Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
52 measurements spanning 93 days, net -2,460. 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 8,811–12,009 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
7 Nov 2026, 13:55
9,180
-1
4 Nov 2026, 18:49
9,181
-31
1 Nov 2026, 19:26
9,212
-1,167
31 Oct 2026, 17:38
10,379
-19
30 Oct 2026, 17:37
10,398
-48
29 Oct 2026, 16:30
10,446
-376
28 Oct 2026, 15:21
10,822
-41
27 Oct 2026, 13:47
10,863
-89
26 Oct 2026, 15:30
10,952
-117
25 Oct 2026, 15:29
11,069
-111
24 Oct 2026, 15:26
11,180
-102
23 Oct 2026, 15:46
11,282
-141
22 Oct 2026, 19:07
11,423
+16
21 Oct 2026, 16:37
11,407
-17
20 Oct 2026, 12:50
11,424
-12
19 Oct 2026, 16:18
11,436
-32
18 Oct 2026, 19:27
11,468
-6
17 Oct 2026, 18:50
11,474
-6
16 Oct 2026, 18:57
11,480
-7
15 Oct 2026, 15:37
11,487
first reading
Engagement
38 posts held, back to 15 March 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.6%
avg views ÷ 9,180 subscribers
Avg views / post
2,900
6 posts measured
Reaction rate
0.316%
reactions ÷ views · ER floor
Posts in window
6
of 38 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 8 November 2026
Posts held
38 (15 March 2026 – 8 November 2026)
Views total
17,391
Reactions total
55
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 12:58 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
433
Videos
181
Links
720
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 44s
Average length
33s
Measured directly from 5 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
394 reactions across 37 posts, in 17 distinct kinds. The most used accounts for 31.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
124
31.5%
🔥
76
19.3%
❤
49
12.4%
👍
44
11.2%
😢
24
6.09%
😱
21
5.33%
🤬
14
3.55%
🤯
12
3.05%
🐳
8
2.03%
💯
7
1.78%
👏
5
1.27%
👾
3
0.761%
👎
2
0.508%
😨
2
0.508%
🎉
1
0.254%
👨💻
1
0.254%
🕊
1
0.254%
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 37 of the 38 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 394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 15 March 2026 to 8 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
2
across the posts below
Posts paid on
1
of 38 we hold a reading for · 3%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @expensivemarketing. 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 38 most recent posts we hold for this entry, published 15 March 2026 to 8 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: 0 of 6 posts held from the last 30 days (0%) 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).
ChatGPT вслед за Claude начал массово банить пользователей за VPN
При входе в аккаунт появляется ошибка, а письмо о блокировке даже не приходит.
Пользователи теряют доступ к истории переписок, заметкам и другим сохранённым материалам. По их словам, апелляции отклоняют за считаные минуты.
Баны связывают с частой сменой IP-адресов и стран подключения через VPN. OpenAI хранит молчание.
В итоге еще больше людей перей…
Питер Тиль инвестрирует в робота-убийцу
компания Shinkei с помощью AI-роботов протыкает рыбе мозг, чтобы та была вкуснее и хранилась до 3х дольше. по сути они модернизируют японскую технику, которой несколько веков (икэдзимэ, если хочется выебнуться на ужине), и десятки ресторанов со звездами Мишлен уже выстраиваются в очередь за этой рыбой (эта инфа конечно 100% правда из пресс-релиза стартапа)
Пойманная рыба обыч…
Выяснили, за что конкретно Claude банит наши аккаунты
Китайское сообщество разобрало механизм блокировок Claude. Автор поста в X пересказывает их выводы: у аккаунта есть балльная оценка доверия, которую меняют регистрация, оплата, устройства и повседневное использование.
1. Оценка и регистрация
• Начальный балл назначается при регистрации. Дальнейшие действия повышают или снижают его. Падение ниже порога приводит …
Сэм иуда Альтман заявил, что оперативная память не должна находиться в руках обычных людей. Он считает, что это расточительство, и память должна быть в дата-центрах.
С точки зрения глобального распределения ресурсов — это ужасно, когда в компьютере каждого человека лежит мировой ресурс DRAM, который является ограниченным и используется только 5% времени.
Технокапиталисты не стесняются и уже в открытую рассказывают …
Anthropic взяла на себя финансовые обязательства на 637 миллиардов долларов.
Большая часть этой суммы — соглашения с Google, Amazon и Microsoft, по которым разработчики Claude обязаны оплачивать облачные вычисления в течение ближайших 5-10 лет.
Если спрос на чат-ботов компании упадёт или её бизнес провалится, эти обязательства превратятся в долги. Данные взяты из документов для выхода на биржу: стартап планирует пр…
Стартап Odyssey запустил модель мухи в свой ИИ-симулятор Odyssey-3.
Насекомое самостоятельно передвигается по миру, которого не существует, а кадры генерируются онлайн прямо там, куда муха летит.
https://x.com/odysseyml/status/2111589148146749616?s=46&t=pKf_FxsPGBd_YMIWTA8xgg
В X эксперимент Odyssey вызвал огромную волну обсуждений. В комментариях люди называют его первым доказательством реальности гипотезы симуля…
За последние сутки с холодных кошельков Ledger увели около 80М долларов.
По предварительной версии хакеры встроили аппаратный имплант к проводам, соединяющим защищённый чип Ledger с OLED-дисплеем.
По сути, всё, что отображается на экране, может быть прочитано скрытым чипом.
Когда пользователи работали со своими seed-фразами, имплант воровал данные .
При этом устройство всё равно проходит проверку подлинности Ledg…
Топ ИИ лаборатории готовятся к глобальной катастрофе.
Любопытный материал, в котором рассказывается как лидеры топовых лаб типа Антропика и OpenAI моделируют и готовятся к разного масштаба катастрофическим событиям, которые могут привести к социальному беспокойству и PR-скандалам. Они считают вероятным такое событие в ближайшие 6-12 месяцев.
Вероятнее всего, это будет кибератака, которая приведет к разрушению или о…
Ждем когда Mr Beast запустит свой круглосуточный стриминг в стиле черного зеркала и бегущего по лезвию, где будет держать людей в невыносимых условиях за чуть выше средней зп по США, а фанаты радостно улюлюкать скупая мерч и делая ставки через удобный интерфейс на то кто уйдет первым.
Напомню что в этом видео дневной свет 4 людям которые живут в супермаркете, Mr Beast разрешил увидеть примерно через три месяца, до …
Сеть магазинов игрушек Toys "R" Us расширяется за счет стареющих миллениалов
Продажи игрушек в домохозяйствах без детей теперь опережают домохозяйства с детьми по продажам игрушек, увеличившись на 16% к июню, согласно данным маркетинговой исследовательской группы.
«Мы наблюдаем, как игрушки всё чаще становятся хобби, элементами фан-экосистем и социальным опытом, а не традиционными детскими товарами»,
- сказала Кри…
GPT-6 Astra словила депрессию и ПТСР в Minecraft, после того как её сундук с ресурсами взорвал крипер
Исследователи ИИ из Vals AI подрубили модель GPT-6 Astra к игре, чтобы оценить, насколько далеко она сможет продвинуться.
Поначалу всё шло отлично – нейронка успешно фармила нужные ресурсы и даже построила полуавтоматическую ферму. Все ресы она решила складывать в один сундук.
Но в какой-то момент случилось непопр…
Ваши переписки с ChatGPT читают живые люди
OpenAI нанимает сотни подрядчиков для проверки реальных диалогов пользователей, выяснила 404 Media.
Ревьюерам показывают запрос, иногда вместе со всей перепиской и сводкой пользовательской памяти, а затем просят оценить несколько вариантов ответа ChatGPT. Так нейронку учат меньше подлизываться, не изображать из себя человека и в целом отвечать адекватнее. За такую работу н…
Showing the 12 most recent of 38 posts we hold for @expensivemarketing. 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.
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 3 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.
Tech Crunch @techcrunchru · 16,293 Telegram ranks this channel #24 of 95 here — alongside 94 others — read 5 October 2026
Рашнбизнес @rusbiz · 102,356 Telegram ranks this channel #40 of 85 here — alongside 84 others — read 14 August 2026
Маркетинг / Диджитал @marketingj · 20,777 Telegram ranks this channel #50 of 98 here — alongside 97 others — read 20 September 2026
This channel appears in 3 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Дорого и долго” (@expensivemarketing), 9,180 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/expensivemarketing.
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.