3 measurements spanning 9 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 688–689 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 09:46
689
+1
6 Aug 2026, 16:38
688
no change
5 Aug 2026, 21:24
688
first reading
Engagement
20 posts held, back to 22 January 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
22.1%
avg views ÷ 689 subscribers
Avg views / post
152
3 posts measured
Reaction rate
7.66%
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 30 July 2026
Posts held
20 (22 January 2026 – 30 July 2026)
Views total
457
Reactions total
35
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 16:38 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
361 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 33.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
120
33.2%
❤
87
24.1%
👍
76
21.1%
🦄
42
11.6%
💯
33
9.14%
😁
3
0.831%
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 20 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 361reactions 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 22 January 2026 to 30 July 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
4
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @leonid_lapidus. 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 22 January 2026 to 30 July 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.
Бриф проблемы
Сформулировать проблему — лишь малая часть успеха на пути к решению.
Чтобы найти хорошее рабочее решение, нужно понять детали, контекст.
Именно поэтому нужен Бриф проблемы — артефакт, который сводит разрозненные факты в связную картину.
Многие команды прыгают от формулировки проблемы сразу к решению. В результате они лечат симптомы, повторяют старые ошибки, сталкиваются с неожиданными препятствиями. …
Три вывода для тех, кто принимает решения
1. Каждое локальное решение — это архитектурный выбор. Вы не видите цепочку, но вы её создаете. Каждое локальное решение накладывает ограничения на будущее (ну и открывает возможности).
2. Система побеждает героя. Король-гений выигрывает битву, но войны выигрывают институты. Создавайте культуру: процессы, гарантии, сдержки — не культ личности. Масштабируется система, а не г…
Новые слова
Прошлые посты про стратегию были сильно сложные, так что давайте отдохнём.
Выдыхаем, убираем в сторону стратегии и споры, наливаем чай.
Те из вас, кто знает меня достаточно близко, слышали, что я нежно и глубоко люблю лингвистику (во всех смыслах).
Нашёл классный ресурс Института лингвистических исследований РАН: "Новое в русской лексике".
Это настоящая машина времени!
Смотришь на слово и узнаёшь, ког…
Типы стратегий
Я видел сотни документов (и цветных схемок), которые компании и "эксперты" выдают за стратегию.
Все их можно разделить на два больших кластера: те, что сфокусированы на результате, и те, что сфокусированы на решениях. В кластере "Решения" есть два типа: план действий и модель поведения.
Тип 1. Стратегия-Цель (кластер "Результат")
Объект: конечные метрики
Суть: описывает, чего мы хотим достичь (выру…
Реестр принципов
Принципы, которые не зафиксированы, со временем забываются, размываются или трактуются каждым сотрудником по-своему.
Фиксация принципов помогает упорядочить хаос, ускорить онбординг новых сотрудников (менеджеров в первую очередь) и, главное, объективно разрешать споры.
Самый простой и рабочий инструмент фиксации — реестр принципов.
Достаточно одной страницы в корпоративной базе знаний.
В самом п…
Принципы стратегии
Вопрос из лички: "Ты несколько раз писал, что стратегия это принципы. Покажи примеры"
В комментариях-обсуждениях постов есть примеры, но здесь хочу систематизировать принципы.
Покажу их классификацию и приведу примеры.
Принципы бывают следующих типов
1. Ограничивающие
Запрещает определённое действие. Отсекают возможности, которые кажутся выгодными, но уводят компанию от фокуса. Это защита от р…
Стратегия ≠ План
Выдавать детализированный план за стратегию — грубая ошибка.
Разберём, чем стратегия не является, в чём разница стратегии и плана, и как легко разделить эти понятия.
Стратегия — это не презентация.
Не многостраничный документ.
Не красивая разноцветная схема.
Не план действий.
Даже если в этом плане есть цели, метрики, "субъекты", гипотезы и задачи — это не стратегия.
Стратегия — это архитектура в…
Принятие изменений
Скорость принятия изменений — это функция трёх переменных: технологической готовности, экономической целесообразности переключения и социально-институциональной инерции.
Кейс рентгеновского излучения
От открытия до массового применения прошло менее года.
Факторы ускорения:
- Низкий порог входа: аппаратура была относительно дешевой и не требовала перестройки больничной инфраструктуры.
- Очевиднос…
Настройки мышления
Много копий сломано о тему того, каким должен быть стратег, продакт, системный инженер (это всё - один человек).
Я недавно нашёл настройки мышления, которые помогают работать эффективно.
1. Толерантность к хаосу
Ничего не понятно, нет стройной системы, у всех противоположные интересы. Но человек не боится войти в эту "горящую комнату".
2. Мышление системами
Объекты-субъекты, связи и механизмы.…
Будущее в прошлом
В английском языке есть такое виртуальное грамматическое время: Prophetic Perfect Tense. Пророческое Совершенное время.
Употребляется при описании будущих событий (прогнозы, предсказания, пророчества).
При этом степень уверенности говорящего в том, что событие произойдёт столь велика, что он говорит о событии, как об уже свершившемся факте.
Так будто описывает его из далёкого будущего, когда собы…
Стратег — система, структура, масштаб и дальний горизонт19%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🦄3🔥1
Signed Leonid Lapidus
Showing the 12 most recent of 20 posts we hold for @leonid_lapidus. 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.
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.
Стратег — система, структура, масштаб и дальний горизонт19%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 22 January 2026 to 30 July 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.
Citation-graph rank
Citation-graph rank — 810,222 of 1,340,412entries 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Lapidus” (@leonid_lapidus), 689 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/leonid_lapidus.
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.
