Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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 the other topics.
Growth
64 measurements spanning 97 days, net +4,700. 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 33,504–39,625 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
11 Nov 2026, 11:36
38,919
+56
9 Nov 2026, 17:06
38,863
+71
8 Nov 2026, 11:20
38,792
+132
7 Nov 2026, 05:35
38,660
+149
6 Nov 2026, 02:57
38,511
-3
5 Nov 2026, 05:17
38,514
+58
4 Nov 2026, 03:20
38,456
-39
3 Nov 2026, 00:45
38,495
-19
2 Nov 2026, 01:31
38,514
-27
1 Nov 2026, 04:27
38,541
+7
31 Oct 2026, 04:31
38,534
-5
30 Oct 2026, 05:36
38,539
-3
29 Oct 2026, 07:47
38,542
-10
28 Oct 2026, 08:36
38,552
+11
26 Oct 2026, 09:58
38,541
+21
25 Oct 2026, 12:35
38,520
-23
24 Oct 2026, 11:46
38,543
-23
22 Oct 2026, 09:07
38,566
-6
21 Oct 2026, 04:37
38,572
-14
20 Oct 2026, 00:01
38,586
first reading
Engagement
225 posts held, back to 31 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 183 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.1%
avg views ÷ 38,919 subscribers
Avg views / post
4,330
42 posts measured
Reaction rate
2.38%
reactions ÷ views · ER floor
Posts in window
42
of 225 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 11 November 2026
Posts held
225 (31 July 2026 – 11 November 2026)
Views total
181,983
Reactions total
4,333
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 10:29 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.
Reaction mix
19,168 reactions across 225 posts, in 29 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,148
42.5%
🔥
5,712
29.8%
👍
1,465
7.64%
❤🔥
1,147
5.98%
😁
582
3.04%
🤣
445
2.32%
💯
379
1.98%
⚡
201
1.05%
🙏
200
1.04%
👏
186
0.97%
custom 5309941438971132144
143
0.746%
😍
115
0.6%
🥰
106
0.553%
🤩
77
0.402%
👀
59
0.308%
🤝
40
0.209%
🎉
39
0.203%
🙈
31
0.162%
💔
21
0.11%
🤔
21
0.11%
9 further kinds
51
0.266%
Custom emoji. One row above is a 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 count beside it is Telegram’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 225 of the 225 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 19,168 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 225 most recent posts we hold, published 31 July 2026 to 11 November 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
517
across the posts below
Posts paid on
114
of 225 we hold a reading for · 51%
Most on one post
16
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @potok_gitelman. 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 225 most recent posts we hold for this entry, published 31 July 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 10 of 42 posts held from the last 30 days (23.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Оставлю тут 6 строк для напоминания
Страх заменяет эксперимент
Контроль заменяет доверие
Сомнение заменяет решение
Лень заменяет интерес
Злость заменяет ясность
Зависть заменяет радость
Теперь главное:
прочитай справа налево
выбери, какая сторона у тебя
За один год они выросли в 10–12 раз
Было около 200 сделок в год
Стало 300–500 машин в месяц
Это Станислав Ким, основатель лизинговой компании Fincom.
Первое место на рынке автолизинга в Узбекистане.
Как он сам говорит, пока относишься к каждой продаже как к сделке, такой объём не вывезти. В выпуске он рассказал, как они изменили свой подход.
А теперь за 4 года до этого
Из 22 человек в команде осталось четверо-п…
Приехал в гости к человеку, который вот это все строит
В его ведомстве 26 тысяч компаний 🥹
100 000+ человек живет в районе, который он построил в Дубаи
Встреча на Английском
Мой уровень языка: «лэт ми спик фром май харт»
Страшно?
Да…
Объясняю себе: главно пробовать совершать шаги 🙈
Поддержите плз…
Инструкция для проведения семейной стратсессии
На днях с Таней пересматривали результаты нашей стратссии. Как же было ценно, что мы ее провели
Если хотите провести для себя,
оставляю наш гайд здесь:
https://t.me/PotokGitelmanabot?start=familystrat
Мы с Гульбану уже снимали супер насыщенный выпуск на YouTube,
а сегодня про ее опыт вышла новая статья в Gitelman Journal
Спешу с вами поделиться
Гульбану, основательница сети ресторанов быстрого питания Lanzhou, рассказывает, кому нужны строгие стандарты, а кому свобода.
И как не потерять сильных руководителей.
Читайте статью здесь: https://journal.gitelman.team/maygarina-vypusk-15
Классной пятницы!
Вчера обедал с участником тренинга
Он построил в своем регионе #1 компанию и сегодня строит здания в Канаде, США, Дубаи
Границ в голове нет совсем.
Возможно все.
Быстро действует.
Быстро принимает решения.
Тотально ответственный.
Ощущение, что у человека всегда нажата педаль газа.
При этом мозги смотря наперед.
Ясно видит дорогу.
Видит рынки.
Просчитывает сценарии.
Все на высокой скорости.
Сделки на десятки милли…
Главная идея тренинга «Команда»:
Управляй через вопросы,
а не ответы.
Я чувствую, что очень много людей на работе несчастливы, занимаются нелюбимым делом и еще приносят убытки своим компаниям.
У меня есть внутренняя цель:
помочь произвести миллион счастливых и прибыльных сотрудников для людей, которые приходят на наш тренинг.
Работа с командой - это не врождённый талант, а навык.
И он тренируется.
Важно перестать…
Аааа!!! Наконец нашел тренера по Падел в Дубаи с кем классно заниматься
У меня было 70+ тренировок с 10+ тренерами
И конечно это давало свой эффект
Но здесь каждый раз идет рост
1 занятие с ним по эффективности как 10-15 у других
Техника
Ошибки
Детали
Главный навыки тренера это
- методологическое мышление
1. Умение расщеплять навык на элементы
2. Умение диагностировать персональные ошибки в этих элементах
3. …
Город засыпает, мафия просыпается
Все же играли в мафию? Не то чтобы я любитель настолок, но механика там ровно как на собеседовании
Побеждает не самый мирный
Побеждает тот, кто убедительнее говорит, что он мирный
И вот ты сидишь на собеседовании с управленцем
Все идет прекрасно! Он уверен, оптимистичен, делал как раз все то, что тебе нужно.
Выходишь с мыслью:
«ну наконец-то нашли»
А через три месяца смотришь н…
❤13🔥11🙏5❤🔥3💯3👍2
Showing the 12 most recent of 225 posts we hold for @potok_gitelman. 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.
Posts edited after publishing
@potok_gitelman edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
11 September 2026
Most recent edit
1 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @potok_gitelman as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
21 August 2026
Most recent seen missing
16 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Вспомните руководителя, который в итоге не справился.
Что вы заметили раньше всего? Самый первый сигнал Отвечайте, если такой опыт был.
Стал медленнее принимать решения10%
Приносил вопросы вместо решений18%
В его отсутствие все вставало8%
Говорил «понял»/«сделаю», но ничего не менялось39%
Провалились цифры15%
Другое, напишу в комментариях3%
Такого опыта не было, просто смотрю результаты36%
The shares total 129%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Вопрос к предпринимателям.
А сколько часов в неделю у вас уходит на задачи, которые на ваш взгляд должна делать команда?
Почти не уходит18%
До 5 часов23%
5-10 часов18%
10-20 часов16%
20-30 часов9%
Больше 30 часов16%
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 225 most recent posts we hold, published 31 July 2026 to 11 November 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.
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 8 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Оскар Хартманн @Oskar_Hartmann · 93,823 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 16 August 2026
Маргулан Сейсембай @MargulanSeissembai · 206,808 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 11 August 2026
Нечто | Сообщество предпринимателей @nechto_community · 23,054 Telegram ranks this channel #8 of 89 here — alongside 88 others — read 18 September 2026
Я — предприниматель @dashkievpro · 22,125 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 24 September 2026
Роман Тарасенко @romarketing · 22,335 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 20 September 2026
Алeксандр Орлов @alexandroorlov · 19,108 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 3 October 2026
Артем Кей @artemmkey · 30,999 Telegram ranks this channel #15 of 84 here — alongside 83 others — read 6 September 2026
Club 500 @journal500 · 19,428 Telegram ranks this channel #16 of 86 here — alongside 85 others — read 30 September 2026
Sokolovskiy @sokolay · 109,423 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 14 August 2026
Герман Гаврилов @german_gavrilov · 18,587 Telegram ranks this channel #21 of 97 here — alongside 96 others — read 5 October 2026
Oleg Torbosov @TorbosovLife · 106,637 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 15 August 2026
Михаил Гребенюк @grebenukm · 251,213 Telegram ranks this channel #34 of 95 here — alongside 94 others — read 10 August 2026
Михаил Дашкиев @mikhaildashkiev · 44,771 Telegram ranks this channel #36 of 92 here — alongside 91 others — read 28 August 2026
Пётр Осипов | записки о развитии @petrosipovprivate · 48,028 Telegram ranks this channel #70 of 84 here — alongside 83 others — read 26 August 2026
Александр Высоцкий @alexander_visotsky · 36,730 Telegram ranks this channel #85 of 95 here — alongside 94 others — read 1 September 2026
Максим Батырев @Maxim_Batyrev · 20,702 Telegram ranks this channel #91 of 94 here — alongside 93 others — read 26 September 2026
This channel appears in 16 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Павел Гительман” (@potok_gitelman), 38,919 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/potok_gitelman.
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.