3 measurements spanning 7 days, net +1. 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 448–449 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 09:15
449
+1
8 Aug 2026, 05:03
448
no change
7 Aug 2026, 16:29
448
first reading
Engagement
15 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.0%
avg views ÷ 449 subscribers
Avg views / post
121
12 posts measured
Reaction rate
9.90%
reactions ÷ views · ER floor
Posts in window
12
of 15 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 7 August 2026
Posts held
15 (10 July 2026 – 7 August 2026)
Views total
1,454
Reactions total
144
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:03 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.
Reaction mix
205 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 39.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
80
39.0%
❤
50
24.4%
👍
39
19.0%
😁
14
6.83%
custom 5458471711693362291
8
3.90%
custom 5456306562844874502
6
2.93%
🤣
4
1.95%
💯
2
0.976%
🤔
2
0.976%
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 15 of the 15 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 205reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 10 July 2026 to 7 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
5
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @M3ybeev. 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 15 most recent posts we hold for this entry, published 10 July 2026 to 7 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.
В общем. Возвращаемся из очередного путешествия и решил прямо в поезде записать несколько выводов на будущее.
Не знаю, когда в итоге опубликуется этот пост, но пока впечатления свежие пишу.
Сразу оговорюсь. Я не заядлый путешественник и никаких тайных знаний у меня нет. Просто мы довольно много ездим куда-то. Обычно втроём - я, жена и ребёнок. Иногда вдвоём бывает. Спасибо бабушкам и дедушкам.
В этот раз путешест…
Всем тем кто заказывал что-либо в интернете посвящается.
https://music.yandex.ru/album/41213383/track/149406766?utm_medium=copy_link&ref_id=89f2a0cc-5e4c-41cd-b92e-217604faf76b
#хиханькихаханьки
@M3ybeev
241. Учёные доказали, что нужно съедать по две котлеты в день
Нет, не доказали. Я придумал.
Но звучит вполне убедительно. Особенно если добавить, что исследование проводили несколько лет, учёные наблюдали за тысячей человек, а результаты недавно опубликовали в каком-нибудь уважаемом журнале.
❗️ Через некоторое время появятся рекомендации по размеру котлет, калькулятор суточной нормы и эксперты, которые объяснят, п…
241. Запретите им уже эту кнопку!
Смотрите, какой прекрасный кейс!
🔤 одной компании сотрудники так активно редактировали уже отправленные сообщения в месседжере Битрикс24, что в итоге пришлось делать отдельный модуль, который это запрещает. Красота!
Причём речь далеко не про запятую поправить...
Написал одно. Потом подумал. Вернулся и написал уже немного другое. А иногда, судя по всему, совсем другое. А лайк то у…
240. Купить сотрудникам ИИ
Сейчас про внедрение ИИ говорят буквально из каждого утюга. Практически каждая компания хочет срочно что-нибудь внедрить. Что именно, куда и зачем - это пока не очень понятно. Но оно вот прям надо, потому что у конкурентов уже наверняка есть нейросеть, которая работает круглосуточно, не просит премию и, возможно, даже проводит планёрки.
А само внедрение чаще всего выглядит примерно так:
…
239. Мы не первые, кто это придумал
Я довольно часто говорю клиентам, что готовых решений именно под них не существует. Не, я не особо люблю изобретать велосипеды. Просто готовое решение почти всегда оказывается готовым для кого-то другого.
🤘 И почти каждый раз я слышу один и тот же вполне логичный ответ. Мол, мы же не первые, кто продаёт оборудование. Не первые, кто принимает заказы через интернет, работает с диле…
238. А я опять про удаленку.
Я уже достаточно давно работаю на удалёнке и обратно в офис не хочу вообще.
Мне нравится не тратить время на дорогу, самому собирать свой день и работать там, где мне удобно. Поэтому очередные рассуждения о том, что удалёнка разрушает команды, я обычно воспринимаю достаточно скептически.
❗️ Но тут попалось интересное исследование Питера Каппелли и Жасмин Ву.
В конце 2023 года авторы п…
Есть особый вид рабочих задач... "Там буквально на пять минут"
Обычно она появляется в пятницу вечером.
Пять минут уходит на то, чтобы решиться и открыть сообщение. Ещё десять, чтоб понять, что вообще требуется. Потом выясняется, что нужен доступ, уточнение от коллег и файл, который точно где-то был, но уже никто не может сказать где.
В целом, задачка действительно может быть на пять минут. Просто не уточняется, в…
Мне нужны люди.
Точнее начинающие руководители проектов и настройщики Битрикс24, которые хотят постепенно перейти от "мне поставили задачу, и ее я сделал" к управлению проектом целиком.
Клиентов у нас становится больше. Проекты все интереснее. При этом я не хочу просто набрать кого-нибудь, раздать всем по проекту и посмотреть кто выживет.
За последние годы мы собрали отличную систему. Есть обучение, база знаний, ш…
237. BPMN 2.0: когда в процессе слишком много "если"
Есть момент, когда обычная блок-схема перестаёт помогать. Чаще всего это происходит "в процессе"
Сначала всё выглядит прилично и четко.
Получили заявку ➡️ проверили данные ➡️ подготовили договор ➡️ согласовали ➡️ подписали. Ляпота.
А потом выясняется, что...
Сам договор проверяет юрист.
Сумму договора смотрит финдир отдельно от юриста.
Иногда они делают это па…
Showing the 12 most recent of 15 posts we hold for @M3ybeev. 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 — 788,253 of 1,480,688entries 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 1 registered channel — 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“М3 | Проекты. Мысли. Гуакомоле” (@M3ybeev), 449 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/M3ybeev.
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.
