31 measurements spanning 32 days, net -395. 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 31,044–31,557 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
7 Sept 2026, 06:41
31,103
-35
4 Sept 2026, 11:36
31,138
-22
2 Sept 2026, 23:06
31,160
-21
1 Sept 2026, 22:47
31,181
-17
1 Sept 2026, 00:48
31,198
-10
31 Aug 2026, 03:44
31,208
-14
30 Aug 2026, 01:18
31,222
-10
29 Aug 2026, 00:25
31,232
-17
28 Aug 2026, 01:08
31,249
-4
27 Aug 2026, 04:18
31,253
-8
26 Aug 2026, 04:49
31,261
-15
25 Aug 2026, 04:08
31,276
-10
24 Aug 2026, 00:36
31,286
-11
22 Aug 2026, 11:52
31,297
-20
21 Aug 2026, 02:53
31,317
-11
20 Aug 2026, 04:46
31,328
-13
19 Aug 2026, 07:41
31,341
-13
18 Aug 2026, 10:14
31,354
+1
17 Aug 2026, 12:54
31,353
-15
16 Aug 2026, 06:18
31,368
first reading
Engagement
44 posts held, back to 24 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.68%
avg views ÷ 31,103 subscribers
Avg views / post
1,770
27 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
27
of 44 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 23 of 27 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 5 September 2026
Posts held
44 (24 July 2026 – 5 September 2026)
Views total
47,681
Reactions total
600
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 13:36 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
Photos
≈3,520
Videos
≈993
Links
≈1,370
Lifetime counters from Telegram’s own channel header, read 7 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
10m 01s
Average length
1m 07s
Measured directly from 9 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
1,032 reactions across 39 posts, in 10 distinct kinds. The most used accounts for 51.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
529
51.3%
👍
252
24.4%
🔥
197
19.1%
💯
17
1.65%
😁
15
1.45%
❤🔥
13
1.26%
💘
5
0.484%
🙏
2
0.194%
👏
1
0.097%
😱
1
0.097%
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 39 of the 44 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 1,032 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 24 July 2026 to 5 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.
«Как раньше не хочу, как по-новому — не знаю»
Знакомое состояние?
Привычная жизнь становится тесной, прежние цели уже не вдохновляют, а новые пока сложно сформулировать. В такие периоды внутри уже начинается движение: меняются желания, приоритеты, отношение к себе и своему будущему.
Это ли не знак, что этой осенью пора наметить свой новый маршрут 🍂
Сейчас на осенней распродаже Хакаматона доступны 8 курсов Ирины Ха…
Как выглядит качество, которое вам мешает?
«Я слишком доверчивая», «я вспыльчивая», «мне сложно отказывать»… Мы хорошо умеем давать своим недостаткам названия. Но от одного названия обычно мало что меняется.
Поэтому предлагаем вам выполнить простое упражнение от Ирины Хакамада: не пытаться сразу исправить качество, а посмотреть на него со стороны и понять, как именно оно проявляется в вашей жизни.
Например, излишн…
А что беспокоит вас сильнее?
Не хватает сил? Эмоции выбивают из колеи? Слишком часто подстраиваетесь под других? Или хочется наконец выйти из привычного сценария?
Подготовили короткий тест, который поможет понять, какой курс Хакаматона больше подходит под ваш сегодняшний запрос.
Пройдите по стрелочкам и найдите свой 👆🏻
А главное — каждый из этих курсов прямо сейчас доступен по специальной цене на распродаже «Своё …
С 1 сентября! 🍂
Сегодня за парты садятся не только дети. Учиться новому, менять привычное и начинать с чистого листа можно в любом возрасте ❤️
Пусть эта осень принесёт вам новые знания и интересные открытия!
Про особо бесящих людей 😁
У каждого есть такой человек. Вроде ничего ужасного не делает, а после разговора с ним вы ещё полвечера мысленно продолжаете спор.
Попробуйте одну практику: рассмотрите его как персонажа. Как он говорит? Что делает? Что именно вас так раздражает?
А теперь самое сложное — найдите хотя бы одну черту, которая есть и у вас.
Желание быть правым, любовь к контролю, привычка перебивать, страх в…
Впервые курсы Ирины Хакамада — с куратором и обратной связью 🔥
Теперь вы не просто смотрите уроки и выполняете задания. Вы отправляете ответы прямо на платформе и получаете разбор от куратора.
Выбирайте программу по ваш сегодняшний запрос:
▪️ «Энергия» — если на себя уже не остаётся сил
▪️ «Баланс» — если устали разрываться между всем и всеми
▪️ «Внутренняя свобода» — если сложно говорить «нет» без чувства вины
▪️ …
А сколько пунктов в вашем летнем бинго? ☀️
До конца лета осталось совсем немного — самое время посмотреть, каким оно получилось.
Вычёркивайте всё, что уже успели сделать, сохраняйте своё бинго и присылайте его в комментарии. Посмотрим, у кого это лето было самым насыщенным 😁
Мы начнём — наше бинго уже в комментариях 👇
ДОНОСИТЬ ДО РОДИТЕЛЕЙ ЧТО-ЛИБО БЕСПОЛЕЗНО 🙅♀️
подробности Ирина рассказала в видео 👆🏻
А как разговаривать с близкими, доносить до начальника свои идеи, отстаивать свои границы презентовать себя и выступать на публике — всему этому мы учимся на обновленном курсе «Давай поговорим 2.0»
👉🏻 ЗАБИРАЙТЕ ПО ССЫЛКЕ
Последние 24 часа действует спец цена, а в 🎁 получите курс «Креативность»
ПОДКАСТ: не нужно делиться счастьем 🎧
Ирина Хакамада рассказала, почему не нужно делиться своим счастьем
А вы как думаете, способен человек делиться своим счастьем?
Showing the 12 most recent of 44 posts we hold for @hakamatonproject. 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.
Polls
The 3 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.
Сколько онлайн-курсов вы покупали, но так и не дошли до конца?
Ни одного38%
1-234%
3-512%
Больше 516%
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 44 most recent posts we hold, published 24 July 2026 to 5 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.
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.
Мир сегодня с "Юрий Подоляка" @yurasumy · 2,667,417#91
Read from Telegram’s recommendation API, most recently 6 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.
Ирина Хакамада @chillosophy · 148,231 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 12 August 2026
Доктор Курпатов @kurpatov_chtodelat · 33,358 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 4 September 2026
Катя Усманова. Тренировки с заботой о теле @withusmanovakate · 55,677 Telegram ranks this channel #63 of 87 here — alongside 86 others — read 23 August 2026
Код молодости| Софи Шайн @facefitnessonline · 105,067 Telegram ranks this channel #63 of 93 here — alongside 92 others — read 15 August 2026
This channel appears in 4 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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“Хакаматон — программы Ирины Хакамада 🈺” (@hakamatonproject), 31,103 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/hakamatonproject.
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.