27 measurements spanning 31 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 20,652–20,730 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
5 Sept 2026, 11:17
20,694
-11
3 Sept 2026, 12:55
20,705
-9
2 Sept 2026, 07:44
20,714
-2
1 Sept 2026, 06:56
20,716
-4
31 Aug 2026, 05:35
20,720
-1
30 Aug 2026, 03:57
20,721
+9
29 Aug 2026, 02:11
20,712
-3
28 Aug 2026, 00:23
20,715
+7
26 Aug 2026, 23:25
20,708
+3
25 Aug 2026, 23:34
20,705
+1
25 Aug 2026, 02:45
20,704
-2
23 Aug 2026, 18:05
20,706
-7
22 Aug 2026, 05:06
20,713
+6
20 Aug 2026, 20:33
20,707
+25
19 Aug 2026, 21:52
20,682
+13
18 Aug 2026, 20:58
20,669
+5
17 Aug 2026, 20:24
20,664
-7
16 Aug 2026, 17:19
20,671
+10
14 Aug 2026, 23:26
20,661
-1
13 Aug 2026, 14:06
20,662
first reading
Engagement
59 posts held, back to 17 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.36%
avg views ÷ 20,694 subscribers
Avg views / post
1,730
36 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
36
of 59 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. It is computed over the 34 of 36 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
59 (17 July 2026 – 3 September 2026)
Views total
62,313
Reactions total
943
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 18:20 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
1h 01m
Average length
3m 38s
Measured directly from 17 videos 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
1,453 reactions across 52 posts, in 18 distinct kinds. The most used accounts for 44.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
647
44.5%
🔥
330
22.7%
👍
241
16.6%
👏
101
6.95%
❤🔥
44
3.03%
💯
44
3.03%
🥰
16
1.10%
🌚
6
0.413%
⚡
5
0.344%
🤔
4
0.275%
🙏
3
0.206%
🤯
3
0.206%
🏆
2
0.138%
👌
2
0.138%
😁
2
0.138%
🌭
1
0.069%
🍌
1
0.069%
🤣
1
0.069%
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 56 of the 59 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 1,494 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 17 July 2026 to 3 September 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
13
across the posts below
Posts paid on
10
of 58 we hold a reading for · 17%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Maxim_Batyrev. 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 59 most recent posts we hold for this entry, published 17 July 2026 to 3 September 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.
Advertising
Ad load
1.69%
1 of 59 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,530
over 1 measured post
Median views · rest
2,040
over 57 measured posts
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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqxQ5vgj
1
30 August 2026
30 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 59 most recent posts we hold, published 17 July 2026 to 3 September 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.
⛵️ Специальное предложение для тех, кто быстро решается
19–26 сентября собираемся в Хорватии на 10-ю Комбат-регату.
Это неделя на яхтах, где вокруг вас — предприниматели, собственники и руководители. Днём вместе выходим на гонки, распределяем роли, принимам решения и пытаемся прийти первыми. Вечером — море, Хорватия, разговоры и люди, с которыми за несколько дней успеваешь познакомиться гораздо ближе, чем в рабочем…
Вчера писал про Тима Кука, а сегодня про то, что передача поста генерального директора Apple Джону Тернусу - это один из самых интересных примеров передачи власти в большой компании за последнее время.
Меня спрашивали почему же один уходит, а другой приходит, попробую объяснить это решение и показать почему оно идеальное.
Тернус пришёл в Apple в 2001 году и работает в компании уже 25 лет. Начинал в команде продукто…
🔥В 6-м выпуске подкаста «О чем говорят в продажах» с @Ivanpolyaninov и @latiesto обсудили, почему сделки срываются ещё до разговора с клиентом, как продавать без впаривания и когда продавцу нужно вовремя остановиться.
💎Смотреть выпуск:
Ютуб👉 https://youtu.be/YtaJPlS_544?is=mWdwv2IUtDzhmVEc
ВКонтакте👉 https://vkvideo.ru/video-154787068_456240391
Дзен 👉 https://dzen.ru/video/watch/6a97d298a6d93033992567eb
#о_чем_г…
Сегодня Тим Кук уходит с поста CEO Apple.
Для меня, как для человека, который много лет работает с управленцами разных категорий и статусов, собирает истории и примеры сильных руководителей, очень важно написать, что Кук - легенда.
Про Apple часто говорят через Стива Джобса и это понятно. Джобс придумал продуктовую магию Apple, вывел на рынок iPod, iPhone, iPad и создал тот самый образ компании, за которым до сих п…
🔥 Ваши продажи — это управляемая система или ежедневный хаос и слив лидов?
Часто выручка компании не растет из-за «дыр» в воронке и отсутствия понятных стандартов.
Мы приглашаем вас 26 сентября на практический мастер-класс моих партнеров по аудиту и настройке отделов продаж Ивана Полянинова и Андрея Федерова «Эффективные продажи: практика и результат», где они переведут ваши процессы в цифры и твердые алгоритмы.
Ре…
Что важнее, образование или работа?
Больше моих видео смотрите на ютубе👉
https://youtube.com/@maxim_batyrev
И в ВК видео 👉
https://vkvideo.ru/@batyrev_maxim
Здоровье руководителя и предпринимателя напрямую влияет на эффективность управления командой, а также на наличие энергии для достижения поставленных целей.
В этом году я познакомился с японским подходом к здоровью. Так в моей жизни появился Enhel Dome.
При посещении спа-салона Enhel Dome ведущие специалисты обращают внимание на состояние человека, изучают весь организм, а ритуалы подбирают под его ритм, нагрузку и за…
На мастер-классе «От мотивации к выгоранию и обратно» у меня есть блок про осознанную жизнь руководителя.
Я задаю участникам несколько вопросов: сколько часов в неделю у вас съедает дорога? Что, кроме работы, наполняет ваш обычный день? Видите ли вы детей не только спящими? Есть ли рядом место, где можно погулять, позаниматься спортом, встретиться с друзьями? И что за люди живут вокруг вас?
Очень часто я вижу, что …
Вчера я написал про Airbus.
История, напомню, была такая.
Руководство решило вернуть людей в офис на четыре дня в неделю. Сотрудники вышли на забастовку и Airbus отступил.
Ну ладно, что уж там. Сотрудники победили, менеджмент проиграл. Давайте уж работать дальше.
Но не тут-то было.
Вчера же Reuters пишет, что тысячи сотрудников Airbus в Испании снова бастуют.
Теперь им уже недостаточно истории с удалёнкой. Среди тре…
Сегодня в диалоге с руководителями говорили про настроение команды, как важно, чтобы оно было позитивным, чтобы была энергия и улыбка. Думали над тем, как создавать хорошее настроение. Для меня одним из быстрых и проверенных способов всегда была музыка. При том, что я совсем не аудиал.
Стоит мне включить “Piensas” https://music.yandex.ru/album/5913637/track/20752656?utm_source=web&utm_medium=copy_link, как я уже нач…
Showing the 12 most recent of 59 posts we hold for @Maxim_Batyrev. 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
@Maxim_Batyrev edited 1 post 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
3 September 2026
Most recent edit
3 September 2026
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.
Рост выручки есть, потому что подняли цены, в клиентах роста нет11%
Начали буксовать. Замедляемся30%
Расходы начали превышать доходы. Пытаюсь спасти16%
Летим вниз17%
Закрыл бизнес3%
Другое. Напишу в комментариях14%
The shares total 107%, 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.
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 59 most recent posts we hold, published 17 July 2026 to 3 September 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 6 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.
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.
Владимир Якуба @vyakuba · 48,703 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 26 August 2026
Игорь Рызов | Переговоры и продажи @ryzov_igor · 46,898 Telegram ranks this channel #25 of 98 here — alongside 97 others — read 27 August 2026
Радислав Гандапас @radislavgandapascom · 53,212 Telegram ranks this channel #28 of 90 here — alongside 89 others — read 24 August 2026
Александр Высоцкий @alexander_visotsky · 36,939 Telegram ranks this channel #32 of 95 here — alongside 94 others — read 1 September 2026
Сила Книги | Аудиокниги | Flibusta @silaknigi · 123,248 Telegram ranks this channel #41 of 86 here — alongside 85 others — read 13 August 2026
Олег Шевелев @olegcloser · 35,047 Telegram ranks this channel #55 of 92 here — alongside 91 others — read 2 September 2026
Гений переговоров | Ольга Грищенко @kotperegovor · 43,861 Telegram ranks this channel #73 of 96 here — alongside 95 others — read 28 August 2026
This channel appears in 7 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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Максим Батырев” (@Maxim_Batyrev), 20,694 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Maxim_Batyrev.
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.