DS ASTRO🌚
@dsastro2 · 3,904
#88
ИА Панорама
@ia_panorama · 76,084
#89
Агентство. Новости
@agentstvonews · 103,748
#90
Лентач
@lentachold · 391,588
#91
Накипело. Майкл Наки
@Nackepelo · 215,193
#92
Baza
@bazabazon · 1,557,057
#93
addmeto
@addmeto · 72,001
#94
твиттота
@twitt_ota · 418,557
#95
Conflict Intelligence Team
@CITeam · 86,375
#96
Улица Шкловского - Астрономия и Космонавтика
@ShklovskyStr · 19,219
#97

Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Мозг на полную
@full_brains · 23,167
Telegram ranks this channel #2 of 92 here — alongside 91 others — read 22 September 2026
АНТРОПОГЕНЕЗ.RU
@antropogenez_ru · 36,580
Telegram ranks this channel #5 of 97 here — alongside 96 others — read 1 September 2026
Вселенная Плюс
@vselennayaplus · 83,665
Telegram ranks this channel #5 of 95 here — alongside 94 others — read 18 August 2026
Безвольные каменщики
@kamenschiki · 56,691
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 23 August 2026
Страшная химия
@chemistrybyolga · 33,687
Telegram ranks this channel #10 of 91 here — alongside 90 others — read 4 September 2026
Всё как у зверей / радио Тимонова
@timonova · 20,497
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 27 September 2026
Vert Dider
@vertdider · 27,113
Telegram ranks this channel #20 of 96 here — alongside 95 others — read 11 September 2026
Смотровая Военврача
@dr_voenvrach · 45,377
Telegram ranks this channel #21 of 98 here — alongside 97 others — read 28 August 2026
Филолог всея Руси
@filologofrus · 42,915
Telegram ranks this channel #23 of 95 here — alongside 94 others — read 30 September 2026
ПостНаука
@postnauka · 22,286
Telegram ranks this channel #29 of 99 here — alongside 98 others — read 23 September 2026
Доктор Утин
@doctorutin · 24,617
Telegram ranks this channel #29 of 97 here — alongside 96 others — read 16 September 2026
Дубынин о мозге 🧠
@dubininvaofficial · 44,717
Telegram ranks this channel #29 of 97 here — alongside 96 others — read 28 August 2026
Неземной телеграм / Астроном Сурдин
@nezemnoy_telegram · 96,819
Telegram ranks this channel #29 of 96 here — alongside 95 others — read 16 August 2026
Thoisoi
@TheThoisoi · 45,049
Telegram ranks this channel #31 of 90 here — alongside 89 others — read 27 August 2026
Физика от Побединского
@physfrompobed · 27,278
Telegram ranks this channel #32 of 95 here — alongside 94 others — read 13 September 2026
Dagon
@dagon_official · 25,521
Telegram ranks this channel #33 of 89 here — alongside 88 others — read 13 September 2026
Критическое мышление
@ThinkCritical · 46,997
Telegram ranks this channel #34 of 97 here — alongside 96 others — read 26 August 2026
Редакция.Наука
@redakciya_nauka · 31,581
Telegram ranks this channel #41 of 95 here — alongside 94 others — read 5 September 2026
Вадим Савицкий [Когнитивный надзор]
@cognitivniynadzor · 24,892
Telegram ranks this channel #42 of 92 here — alongside 91 others — read 14 September 2026
Космос просто
@cosmosprosto · 62,401
Telegram ranks this channel #43 of 94 here — alongside 93 others — read 22 August 2026
Кот Шрёдингера
@kot_sh · 25,261
Telegram ranks this channel #44 of 95 here — alongside 94 others — read 15 September 2026
QWERTY
@qwerty_live · 21,514
Telegram ranks this channel #49 of 94 here — alongside 93 others — read 23 September 2026
Артифекс | История и искусство
@artifex · 19,696
Telegram ranks this channel #51 of 89 here — alongside 88 others — read 30 September 2026
Химия – Просто
@ChemistryEasy · 24,889
Telegram ranks this channel #61 of 94 here — alongside 93 others — read 14 September 2026

This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q24642276 on Wikidata, read 8 November 2026
LabelAlexander Y. Panchin
Descriptionbiologist and popularizer of science
YouTubeUC2q4mHrzoR48mwSuAYtVPtQ

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Охота на электроовец. Большая книга искусственного интеллекта (ru.wikipedia.org)
“…отзывы о книге{{cite web|url=https://t.me/ScienceInquisition/887|title=Отзыв Александра Панчина}}<ref name="Отзыв…”
read 1 November 2026

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Александр Панчин” (@ScienceInquisition), 49,147 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ScienceInquisition.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.