Telegram RegisterThe public register of Telegram

Channel

Михаил Иванов, издатель

@mikhail_ivanov78

On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Cite this entry

8,709subscribers

-14 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001600905638
TypeChannel
Username@mikhail_ivanov78
Created21 April 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/mikhail_ivanov78

Growth

8,7068,7238,714.56 August 2026 — 8,723 subscribers7 August 2026 — 8,718 subscribers10 August 2026 — 8,706 subscribers13 August 2026 — 8,709 subscribers8,7096 August 202613 August 2026
4 measurements spanning 7 days, net -14. 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 8,703–8,726 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:568,709+3
10 Aug 2026, 03:578,706-12
7 Aug 2026, 04:308,718-5
6 Aug 2026, 06:498,723first reading

Engagement

24 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.9%
avg views ÷ 8,709 subscribers
Avg views / post
1,640
23 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
24
of 24 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held24 (21 July 202611 August 2026)
Views total37,774
Reactions total850
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:05 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

815 reactions across 22 posts, in 14 distinct kinds. The most used accounts for 37.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
30537.4%
🔥29736.4%
👍14718.0%
🙏212.58%
👏80.982%
🤝80.982%
🤯70.859%
😁60.736%
50.613%
😱50.613%
👌20.245%
🤓20.245%
❤‍🔥10.123%
🥴10.123%

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 23 of the 24 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 850reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 21 July 2026 to 11 August 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.

Advertising

Ad load
4.17%
1 of 24 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,680
over 1 measured post
Median views · rest
1,670
over 22 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
eridPostsFirst seenLast seen
2SDnjbrbaN7121 July 202621 July 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 24 most recent posts we hold, published 21 July 2026 to 11 August 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.

Recent posts

11 Aug 2026, 13:34 UTC699 views25 reactionsread 12 August 2026
Photo

Katarzyna “Kasia” Niewiadoma-Phinney — одна из самых интересных гонщиц современного женского пелотона, лидер команды Canyon//SRAM. За последние три года у Kasia на Tour de France Femmes: 2024 — 1-я 2025 — 3-я 2026 — 2-я. Эта гонка закончилась на прошлой неделе и была очень увлекательной. Касия участвовала в трёх Олимпиадах, представляя Польшу. В 2024 году Касия вышла замуж за американца Taylor Phinney — бывшего п

🔥193👍3

10 Aug 2026, 12:49 UTC865 views14 reactionsread 12 August 2026
Photo

Книги Smart Reading для читателей вашего канала! Если вы ведете интересный канал или блог, давайте сотрудничать. Мы вам наши книги -- вы честную рецензию у себя на канале. Мы с любовью делаем серию “Чему не учат в школе”, “Расскажи мне о себе”, книги инфографик. Мы делаем очень немного книг. Расскажите о своём канале, его тематике и читателях в этой форме. Мы ответим и договоримся о том, как передать книги. Моя к

🔥122

9 Aug 2026, 19:42 UTC≈1,170 views60 reactionsread 12 August 2026
Photo

Haute Route -- любительская велогонка. 7 дней в Альпах В этом году я снова поеду эту гонку. В прошлом 2025 году -- эта гонка стала одним из самых ярких впечатлений года. Чтобы участвовать, нужны три вещи: -- Форма — выдержать 7 дней подряд в горах. В этом году 808 км. И 19 255 метров набора высоты. -- Деньги — бюджет легко доходит до $10 000 (перелёты, проживание, страховка, питание, сама гонка). -- Время — минимум

36🔥16👍8

9 Aug 2026, 13:40 UTC≈1,120 views74 reactionsread 12 August 2026

Когда мы придумали и создали издательство «Манн, Иванов и Фербер» в 2005 году, не было: — AI — iPhone — Telegram — Facebook и Instagram — да и почти всех социальных сетей и мессенджеров, без которых сегодня сложно представить жизнь. Ozon был крошечным, а WB вообще не было. Я хорошо понимаю, как непросто сейчас вашему бизнесу. Нашему Smart Reading тоже непросто. Но я почему-то уверен, что и это мы переживем. Сил

41🔥23🤝8🙏2

9 Aug 2026, 13:18 UTC≈1,130 views13 reactionsread 12 August 2026
Photo

+10 градусов к среднедневной температуре Думаю, что у вас сейчас жарко. В Колорадо тоже необычно жарко. В iPhone в приложении Weather есть функция -- сравнение со средней температурой в этот день. Так вот у нас сегодня +10 по Цельсию.

🤯7😱5👍1

7 Aug 2026, 17:07 UTC≈1,340 views61 reactionsread 12 August 2026
Photo

Яблоко, помидор, морковка -- все одного вкуса В Нью-Йорке. Таким наблюдение поделился участник вело-сбора в Боулдере, съев местный персик, только снятый с дерева. И ведь действительно, живя в большом городе, сложно найти местные персики, помидоры, яблоки. Сейчас в Колорадо сезон урожая и эти дни мы с соседями делимся тем, что выросло у нас. Мы сами выращиваем совсем немного, но каждый раз удивляюсь этому маленькому

🔥3412👍9👏4🤓2

6 Aug 2026, 18:15 UTC≈1,490 views9 reactionsread 12 August 2026

Я подарил валентинку Ане от Тони Кузьмич Чудесное трогательное стихотворение в исполнении Анны Егоян https://www.youtube.com/watch?v=BbHodeoK99M&list=RDMMBbHodeoK99M&start_radio=1

7👍2

6 Aug 2026, 16:39 UTC≈1,460 views22 reactionsread 12 August 2026

Вело-гонки в фондо в США Хочу поделиться несколькими красивыми шоссейными и гравийными гонками и фондо в США. Все гонки (фондо) из этого списка я проехал и смело могу рекомендовать. Levi's Gran Fondo — Виндзор (округ Сонома), Калифорния. Обычно проходит в конце апреля. Главная дистанция — 182 км, также есть маршруты 13, 61, 109, 138 и 222 км. Большие наборы высоты. Высокая конкуренция. Очень красивые трассы. Bould

15👍4🔥3

5 Aug 2026, 05:22 UTC≈1,420 views16 reactionsread 12 August 2026
Photo

Давайте проведем максимально полезный книжный клуб для вашей компании Как выстроить искренний и глубокий диалог с командой, когда рабочая рутина затягивает? Один из лучших инструментов для этого — корпоративный книжный клуб. Это не просто совместное чтение. Это легальный способ обсудить острые рабочие вопросы, сплотить команду и сгенерировать новые идеи на базе лучших нон-фикшн книг. Мы провели десятки клубов и зна

14😁2

3 Aug 2026, 23:18 UTC≈1,590 views53 reactionsread 12 August 2026
Photo

Вело-сбор в Колорадо и планы на 2027 год Колорадо — одно из лучших мест в мире для велосипеда. Здесь есть то, чего почти невозможно найти в одном регионе одновременно. — Подъемы до 4300 метров над уровнем моря. На шоссейном велосипеде можно подняться на вершины, которые значимо выше, чем в Европе. Даже в разгар лета наверху прохладно, поэтому, когда внизу +35 °C, в горах можно комфортно тренироваться. — Достаточно

👍3314🔥6

31 Jul 2026, 12:36 UTC≈2,120 views59 reactionsread 12 August 2026

Благотворительность на $7 миллиардов — магазины Goodwill В США есть сеть магазинов Goodwill. В нее входят около 3400 магазинов. Люди бесплатно привозят ненужные вещи: одежду, обувь, мебель, книги, посуду, электронику — практически все, что еще может послужить другим и жалко выкинуть. Сотрудники сортируют вещи: лучшие отправляются в магазины, часть продается онлайн, а то, что уже не пригодно для использования, идет

26🔥17👍16

Showing the 12 most recent of 24 posts we hold for @mikhail_ivanov78. 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.

Citation-graph rank

Citation-graph rank — 69,651 of 1,480,688entries 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Михаил Иванов, издатель” (@mikhail_ivanov78), 8,709 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mikhail_ivanov78.

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.