Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
Growth
31 measurements spanning 43 days, net -58. 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 14,777–14,855 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:39
14,786
-3
14 Sept 2026, 04:18
14,789
-1
12 Sept 2026, 14:58
14,790
-1
10 Sept 2026, 14:19
14,791
-5
7 Sept 2026, 10:56
14,796
-1
4 Sept 2026, 12:57
14,797
-4
2 Sept 2026, 22:18
14,801
-1
31 Aug 2026, 21:25
14,802
-2
30 Aug 2026, 21:35
14,804
-4
29 Aug 2026, 20:35
14,808
-2
28 Aug 2026, 20:03
14,810
+1
27 Aug 2026, 23:34
14,809
-2
27 Aug 2026, 02:36
14,811
-2
26 Aug 2026, 00:43
14,813
-3
25 Aug 2026, 03:57
14,816
-1
24 Aug 2026, 00:13
14,817
-3
22 Aug 2026, 08:54
14,820
-1
19 Aug 2026, 22:45
14,821
-2
19 Aug 2026, 00:34
14,823
-3
17 Aug 2026, 20:54
14,826
first reading
Engagement
19 posts held, back to 22 June 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.48%
avg views ÷ 14,786 subscribers
Avg views / post
367
2 posts measured
Reaction rate
0.819%
reactions ÷ views · ER floor
Posts in window
2
of 19 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 31 August 2026
Posts held
19 (22 June 2024 – 31 August 2026)
Views total
733
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:13 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
5s
Average length
5s
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
126 reactions across 15 posts, in 15 distinct kinds. The most used accounts for 24.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
31
24.6%
👍
24
19.0%
❤
23
18.3%
🤔
9
7.14%
💯
8
6.35%
🤡
6
4.76%
💩
5
3.97%
🤓
5
3.97%
😁
4
3.17%
😨
3
2.38%
✍
2
1.59%
🌚
2
1.59%
🤯
2
1.59%
👌
1
0.794%
🤣
1
0.794%
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 15 of the 19 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 126 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 22 June 2024 to 31 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.
«Мементо»: когда память становится врагом — и единственным союзником
В «Мементо» герой с антероградной амнезией вынужден фиксировать важные вещи в татуировках, записках и фото — без этих «костылей» он не может держаться за реальность. В жизни мы не теряем память так радикально, но тоже зависим от внешних опор: календарей, заметок в телефоне, фото в галерее.
При этом память и у нас не как видеозапись: каждый раз, вс…
Эль‑Ниньо и Ла‑Нинья: океаны и погода на нашей планете
Землю не зря называют Голубой планетой. Океан не только покрывает более 70 % её поверхности, но и определяет климатические условия по всему миру. «Переключатель» погоды, спрятанный в водах, — это Эль‑Ниньо — Ла‑Нинья, или ENSO (El Niño–Southern Oscillation). «Эль‑Ниньо» в переводе с испанского — «малыш, мальчик», а «Ла‑Нинья» — «девочка». Название появилось из‑з…
Создание ядерного оружия — это божественный замысел, заявил патриарх Кирилл. «Через труд учёных, инженеров и рабочих явилась благодать и милость Божия над страной нашей».
А Патриарх умеет в Махабхарату и бои богов на Курукшетре...
Манипуляция через «подмену масштаба»: когда проблему делают то «пустяком», то «неподъёмной»
Пример из книги: в романе «Мы» Е. Замятина личность сводят к «номеру», а государство раздувают до абсолюта — так человек перестаёт верить, что может что‑то изменить.
В бизнесе это выглядит так: на жалобу о сбое в процессе отвечают «это просто мелкая ошибка» (масштаб уменьшают, чтобы не разбираться), а на предложение улучшить…
🇨🇳 Поднебесная, не изменяя своей традиции быть на шаг впереди планеты всей, сейчас усиленно создает искусственный интеллект, способный не просто прогнозировать грядущие акции протеста, но и заблаговременно вычислять их вероятных зачинщиков.
Информация просочилась в сеть после грандиозной утечки данных из Geedge Networks. Эта фирма занимается реализацией коммерческих аналогов «Великого китайского файрвола» — главного…
Американские ковбои умеют в тонкий троллинг.
Показать печального Дидье Дешама и следом внезапно 25-м кадром вставку из матча 98-го года, когда Франция выиграла ЧМ - это жестко.
На что они там намекают?
В понедельник «все нормальные люди делают так»… или ловушка идеального строя
В кино есть один вечный сюжет: героя пытаются сломать, прикрываясь фразой «Все нормальные люди делают так».
В «Шоу Трумана» все вокруг улыбались и уверяли героя, что его картонный мир — предел мечтаний, а хотеть чего-то другого — безумие.
В «Одержимости» безумный дирижер уничтожал музыкантов морально, используя железное оправдание: «Все в…
«Они уже здесь»: просто не в нашем спектре
Смотрели новый выпуск Файба «НЛО больше не миф? Рассекреченный заговор?»
Мы включили в надежде услышать свежий угол обзора на тему «неопознанного», но получили информацию из прошлого десятилетия с кучей отсылок на гостайны США и СМИ.
Поп-культура твердит: инопланетяне обязаны быть другими — пугающими, непонятными, легко опознаваемыми, чтобы их можно было сразу начать боят…
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Представьте «Гранд-отель» с бесконечным числом номеров, и все они заняты. Приходит новый гость и просит комнату. Можно ли его поселить, не выселяя никого? Что вы ответите гостю?
Да, можно. Нужно переселить гостя из номера 1 в номер 2, из 2 — в 3, из n — в n+1. Так освободится номер 1.
А теперь немного философии. Как математическую загадку можно переложить на жиз…
«Соломенное чучело»
Манипуляции... Одна из популярнейших сегодня тем! Как научиться противостоять им? Главное, научиться видеть 👀
Начнем с простой манипуляции — приём «соломенное чучело» (straw man fallacy). Это когда оппонент искажает ваш аргумент, преувеличивает его до абсурда или вырывает из контекста, а потом «опровергает» выдуманную им же версию.
Например, в сериале «Карточный домик» Фрэнк Андервуд регулярно …
Далеко не все отвечают правильно на вопрос, сколько же поз изображено на этом рисунке.
Человек склонен наделять мир смыслом через поиск порядка, симметрии, связей. Так и сделал Леонардо да Винчи, когда создал этот рисунок как иллюстрацию к трудам античного архитектора Витрувия.
Леонардо показал, что человеческое тело можно вписать в две ключевые геометрические формы: круг и квадрат.
Круг с древних времён символизи…
🤔6🤓5❤2🌚2
Showing the 12 most recent of 19 posts we hold for @teory_elit. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Загадки истории и спорные события нашего времени48%
Научно‑популярные обзоры прогресса: от энергетики до космоса45%
Практические инструменты для жизни: защита от манипуляций36%
Полезные книги и фильмы23%
Биографии мыслителей и деятелей, чьи идеи актуальны сегодня15%
Человеческий разум36%
Код символов, тайны чисел и геометрии36%
Исследование границ реальности: от антиутопий до гипотезы симуляции48%
Разбор философских понятий и острых современных дилемм41%
The shares total 328%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 22 June 2024 to 31 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 6 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Теория Элит” (@teory_elit), 14,786 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/teory_elit.
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.