3 measurements spanning 8 days, net +2. 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 204–206 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 06:57
206
+2
8 Aug 2026, 11:19
204
no change
8 Aug 2026, 07:17
204
first reading
Engagement
20 posts held, back to 12 March 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
39.8%
avg views ÷ 206 subscribers
Avg views / post
82.0
1 post measured
Reaction rate
25.6%
reactions ÷ views · ER floor
Posts in window
1
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 23 July 2026
Posts held
20 (12 March 2026 – 23 July 2026)
Views total
82
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 11:19 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
33s
Average length
33s
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
480 reactions across 19 posts, in 29 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
109
22.7%
🔥
82
17.1%
👍
71
14.8%
custom 5350440403592049526
58
12.1%
custom 5235807206770750407
31
6.46%
🤩
24
5.00%
custom 5296713120088072147
16
3.33%
🤝
13
2.71%
custom 5296522552389147611
11
2.29%
🌚
11
2.29%
🥰
9
1.88%
👻
8
1.67%
custom 5235810861787917997
5
1.04%
custom 5294422098633040952
5
1.04%
✍
4
0.833%
🎉
3
0.625%
😎
3
0.625%
🤣
3
0.625%
custom 5235624876819098821
2
0.417%
⚡
2
0.417%
9 further kinds
10
2.08%
Custom emoji. 7 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 19 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 480reactions 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 12 March 2026 to 23 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
7
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @shkolaslovaonline. 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 12 March 2026 to 23 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.
Кому не подходит сократический диалог?
Побеседовали с Тихоном и Леонидом про внутрянку сократического диалога.
Обсудили, кому этот метод будет полезен, а кому нет. И что нужно, чтобы выжать максимум пользы, если собрался участвовать в философской работе.
Разобрали вопрос, который задают очень часто:
"Можно ли просто наблюдать за семинаром, не участвуя в диалоге напрямую?".
Отдельно говорили про игровой и серьёзный…
Надеюсь, все посмотрели уже видео, которое я прикреплял в предыдущем посте?🤨
В этот раз готовим новое видео с разбором другого интервью от Ивана
Пока вот такой маленький фрагмент вам для привлечения внимания
Что нужно сделать, чтобы записать обзор на философское интервью Ивана Спирина? Правильно, уехать в другую страну и там побеседовать с Семёном Малышкиным
Если Семён не идёт к сократическому диалогу, то диалог идёт к Семёну☝🏻
Пока я прописываю все ссылки для готовящегося видео по своему методу, мой Тихон мой коллега практический философ Тихон Спирин выкатил свой мощный разбор.
Центром внимания является одно из проведённых мною философских интервью. Площадку проведения предоставил проект Интеллектуальные среды Москвы, частью которого я являюсь.
Так что, смотрите, дру…
Концепция изменилась🤣
Вообще, когда я только подумывал о создании своего проекта, я думал над тем, что же должно быть основным в нём?
Три года назад я думал о курсе по писательству для студентов и копирайтеров.
Но появление ИИ изменило эту сферу, да и редко кто реально хочет научиться. Чаще люди хотят просто отдать эту обязанность на аутсорс.
Потом, когда я уже начал реализовывать план, я согласился остановить вни…
Позапрошлым летом я был в Грузии🇬🇪
Однажды вечером, когда мы искали место для ужина, мой друг заговорил с местными в небольшом кафе.
Разговорились. Они позвали всех нас за свой стол.
Застолье у грузин устроено иначе, чем мы привыкли. Это не просто ужин, а целый ритуал: тамада, очередь тостов, паузы после каждого тоста. Каждое слово имеет вес.
Я с этим знаком, тосты говорить умею. Нашёл, что сказать, к чему подвест…
«Ну... как вам сказать»
Недавно зазвонил домофон.
Спрашиваю: «Кто?»
В ответ молодой голос: «Ну... как вам сказать...»
Подождал. Полминуты. Потом минуту.
Человек продолжал мяться.
Бросил трубку.
Потом подумал: а ведь я был готов открыть. Серьёзно. Мне не нужно было ничего особенного, просто внятный ответ. Имя. Причина. Одно предложение.
Но его не было.
И вот что интересно☝🏻
Мы часто думаем, что молчим и мнёмся …
«Я бы рассказал об этом лучше»🫠
После одного выступления на конференции ко мне подошёл человек из зала.
«Слушай, интересно. Но я бы мог рассказать об этом лучше, у меня опыта больше».
Я не обиделся. Может, и правда мог бы.
Спрашиваю:
- А ты выступаешь?
- Нет. Жду подходящего момента.
Мы немного поговорили. Выяснилось, что подходящего момента он ждёт уже три года.
За три года накопил ещё больше опыта. И ещё боль…
Попутчик из поезда☠️
Вчера ехал в поезде. И, как обычно, в вагоне нашёлся болтливый человек.
Его начало прорывать, как только поезд тронулся. Сначала он рассказывал про соседей, потом про правительство, потом про масонов, потом (почему-то) про НЛО над Архангельском в 94-м. Всё это было одним потоком, без пауз и без какой-либо связи между частями. Просто слова, которые искали выход.
Люди рядом кивали. Не потому что…
Курс для тех, кто хочет выступать так, чтобы его не просто терпели, а слушали💪
Запускаю курс по подготовке публичного выступления "От мысли к речи"
Для экспертов, консультантов, наставников, преподавателей, блогеров, спикеров и авторов образовательных продуктов.
Для тех, кто не хочет выходить к людям и устраивать им классическую пытку лекцией:
слайды есть,
термины есть,
опыт есть,
голос вроде уверенный,
а люди си…
Чек-лист лектора "с человеческим лицом"
Если Вы пытаетесь выступать перед аудиторией, которая знает, что такое "лекция", то Вы должны быть готовы к выпадению аудитории.
Ведь что значит "лекция" на языке слушателя? Это значит час-полтора потраченного времени жизни. Особенно если лектор скучный, монотонный, говорящий "для себя". Школы и вузы "учат" ненавидеть лекции, а к лекторам за их стенами прививают отторжение.
Н…
Почему люди не понимают, что ты говоришь?
Вопрос из разряда болезненных:
«Почему я объясняю, объясняю, а люди всё равно не понимают?»
Смотри. Есть неприятная штука.
Знать тему и уметь ее донести - разные навыки.
Эксперт часто думает:
«Ну я же разбираюсь. Значит, смогу объяснить».
А потом выходит в эфир, на вебинар, на занятие или просто на созвон. И начинается:
«Тут надо понимать контекст...»
«Вообще это компле…
❤12🤩2🤝1
Showing the 12 most recent of 20 posts we hold for @shkolaslovaonline. 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.
Shares as published. 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 12 March 2026 to 23 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 — 851,307 of 1,550,164entries 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
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.
Mentions
Named by 4 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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Школа Слова | Малышкин Семен” (@shkolaslovaonline), 206 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/shkolaslovaonline.
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.
