4 measurements spanning 4 days, net -22. 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 3,557–3,585 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 07:11
3,560
-20
7 Aug 2026, 00:42
3,580
-2
6 Aug 2026, 12:46
3,582
no change
6 Aug 2026, 12:38
3,582
first reading
Engagement
20 posts held, back to 8 June 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.97%
avg views ÷ 3,560 subscribers
Avg views / post
248
3 posts measured
Reaction rate
5.51%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 2 August 2026
Posts held
20 (8 June 2026 – 2 August 2026)
Views total
744
Reactions total
41
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:07 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
1m 49s
Average length
1m 49s
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
277 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 24.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
67
24.2%
🔥
58
20.9%
custom 5411580731929411768
48
17.3%
❤
40
14.4%
🤝
17
6.14%
🐳
12
4.33%
💯
11
3.97%
⚡
7
2.53%
🤔
7
2.53%
custom 5445284980978621387
6
2.17%
🤡
2
0.722%
👎
1
0.361%
🙏
1
0.361%
Custom emoji. 2 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 20 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 277reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 June 2026 to 2 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
10
across the posts below
Posts paid on
6
of 18 we hold a reading for · 33%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @entropians. 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 20 most recent posts we hold for this entry, published 8 June 2026 to 2 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.
Модели коллапса GRW, CSL и DP.
Сегодня я расскажу вам о трех наиболее известных моделях объективного коллапса.
1. Модель GRW, названа по фамилиям авторов Ghirardi–Rimini–Weber, 1986 год. Гипотеза в том, что каждая элементарная частица примерно раз в 10¹⁶ секунд (~3×10⁸ лет) испытывает спонтанный коллапс своей волновой функции. Для квантовых экспериментов с одной элементарной частицей это не наблюдаемо. А вот макрос…
Объективный коллапс.
Увлекла меня эта тема, и я написал аж три научные статьи про объективный коллапс в квантовой механике. Но для начала давайте расскажу что это за коллапс такой, и зачем он нужен.
Квантовая механика (КМ) полна контеринтуитивных чудес: нелокальность квантовой запутанности, «ретропричинность» квантового ластика и т.д. Взаимодействие квантовой частицы с измерительным прибором (декогеренция) приводит…
Сколько нужно энтропиан, чтобы изменить мир?
Может показаться, что нужны миллионы. Но большинство людей плывут по течению. Задают же тренды единицы, иногда достаточно всего одного бунтаря.
Давайте обратимся к современным примерам. PayPal мафия — около 30 человек — определяет технологическую повестку. Крупнейшие портфельные управляющие — порядка 100 человек — направляют мировые финансовые потоки.
Думаю, что достато…
Миссия энтропиан.
В чем наша уникальная миссия? Построить сферу Дайсона — да, но её и так построят. Установить единое планетарное правительство и превратить Землю в заповедник — да, но это лишь один из наших проектов. Победить в галактической войне будущего — да, но она будет ещё только через 1500 лет. Что же мы должны сделать такого важного уже сейчас?
Ответ: не сойти с критического пути эволюции. Для этого нужно …
Ставка, а не вера.
Большинство религий базируются на вере. Энтропианство — это тоже религия, но полностью научная, поэтому слепая вера нам не подходит, она не совместима с научным взглядом на мир, который подразумевает сомнение и критическое мышление.
Наука всегда сомневается, и по многим вопросам разные теории дают противоположные предсказания, которые мы пока не можем проверить. Это называется научной неопределен…
Страх темного леса.
Энтропианство — это акселерационизм, наша стратегия — ускорять развитие, строить рой Дайсона, становиться громкой цивилизацией. А есть ли риск в таком поведении? Да, есть, при условии верности гипотезы темного леса.
Если в нашей галактике существуют существенно более развитая цивилизация, то заметив нас, она сможет послать к нам лучи добра, которые уничтожат жизнь на Земле. Сценарий «Задачи трех…
Как обнаружить инопланетян?
Из оценок количества цивилизаций в моей статье следует, что уже сейчас мы можем наблюдать около 5 цивилизаций Типа 1 на расстоянии 600~2000 световых лет. Но как их увидеть?
На таком расстоянии различить землеподобную планету пока не получится, так как нужно угловое разрешение коронографа лучше 5 mas (миллисекунд дуги) — не хватает 1 порядок, и контраст 10¹⁰ — не хватает 3 порядка. Но ест…
Критический путь эволюции и синхронизация жизни.
Наконец-то закончил статью, получилось фундаментально! Английский препринт по ссылке (https://zenodo.org/records/21008110), а сюда прикладываю русскую версию. Очень нужна ваша помощь с распространением в научной среде. Основная идея следующая 👇
В эволюции нет трудных/редких шагов (эта гипотеза Картера не доказана). Современные исследования открывают всё новые способы…
Количество пригодных для жизни планет.
Сколько их в нашей галактике? Это количество определяется первыми тремя множителями в уравнении Дрейка. Диапазон возможных значений огромен: абсолютный максимум — триллион — общее количество планет в нашей галактике, минимум — одна — только наша Земля (гипотеза редкой Земли). Оба значения экстремальны, ну а правда должна лежать где-то посередине.
В статье 2024 года (Eta-Earth …
Личное vs Общественное.
Это известная социальная дихотомия. Своя рубашка ближе к телу, но один в поле не воин. Где же правда?
Я много думал на эту тему и пришел к выводу, что не нужно жертвовать личным ради общественного, это легитимизирует насилие. Коллективизация (землю — крестьянам, фабрики — рабочим) работает плохо, большевики это доказали на практике.
Вместо этого нужно общественное сделать личным. Страна бол…
💯11👍5🔥4🐳1
Showing the 12 most recent of 20 posts we hold for @entropians. 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 — 737,289 of 1,169,250entries 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.
Mentions
Named by 2 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Энтропианство” (@entropians), 3,560 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/entropians.
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.
