Channel
@mustreads
On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Referenced elsewhere · Cite this entry
45,361subscribers
-79 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001010812972 |
|---|---|
| Type | Channel |
| Username | @mustreads |
| Description | Рациональность, тренды общества, лучшие книги и статьи Моя биография и ссылки на основные проекты: t.me/mustreads/4337 Мой Ютюб: YouTube.com/@bookchel Мой Инст: Instagram.com/mustreader Реклама: @darina_ranadi РКН: clck.ru/3G5tWQ |
| Created | 3 February 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/mustreads |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 23:35 | 45,361 | -18 |
| 11 Aug 2026, 23:06 | 45,379 | -14 |
| 10 Aug 2026, 04:11 | 45,393 | -14 |
| 7 Aug 2026, 23:07 | 45,407 | -12 |
| 6 Aug 2026, 19:52 | 45,419 | -21 |
| 6 Aug 2026, 01:47 | 45,440 | no change |
| 5 Aug 2026, 22:06 | 45,440 | first reading |
23 posts held, back to 18 May 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 18 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 23 (18 May 2026 – 12 August 2026) |
| Views total | 60,060 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 08:37 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.
Lifetime counters from Telegram’s own channel header, read 13 August 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.
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.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| CQH36pWzJqVG6LEWCjqoWcexLnrdesBeEwNnc9kUFNDRN2 | 1 | 5 August 2026 | 5 August 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 23 most recent posts we hold, published 18 May 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.
Чем больше у меня информации, тем легче мне принимать решения и понимать себя. Всё благодаря одной привычке: я пользуюсь любой возможностью узнать что-то о себе. Подкасты с самыми разными гостями (включая тех, с кем я не согласен), психотерапия, жизненные челленджи типа переезда в другую страну, медицинские тесты — все эти инструменты использую регулярно. Поэтому несколько лет назад я и решил пройти ДНК-тест. Я ожи…
ИИ уже сейчас знает о вас больше, чем жена, лучший друг и психолог. Можно ли оцифровать человеческую психику и создать свою «цифровую душу»? И главный вопрос: кому она будет принадлежать? Говорим об этом с Андреем Кисловым — нейроученым и CEO стартапа Synthius AI, который создает память для ИИ по принципам работы человеческого мозга. А еще разбираемся, какому ИИ опаснее всего доверять свои секреты, как нейросеть уч…
Сегодня мне исполнилось 33. Немного о том, насколько я одержим шахматами: решил участвовать в чемпионате Алматы несмотря на то, что его последний игровой день пришелся на мой ДР. В итоге сегодня 8 часов провёл за доской в напряженных интеллектуальных баталиях и только в десятом часу вечера вернулся домой. Выступил неплохо: 6.5 очков из 9, разделил 4-14 места, по доп. показателям стал восьмым (видимо, получаю призовы…
Возможно, когда-нибудь я напишу мастрид о том, как в эмиграции организовать свадьбу на почти 100 человек в стилистике дореволюционной России. Но пока что оцените фото!
За последние пару лет я начал с помощью нейронок выполнять в разы больше задач. Вместо одного ютюб-канала у меня теперь три (плюс один – на китайском ютюбе, BiliBili), при этом людей в команде больше не стало. Китайский ютюб я вообще веду в одиночку: в одну нейронку закидываю свои англоязычные ролики на транскрипт, потом другая нейронка делает перевод на китайский и “вшивает” субтитры, третья – переводит и адаптирует…
Исторический момент (по крайней мере, для меня): поменял название своего самого крупного YouTube-канала "Книжный чел" на "Мастридер". Переименование назрело давно. У большинства людей возникал рассинхрон, когда они видели название "Книжный чел", но получали контент далеко не только про литературу. В 2018 году, когда я запустил свой ютюб, "КЧ" было идеальным названием — тогда на канале выходило только одноименное шо…
Этот выпуск поможет вам сэкономить десятки часов! Кирилл Пшинник уже несколько лет строит работу своей компании «Зерокодер» вокруг ИИ. Нейросети у него проводят исследования, создают презентации, анализируют данные, помогают принимать решения и берут на себя всё больше задач. Обязательно посмотрите наш с Кириллом подкаст про использование нейронок в работе и в развитии бизнеса: https://www.youtube.com/watch?v=dTblD…
Я женился!!! Принимаю поздравления :) https://www.instagram.com/p/DbIrgvBCEps/
Может ли ваш iPhone анализировать каждое сообщение без ведома даже сотрудников Apple? Почему нейронки могут уже в ближайшие годы привести к полному отмиранию приватности как явления и что с этим делать? У меня в гостях снова Андрей Володин — технологический визионер, предприниматель, сооснователь Gracia AI и «НетМонет». Говорим о цифровой слежке, автономных ИИ-агентах, софте, который каждый сможет создавать под себя…
Как обучить ИИ на основе медитаций настоящих буддийских монахов? Как подготовиться к сингулярности и есть ли у человечества шанс на счастливую жизнь в будущем? Как достичь восьмого уровня медитации и при этом не утратить научно обусловленный взгляд на мир? У меня в гостях — исследователь нейросетей и прикладной математик Тамаз Гадаев. Он исследует нейронки уже больше 10 лет, занимался оцифровкой мозговой активности …
Я редко залипаю в вертикальный видеоконтент (по крайней мере, борюсь с этой зависимостью), но иногда смотрю замечательное рилз-шоу Subway Takes. Его формат прост до гениальности: ведущий просит своих собеседников озвучить один "хот-тейк" (высказывание, с которым многие могут не согласиться). А потом либо соглашается, либо спорит с гостем. Всё это происходит в нью-йоркском метро. Подумал, что было бы забавно сделать …
Бывший коммерческий директор Aviasales, а ныне — основатель своего B2B-outreach агентства Антон Гладков за несколько месяцев стал настоящей иконой вайбкодинга. В его агентстве раньше было 80+ человек, а сейчас осталось двое. Всех остальных заменили ИИ-агенты и системы, которые навайбкодил Антон. Причём он гуманитарий и раньше не писал ни строчки кода. Задал Антону все скептические вопросы, получилась мощная беседа!…
Showing the 12 most recent of 23 posts we hold for @mustreads. 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.
Citation-graph rank — 54,723 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 17 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Мастриды” (@mustreads), 45,361 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mustreads.
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.