2 measurements taken within a single day, net +12. 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 1,842–1,858 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 21:34
1,856
+12
11 Aug 2026, 21:45
1,844
first reading
Engagement
16 posts held, back to 13 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
82.5%
avg views ÷ 1,856 subscribers
Avg views / post
1,530
14 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
14
of 16 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 10 August 2026
Posts held
16 (13 July 2026 – 10 August 2026)
Views total
21,438
Reactions total
325
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Aug 2026, 21:45 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
24s
Average length
24s
Measured directly from 1 video 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
390 reactions across 16 posts, in 18 distinct kinds. The most used accounts for 29.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
116
29.7%
🔥
116
29.7%
💘
47
12.1%
🐳
24
6.15%
👍
19
4.87%
⚡
18
4.62%
🍾
12
3.08%
🏆
8
2.05%
❤🔥
6
1.54%
🆒
6
1.54%
🍓
4
1.03%
💯
4
1.03%
🕊
3
0.769%
💋
2
0.513%
🙈
2
0.513%
👎
1
0.256%
🤝
1
0.256%
🥰
1
0.256%
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 16 of the 16 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 390reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 13 July 2026 to 10 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.
🏁 BMW В ПРОДАЖЕ.
Дождались! Наша лимитированная ретро-коллекция BMW Sauber официально вышла.
Тот самый вайб середины 2000-х мы перенесли в современный SECTOR: технологичная ткань, свободный крой, внимание к деталям и дизайн, который спокойно становится частью повседневного гардероба.
Коллекция лимитированная — количество футболок и размеров ограничено.
📦 Продажи уже открыты.
Для заказа — @sector_mgr
BMW вернулас…
🏁 Небольшое обновление по дропу BMW.
Мы переносим релиз коллекции на 10 августа.
Всё просто: мы слишком сильно заморачиваемся над деталями.
📦 Предзаказ остаётся открытым — ещё есть время успеть оформить заказ до официального дропа.
Спасибо за ваше доверие 🏁
За каждой футболкой SECTOR — десятки мелочей, которые редко замечают на фото, но сразу ощущают в жизни.
Мы уделяем огромное внимание ткани: она технологичная — отводит влагу, приятно ощущается на теле и сохраняет форму после стирок. Всё это проверяем не в лаборатории, а на себе — носим каждый день, отдаём друзьям на тесты и собираем честную обратную связь.
Именно поэтому SECTOR уже носят более 500 человек. И это то…
🏁 Формула-1 официально уходит на летние каникулы.
Следующая гонка пройдёт 23 августа на легендарной трассе Зандворт — домашнем этапе Макса Ферстаппена. До возвращения сезона почти три недели.
А мы ждать не собираемся.
Пока команды готовятся ко второй половине чемпионата, мы полным ходом готовим эксклюзивную ретро-коллекцию SECTOR × BMW.
👌 Дроп — 5 августа.
Предзаказ уже открыт. Коллекция лимитированная, поэтому …
🏁 ЛУДКА #4 — итоги
Вот это гонка.
Победа Норриса, второе место Ферстаппена и третим пришёл Кими Антонелли — такой итог не смог предсказать никто.
В этот раз точную тройку снова никто не угадал.
Но без победителя мы вас не оставим.
🎁 Победителем по репостам случайным образом стал подписчик с ником в inst: @ron00007. Поздравляем! Совсем скоро свяжемся с вами, чтобы отправить любую футболку SECTOR на выбор.
Спасиб…
🏁 ЛУДКА #4
В прошлый раз всё получилось даже лучше, чем мы ожидали — сразу 4 человека угадали точную тройку призёров. Футболки уже добрались до своих владельцев, поэтому долго ждать не будем.
Запускаем ЛУДКУ #4.
В этот раз домой снова уедут две футболки.
Первая — тому, кто первым угадает точную тройку призёров Гран-при.
Вторая — случайным образом среди тех, кто сделает репост этого поста к себе в Stories с отмет…
🏁 На прошлой неделе 59% из вас ответили «конечно» на вопрос, помните ли вы BMW Sauber.
Роберт Кубица. Победа в Канаде в 2008-м. Бело-сине-серебристые болиды, которые для многих до сих пор остаются классикой Формулы-1.
Мы сделали эксклюзивную ретро-коллекцию SECTOR × BMW именно для тех, кто помнит эту эпоху. Культовые цвета, легендарные ливреи и тот самый вайб середины 2000-х — ограниченным тиражом.
Предзаказ уже о…
ЛУДКА #3 — итоги 🏁
В этот раз точную тройку призёров смогли угадать сразу 4 человека. Но по правилам победителем становится тот, кто сделал это первым.
🏆 Поздравляем @QWER04 — именно вы первым дали верный прогноз. Отправляем вам любую футболку SECTOR на выбор.
И, конечно, разыграли вторую футболку среди тех, кто сделал репост в Stories с отметкой нас.
🎉 Победитель — @cherkci.
Спасибо всем, кто участвовал! Было о…
🏁 До старта Гран-при Бельгии остаётся совсем немного.
Если ещё не успели оставить свой прогноз в «ЛУДКЕ #3» — сейчас самое время.
В этот раз разыгрываем сразу две футболки SECTOR:
🏆 Первая — тому, кто первым угадает точную тройку призёров.
🎁 Вторая — среди тех, кто сделал репост поста к себе в Stories с отметкой нашего любого аккаунта.
А мы будем следить за гонкой вместе с вами, болеть и ждать, чей прогноз окаже…
🔥13💘5
Showing the 12 most recent of 16 posts we hold for @sector_merch. 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 — 1,091,638 of 1,345,403entries 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.
Mentions
Named by 2 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
@sector_merch 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.
@cherkci named in 1 post, 12 August 2026 – 12 August 2026
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“SECTOR - Style by Formula 1” (@sector_merch), 1,856 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sector_merch.
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.