Technology — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 41% 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
9 measurements spanning 7 days, net -85. 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 105,582–105,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 19:53
105,597
-30
11 Aug 2026, 20:37
105,627
-12
10 Aug 2026, 18:12
105,639
+44
9 Aug 2026, 18:13
105,595
-21
8 Aug 2026, 15:16
105,616
-42
7 Aug 2026, 14:33
105,658
-16
6 Aug 2026, 12:50
105,674
-8
6 Aug 2026, 01:33
105,682
no change
5 Aug 2026, 22:45
105,682
first reading
Engagement
22 posts held, back to 4 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
22.3%
avg views ÷ 105,597 subscribers
Avg views / post
23,500
16 posts measured
Reaction rate
0.759%
reactions ÷ views · ER floor
Posts in window
16
of 22 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 12 August 2026
Posts held
22 (4 July 2026 – 12 August 2026)
Views total
376,090
Reactions total
2,855
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:29 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
18s
Average length
18s
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
3,888 reactions across 22 posts, in 9 distinct kinds. The most used accounts for 30.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,194
30.7%
❤
883
22.7%
😁
869
22.4%
🔥
294
7.56%
😢
265
6.82%
👎
187
4.81%
🌚
131
3.37%
😱
61
1.57%
🤩
4
0.103%
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 22 of the 22 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 3,888reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 4 July 2026 to 12 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
9
across the posts below
Posts paid on
6
of 22 we hold a reading for · 27%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RationalAnswer. 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 22 most recent posts we hold for this entry, published 4 July 2026 to 12 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.
Advertising
Ad load
9.09%
2 of 22 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
23,600
over 2 measured posts
Median views · rest
25,100
over 20 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.
Measured over the 22 most recent posts we hold, published 4 July 2026 to 12 August 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.
Слово пацана как фундамент финансово-юридической грамотности в России
Чудесная история про «бизнес под честное слово» на канале Димы Филонова, обязательно почитайте. Я точно такого же рода кулстори читал (и слышал от непосредственных участников) множество раз, TLDR там всегда примерно такой:
«Начали делать крутой стартап с лучшими друзьями, права собственности поделили поровну, юрлицо для простоты зарегистрировали …
Так, друзья, на этой неделе я в косплейно-вархаммерном отпуске (жена оказалась репентией), поэтому традиционного дайджеста в понедельник не будет — в следующий обозрим новости сразу за две недели.
Кто вдруг тоже в Астане — сегодня будет встреча с подписчиками, залетайте!
Дайджест новостей за неделю 27 июля–2 августа 2026
Раз в неделю я выпускаю обзор самых интересных новостей финансов и технологий в России и мире (одновременно в формате текста, видео и подкаста) – достаточно потратить всего 15–30 минут, чтобы быть в курсе событий.
Темы прошедшей недели:
— Тема недели: Павел объявлен этим самым
— Новости России: Суд решил, что нейронки – это несекьюрно
— Новости финансов: ФРС искоре…
Насколько точно можно заранее угадать причину своей смерти?
Выложил в закрытом клубе запись нашей встречи 30 июля, где я прочитал лекцию со своими мыслями по поводу разумного подхода к своему здоровью. Вот один из слайдов оттуда.
Мне кажется логичным подходить к большинству вещей в нашей жизни через анализ базовых вероятностей – чем выше вероятность реализации какого-либо риска, тем больше внимания ему надо уделять…
Леопольд Ашенбреннер и крах его хедж-фонда Situational Awareness
Чувак в 19 лет закончил университет, в 22 года основал без опыта свой инвестфонд, а к 24-м управлял в нем уже $45 млрд с доходностью под 250% годовых. Завидуете этому сыну маминой подруги? Так вот, в сегодняшней статье поговорим о том, как и почему он их вчера лишился, и при чем тут слово «плечи»…
Если вы не следили за этой потрясающей историей, котор…
Сакрализация целлюлозной формы знаний
В англотвиттере уже несколько дней бушует скандал: опять всплыла история про то, как ведущие AI-компании массово скупают редкие бумажные книги для обогащения своих тренировочных датасетов.
Видите ли: всё, что есть в интернете, уже нейронками многократно пережевано и переварено – а для воспитания следующих поколений умных моделей нужно больше новых вкусных данных. Кроме того, в …
В этот четверг (30 июля) в 19:00 по Мск в книжном клубе RationalAnswer будем обсуждать итоги чтения книги Outlive.
Начнем с мини-лекции от меня по теме здоровья и долголетия:
🐌 В чем, на мой взгляд, главная проблема «адекватного отношения к ЗОЖ»
🐌 Мой фреймворк подхода к здоровью: как эффективно распределять внимание между более и менее критичными вещами
🐌 Какие практические шаги можно извлечь из прочитанной книги
…
Дайджест новостей за неделю 20–26 июля 2026
Раз в неделю я выпускаю обзор самых интересных новостей финансов и технологий в России и мире (одновременно в формате текста, видео и подкаста) – достаточно потратить всего 15–30 минут, чтобы быть в курсе событий.
Тема выпуска нынче была очевидной, в комментах ее сразу отгадали. Вообще, там Игорь Котенков обещал целый лонгрид сделать на тему хулиганящей новой ИИ-модели от…
И еще в докладе ЦБ есть вот такой график, в разбивке по регионам. Сильнее всего бросается в глаза то, что в стране городе Москва «наказания за старость постройки» нет – новые дома стоят примерно столько же, сколько построенные сразу после войны.
Авторы про это пишут в ключе «вот, умели же раньше строить в столице!!». Но так как они там нигде не упоминают в модели ценообразования такой фактор, как «близость к центру …
Жилая недвижимость в России амортизируется на 0,7–1,5% в год
ЦБ РФ недавно выпустил интересный доклад, где они пытаются разобраться в нюансах ценообразования на первичное и вторичное жилье в России (спасибо Никите Костанда за наводку).
Основная идея там такая: если сравнивать цену квадратного метра между сделками с новым жильем и со вторичкой «в лоб» – то выходит, как будто бы первичка дороже аж на 46%.
Но такой г…
Дайджест новостей за неделю 13–19 июля 2026
Раз в неделю я выпускаю обзор самых интересных новостей финансов и технологий в России и мире (одновременно в формате текста, видео и подкаста) – достаточно потратить всего 15–30 минут, чтобы быть в курсе событий.
Окей, лучшая обложка дайджеста этого года just dropped. Мне кажется, если Эльвира Сахипзадовна проведет ближайшее заседание ЦБ в образе альтушки – то это очень …
Акции SpaceX закрылись вчера на уровне $124: это на 8% ниже цены IPO ($135) и на 23% ниже цены первого дня торгов ($161). Месяц назад, кстати, я напоминал про статистику о том, что медианная вышедшая на IPO компания в течение последующего года «гуляет» до уровня в половину от цены закрытия первого дня торгов…
Но я тут хотел, вообще говоря, вот что вспомнить: на волне этого IPO можно было увидеть много комментариев н…
👍96❤22👎5
Showing the 12 most recent of 22 posts we hold for @RationalAnswer. 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 — 3,753 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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
Простая экономика @prostoecon · 292,992 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 12 August 2026
Физикл | Олег Зингилевский @fiztransform · 150,703 Telegram ranks this channel #39 of 95 here — alongside 94 others — read 12 August 2026
Бескромный @dbeskromny · 155,877 Telegram ranks this channel #45 of 100 here — alongside 99 others — read 12 August 2026
Психология Маркетинга @marketpsy · 175,891 Telegram ranks this channel #62 of 98 here — alongside 97 others — read 12 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“RationalAnswer | Павел Комаровский” (@RationalAnswer), 105,597 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/RationalAnswer.
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.
