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
9 measurements spanning 7 days, net -54. 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 49,462–49,532 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:56
49,470
-3
12 Aug 2026, 02:06
49,473
-6
11 Aug 2026, 02:15
49,479
-1
10 Aug 2026, 00:46
49,480
-10
9 Aug 2026, 01:51
49,490
-21
8 Aug 2026, 02:57
49,511
-11
7 Aug 2026, 04:37
49,522
-2
6 Aug 2026, 01:46
49,524
no change
5 Aug 2026, 22:06
49,524
first reading
Engagement
18 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
42.5%
avg views ÷ 49,470 subscribers
Avg views / post
21,000
14 posts measured
Reaction rate
2.73%
reactions ÷ views · ER floor
Posts in window
14
of 18 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
Window
Rolling 30 days · latest post in window 8 August 2026
Posts held
18 (6 July 2026 – 8 August 2026)
Views total
294,200
Reactions total
8,039
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:47 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
Video runtime
5m 02s
Average length
5m 02s
Measured directly from 1 video 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
9,673 reactions across 18 posts, in 46 distinct kinds. The most used accounts for 39.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,829
39.6%
👍
2,082
21.5%
🔥
1,165
12.0%
custom 5197670650256320751
971
10.0%
👏
421
4.35%
custom 5206714154869615743
276
2.85%
🤔
195
2.02%
🤬
74
0.765%
😁
68
0.703%
🤯
46
0.476%
🤡
45
0.465%
👎
42
0.434%
💔
40
0.414%
❤🔥
38
0.393%
🍌
36
0.372%
💊
34
0.351%
🥰
34
0.351%
🐳
27
0.279%
🕊
24
0.248%
custom 5199534601638274329
22
0.227%
26 further kinds
204
2.11%
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 areTelegram’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 18 of the 18 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 9,673reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 6 July 2026 to 8 August 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
90
across the posts below
Posts paid on
16
of 18 we hold a reading for · 89%
Most on one post
40
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 18 most recent posts we hold for this entry, published 6 July 2026 to 8 August 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.
Миша говорит, что это видео так задело чуткие сердца сектантов, что они пытались его удалить. Но безуспешно. А я считаю, что это дополнительный повод его посмотреть и зарепостить! Подаю пример.
https://youtu.be/SVawGBlJohs
Пластик часто называют почти вечным материалом. Но вообще-то однажды он вполне может стать… чьим-то обедом.
В 1975 году учёные обнаружили бактерии, которые научились перерабатывать отходы производства нейлона. Сам нейлон появился всего за несколько десятилетий до этого. Новая способность возникла буквально у нас на глазах — красивое и наглядное подтверждение того, как работает эволюция. Креационисты до сих пор плачу…
Друзья! Если вы в Алматы, есть отличный повод встретиться вживую.
Здесь есть сообщество, которое играет в одну из моих (теперь) любимых игр — «Кровь на Часовой башне». Если коротко, это что-то вроде «Мафии», только без ситуаций, когда после первого выбывания приходится полтора часа скучать.
Меня позвали сыграть в эту пятницу вечером, после рабочего дня. Если вы тоже в Алматы и хотите присоединиться — welcome! Будет…
На Академика АПЧХИ завели уголовное дело по статье «Мошенничество»
Новости про Почётного Академика АПЧХИ 2025 года Василия Генералова, руководителя московской клиники «ПланетаМед». Сообщают, что после многочисленных (буквально сотен) жалоб на методы лечения аутизма, практикуемые в клинике, на Генералова завели уголовное дело по статьям «Причинение тяжкого вреда здоровью по неосторожности» и «Мошенничество». Пострада…
Всем привет! В ближайшие 20 дней я буду в замечательном городе Алматы. Вообще дел тут много и встреч тоже, но я всегда ищу что-то новое и интересное. Если будут предложения, то пишите @scinquisitor. На все не соглашусь, но на что-то вполне могу.
Привет! Я вернулся с новостями науки, которые помогут нам всем не умереть.
В этом выпуске расскажу про новый тип иммунных клеток, которые буквально взрываются, чтобы уничтожить врагов, про способ снова сделать антибиотики эффективными против устойчивых бактерий и про открытие, которое может стать важным шагом на пути к борьбе со старением.
Устраивайтесь поудобнее! А ещё подписывайтесь на Substack, если хотите получ…
В очередной раз в новостях США тема лабораторной утечки коронавируса. И всё это на фоне гонений на учёных со стороны администрации Трампа.
Эксперта по гриппу задержало ФБР; вирусологу, изучавшему коронавирусы, предъявили обвинения в Детройте; двое известных вирусологов ушли в отставку или были смещены со своих постов, и так далее. Тем временем конспирологи (опять) обсуждают, что в частной переписке некоторые вирусол…
Недавно Ричард Докинз поразился возможностям нейросети Claude и допустил, что она может обладать сознанием.
Это вызвало волну хейта и негодования. В комментариях ему сразу начали объяснять, что Claude — всего лишь языковая модель. Она не думает, не понимает собственных слов, а просто предсказывает следующий фрагмент текста.
Но мне кажется, что эта критика Докинза незаслуженна. Я не думаю, что Докинз переоценивает н…
Радиация в больших дозах может вызывать мутации и рак. Но как вы думаете, насколько повысился риск онкологических заболеваний у жителей Хиросимы и Нагасаки, если взять тех, кто выжил после атомных бомбардировок и находился примерно в двух километрах от эпицентра взрыва? На таком расстоянии доза составляла около 1000 миллизивертов — это эквивалент примерно четырёхсот лет среднего естественного радиационного фона, но п…
Друзья! Очень хочется сказать большое спасибо.
Я сейчас нахожусь в Тбилиси, и хотя это даже не моя родная страна, каждый день ко мне подходят незнакомые люди и говорят что-то приятное.
Сегодня мне вообще подарили большого плюшевого бобра. И теперь у меня целая семья бобров.
Или вот. Когда я только приехал в свой отель, глубокой ночью, меня прямо у порога случайно узнала соседка и угостила вином. Как оказалось, она…
Showing the 12 most recent of 18 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.
Citation-graph rank
Citation-graph rank — 109,892 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Александр Панчин” (@ScienceInquisition), 49,470 subscribers as measured 12 August 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.