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 10 September 2026 and assigned it the closest of 31 fixed categories, at 32% 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 why it has no browse page of its own yet.
Growth
48 measurements spanning 79 days, net +65. 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 25,812–26,186 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)
Subscribers
Change
24 Oct 2026, 10:01
25,923
-24
23 Oct 2026, 08:08
25,947
-16
22 Oct 2026, 07:08
25,963
-6
21 Oct 2026, 02:39
25,969
-4
20 Oct 2026, 00:51
25,973
+25
19 Oct 2026, 02:07
25,948
-15
18 Oct 2026, 01:58
25,963
-4
17 Oct 2026, 02:10
25,967
-16
16 Oct 2026, 02:21
25,983
-10
14 Oct 2026, 23:55
25,993
+9
13 Oct 2026, 14:55
25,984
+70
9 Oct 2026, 14:21
25,914
-30
5 Oct 2026, 03:16
25,944
-52
28 Sept 2026, 10:14
25,996
-59
17 Sept 2026, 19:40
26,055
-1
15 Sept 2026, 19:57
26,056
-17
14 Sept 2026, 05:37
26,073
-8
12 Sept 2026, 13:41
26,081
+3
10 Sept 2026, 13:18
26,078
-33
7 Sept 2026, 06:38
26,111
first reading
Engagement
76 posts held, back to 21 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 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.76%
avg views ÷ 25,923 subscribers
Avg views / post
1,490
22 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
22
of 76 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 October 2026
Posts held
76 (21 July 2026 – 23 October 2026)
Views total
32,831
Reactions total
344
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 06:36 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
≈638
Videos
≈116
Links
≈1,960
Lifetime counters from Telegram’s own channel header, read 25 October 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
9m 31s
Average length
48s
Measured directly from 12 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
1,284 reactions across 74 posts, in 21 distinct kinds. The most used accounts for 34.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
447
34.8%
🔥
331
25.8%
👍
314
24.5%
💯
51
3.97%
🤝
49
3.82%
👏
31
2.41%
😁
11
0.857%
🤔
9
0.701%
✍
5
0.389%
🏆
5
0.389%
👎
5
0.389%
🙏
5
0.389%
🤡
5
0.389%
🤣
4
0.312%
👀
3
0.234%
💩
2
0.156%
🖕
2
0.156%
🤮
2
0.156%
⚡
1
0.078%
🆒
1
0.078%
1 further kind
1
0.078%
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 76 of the 76 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 1,311 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 76 most recent posts we hold, published 21 July 2026 to 23 October 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
14
across the posts below
Posts paid on
13
of 76 we hold a reading for · 17%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ffadru. 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 76 most recent posts we hold for this entry, published 21 July 2026 to 23 October 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.
🔊"Я никого не обманул", — Михаил Фадеев рассказал, как контекст работает в рекламе
✍️ В начале Хазин рассказал, как работает "контекст" на примере известной фразы бизнесмена Полонского: "Если у вас нет миллиарда, то вы можете идти...":
"Он мне объяснял эту историю: "Миш, я устраиваю вечеринку на 100 человек, а набилось уже 300. У меня на руках 4 телефона, на них 2 линии, и все просят впустить. Тогда я не выдержал, …
Времени все меньше!
Вопросы здесь задаете… вы! Если кто не в курсе, читаем этот пост. Именно так: завтра, 23 октября мы завершим сбор вопросов. Нескромно и настойчиво напоминаю вам, что можно задать вопрос не только мне! В вашем распоряжении главный бухгалтер Рунета Владимир Зинин (@Zinin_znaet), у которого можно спросить что угодно о бизнесе, налогах, бухгалтерии, выездных проверках. Бизнес-осьминог Зинин доходчиво…
Новая статья на FFAD.ru. НОВЫЙ фактор эффективной рекламы в 2026 году: о том, как важно доверять маркетологу + Запоздавшие рекламно-маркетинговые итоги-2025
Есть у меня такая традиция: подводить итоги минувшего года, анализируя всю проделанную моим агентством работу. С циферками, графиками – всё предельно честно, на основе интегральной статистики. За 2024 год сначала был такой небольшой пост в блоге, который позже в…
За что платить врачам? Неудобные вопросы о лечении | Спартанский подкаст с Михаилом Фадееы
Подкаст на YouTube
Подкаст на VK Video
Подкаст на Rutube
Telegram-канал Кирилла Барановского – здесь
Никогда не устану повторять: маркетинг и медицина гораздо ближе друг к другу, чем кажется на первый взгляд. За разными словами, задачами и инструментами скрывается общее призвание – увидеть за внешними признаками глубинную при…
Уважаемые! Публикую обновленный график своих командировок. Он ниже, а еще ниже – несколько важных комментариев.
• 18.10-19.10 – Краснодар.
18.10 в 17:00 выступление в бизнес-клубе Impactum совместно с Главбухом всея Рунета Володей Зининым и риэлтором-Решэлтором Алексеем Калашниковым.
• 20.10-21.10 – Санкт-Петербург
• 22.10-23.10 – Москва
• 24.10-27.10 – Санкт-Петербург
• 28.10-29.10 – Москва
• 30.10-01.11 – Казан…
«Ффадкаст». Как придумать креатив?
Подкаст на YouTube
Подкаст на VK Video
Произошла безфадеевщина. Точнее, первый в истории «Ффадкастов» выпуск без моего непосредственного участия. В студии сидело некоторое количество Сергеев. Оба – мои топовые креативщики.
Первый, Сергей Соломатин, уже знаком аудитории. Вот тут его угарнейший вагинар про бизнес с Китаем. Вот здесь наш с ним подкаст о продвижении смартфонов Highsc…
⬆️ТАМ НАЧАЛО⬆️
Вот в таком подходе кроется вторая проблема (первая – надоедливость) всей такой рекламы: человека пытаются лишить права на свободный выбор. Он просто посмотрел сайт, а его уже хватают за рукав, тащат в воронку, названивают, догревают, дожимают и делают все возможное, чтобы он не смог спокойно подумать.
Я твердо уверен, что правильная современная реклама должна работать наоборот: мягко подводить челов…
О том, почему практика «догнать и насильно попытаться продать» на самом деле вредит бизнесу
С незавидной регулярностью поступают мне звонки от разного рода туповатых низкоранговых товарищей («телефонных попок»), которых мучает вопрос: почему я заходил на их сайт, даже смотрел какие-то товары, но ничего не купил? Может, мне нужна помощь? Спрашивайте, дорогой Михаил, мы все подскажем и разъясним!
Ну да, ну да. Я же п…
Фадеев, Зинин и Калашников ответят на вопросы подписчиков!
Вы знаете, что я всегда выступал и выступаю за ЖИВОЕ общение. Именно поэтому мы с моей командой устраиваем ЛИЧНЫЕ встречи с новыми клиентами, а не проводим нудные и бездушные зум-созвоны. А ещё раз в год я в студии на камеру отвечаю на интересные и животрепещущие вопросы, которые вы задаете в комментариях под определенными постами.
В этот раз я решил сделат…
Новая статья на FFAD.ru. Кейс. Как мы настолько завалили заказами гуру инженерных коммуникаций Влада Акина, что он теперь просит прекратить рекламу и оставить его в покое
В новой статье я рассказываю об одном из своих самых-самых любимых клиентов, чьим клиентом, в свою очередь, являюсь я сам. Это инженер-фетишист Влад Акин, специализация которого – прежде всего ультра-высококачественная и мега-продуманная инженерка …
Ффадкаст. Наука выгодных распродаж – Ирина Вершинина
Подкаст на YouTube
Подкаст на VK Video
Вы когда-нибудь видели, чтобы в провинции собиралась очередь женщин, готовых заплатить за вход в магазин одежды, и чтобы потом весь магазин раскупали подчистую? А вот я видел подобную картину своими глазами в Улан-Удэ и скажу вам, что зрелище это незабываемое. Автор идеи уникального центра распродаж — Ирина Вершинина, котора…
⬆️ТАМ НАЧАЛО⬆️
И вот вместо того, чтобы иметь к 2026 году ШЕСТЬ ЛЕТ накопленного капитала в виде сотен крутых экспертных постов и десятков (а то и сотен) привлеченных клиентов, ты в 2026 не имеешь ничего. Ты на стартовой площадке. Причем она (стартовая площадка) за эти годы стала гораздо теснее.
Это я называю «эффектом отставшего от паровоза».
Паровоз поехал. Тебе говорят: «Садись».
Ты отвечаешь: «Да ну, чего-то …
❤7🔥4🤝4
Showing the 12 most recent of 76 posts we hold for @ffadru. 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
@ffadru 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
25 August 2026
Most recent edit
25 August 2026
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 11 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ffadru named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@radio_sputnik named in 1 post, 24 October 2026 – 24 October 2026
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.
Амивео. Заметки о научной организации труда @amiveobusiness · 4,336#1
Read from Telegram’s recommendation API, most recently 23 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.
Максонская ложа (Канал) @nomarketolog · 26,869 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 23 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Фадеевщина | ffad.ru” (@ffadru), 25,923 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/ffadru.
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.