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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
41 measurements spanning 75 days, net -302. 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 22,120–22,665 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)
Subscribers
Change
20 Oct 2026, 23:19
22,206
-2
19 Oct 2026, 21:56
22,208
+6
18 Oct 2026, 19:37
22,202
+6
17 Oct 2026, 21:35
22,196
-8
15 Oct 2026, 22:59
22,204
-4
14 Oct 2026, 20:49
22,208
+2
13 Oct 2026, 10:55
22,206
+10
9 Oct 2026, 09:40
22,196
+13
5 Oct 2026, 00:18
22,183
-34
27 Sept 2026, 22:02
22,217
-41
17 Sept 2026, 19:56
22,258
-11
15 Sept 2026, 16:56
22,269
-22
13 Sept 2026, 23:59
22,291
-8
12 Sept 2026, 09:01
22,299
-18
10 Sept 2026, 01:57
22,317
-27
6 Sept 2026, 21:58
22,344
-37
4 Sept 2026, 10:18
22,381
-15
2 Sept 2026, 20:38
22,396
-12
1 Sept 2026, 16:13
22,408
-11
31 Aug 2026, 13:43
22,419
first reading
Engagement
64 posts held, back to 11 June 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 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.9%
avg views ÷ 22,206 subscribers
Avg views / post
3,100
21 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
21
of 64 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 12 October 2026
Posts held
64 (11 June 2026 – 12 October 2026)
Views total
65,000
Reactions total
1,053
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 23:02 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
11m 01s
Average length
44s
Measured directly from 15 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
3,042 reactions across 64 posts, in 15 distinct kinds. The most used accounts for 37.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,133
37.2%
🔥
571
18.8%
👍
298
9.80%
custom 5449380056201697322
208
6.84%
🎉
190
6.25%
👏
142
4.67%
🥰
138
4.54%
😁
114
3.75%
👎
71
2.33%
🤩
48
1.58%
😱
46
1.51%
🤔
39
1.28%
🐳
29
0.953%
🤗
12
0.394%
😢
3
0.099%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 64 of the 64 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 3,042 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 11 June 2026 to 12 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.
Секрет яркой и чёткой картинки в наших телевизорах
Всматриваться в тёмные сцены фильма и пытаться угадать силуэт героя — сомнительное удовольствие.
В телевизорах Сбер Серии 8000 оттенки не сливаются друг с другом. За это отвечают сразу две технологии:
➡️ MiniLED — за свет
Под матрицей стоят сотни диодов размером с маковое зёрнышко. Они управляют подсветкой по зонам: там, где в кадре темно, диоды гаснут полностью.…
От гонок до кино — один SberBox 🎮
Только что играли, а теперь хочется посмотреть фильм? Не ищите пульт между подушками дивана — геймпад уже у вас в руках. Им удобно не только играть, но и управлять интерфейсом медиацентра.
Игры и привычный контент собраны в одном SberBox Max Gaming, а контроллер идёт сразу в комплекте.
Как всё устроено, рассказывает Елена, менеджер продуктового направления ТВ и приставок 🎬
Хотите…
Где случился ваш первый Вжух? 💍
Свою первую оплату кольцом сложно не запомнить: два лёгких нажатия и взмах рукой — Вжух! Покупка оплачена, а кассир ещё пару секунд смотрит с удивлением 😄
Где вы впервые расплатились умным кольцом Сбер? Выбирайте ответ в опросе ниже 😀
В комментариях расскажите заметил ли кто-нибудь ваш Вжух и как отреагировали. Самые интересные истории заберём в следующий пост ✨
Вы рассказали, какой должна быть колонка
А мы услышали 😀
Наша коллега Алёна исследовала, как люди общаются с техникой дома, какие интонации им приятнее слышать и чего не хватает в разговорах с устройствами.
Благодаря вам СберБум 2.0 стала эмпатичной: теперь ей можно дать имя и выбрать один из четырёх голосов. Смотрите, как ваши ответы повлияли на новую колонку 🎬
В сутках учителя 25 часов, не меньше
Каждый день нужно совмещать уроки, подготовку к занятиям и множество организационных задач — и при этом уделять внимание каждому ученику.
Дорогие учителя, спасибо за терпение, внимание и огромную работу, которую вы делаете каждый день 😀
Мы собрали небольшую шпаргалку о том, как интеллектуальные устройства Сбер могут немного разгрузить день: помочь с подготовкой к урокам, взять …
Стол в красках, пол в блёстках, ребёнок счастлив 😀
Вместе с «Союзмультфильмом» запускаем творческий конкурс для маленьких художников и их родителей.
Тема — герои мультсериала «Крошки»: Кеша, Винни, Марта, Зайка, Волчонок, Лёва и Мотя. Технику и стиль выбирайте сами — главное, чтобы рисунок получился ярким.
А дальше — волшебство ✨
Рисунки 10 участников мы оживим с помощью нейросетей ГигаЧат и Kandinsky и превратим…
🧩🧩🧩🧩🧩🧩🧩🧩🧩🧩
Вам приносят счёт в ресторане, а вы не ищете телефон и не достаёте карточку — просто делаете лёгкий жест рукой. Вжух — и всё оплачено 🪄
А почему? Потому что на вашем пальце умное кольцо Сбер. Теперь им можно оплачивать покупки. И это первое в России умное кольцо, которое сочетает отслеживание показателей организма и бесконтактную оплату.
Оно всё так же помогает восстанавливать ресурс и поддерживать бала…
Включайте телевизор и начинайте играть 😀
Облачные игры на медиацентрах становятся всё популярнее — мы видим это по вашей активности и запросам.
Поэтому мы выпустили лимитированную серию SberBox Max Gaming и продумали всё, чтобы играть было проще: геймпад уже в комплекте, специальный лаунчер помогает быстро находить нужные игры, а для знакомства с облачным сервисом мы дарим 10 часов игрового времени.
😀 Геймпад с Ги…
🎉26❤21👍9🔥6🤔2
Showing the 12 most recent of 64 posts we hold for @sber_devices. 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.
Posts edited after publishing
@sber_devices edited 2 posts 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
8 August 2026
Most recent edit
8 August 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.
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 64 most recent posts we hold, published 11 June 2026 to 12 October 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
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 10 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.
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.
Мэр Москвы Сергей Собянин @mos_sobyanin · 367,425#92
Read from Telegram’s recommendation API, most recently 21 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.
ТВОЙ ПРАЙМ @sber_spasibo · 85,744 Telegram ranks this channel #4 of 74 here — alongside 73 others — read 1 October 2026
СберМобайл @sbermobile_official · 23,845 Telegram ranks this channel #4 of 79 here — alongside 78 others — read 16 September 2026
Алиса, что нового? @alice_yndx · 125,720 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 13 August 2026
СберПремьер @sberpremiernew · 106,562 Telegram ranks this channel #16 of 85 here — alongside 84 others — read 15 August 2026
Звук | Музыкальный сервис @zvuk_sound · 36,043 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 10 September 2026
Совкомбанк @sovcombankofficial · 43,760 Telegram ranks this channel #50 of 73 here — alongside 72 others — read 28 August 2026
This channel appears in 6 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 20 October 2026 — this
entry's latest reading, not the date you are reading this.
“Салют, это SberDevices” (@sber_devices), 22,206 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/sber_devices.
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.