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Channel
@WatchDogTeam
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
659subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002412548620 |
|---|---|
| Type | Channel |
| Username | @WatchDogTeam |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/WatchDogTeam |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 17:22 | 659 | no change |
| 10 Aug 2026, 19:15 | 659 | first reading |
13 posts held, back to 3 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 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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 13 (3 July 2026 – 8 August 2026) |
| Views total | 2,253 |
| Reactions total | 164 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 19:15 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.
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.
255 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 41.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 106 | 41.6% | |
| custom 5375164631939569362 | 46 | 18.0% | |
| 👍 | 27 | 10.6% | |
| ❤ | 26 | 10.2% | |
| 🎉 | 19 | 7.45% | |
| custom 5375594188798713821 | 10 | 3.92% | |
| custom 5375147726948292043 | 8 | 3.14% | |
| custom 5469645992531862101 | 6 | 2.35% | |
| custom 5372865033434854120 | 4 | 1.57% | |
| 🏆 | 3 | 1.18% |
Custom emoji. 5 of the rows above are 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 counts beside them areTelegram’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 12 of the 13 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 255reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 3 July 2026 to 8 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.
🎙️ Новый выпуск WatchDog Толк уже вышел А мы решили узнать у участников, что им запомнилось больше всего 👀 Смотрите ответы участников - и, если еще не успели, включайте новый выпуск!
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🎙️ WatchDog Толк — «ИИ-аватар и что еще мы доверяем не человеку», Part 2 Константин проходит собеседования с виртуальным аватаром на профиль «Бизнес-аналитика» и «Кассира». Справится ли ИИ с ролью интервьюера и каким будет результат? 🔥 🎤 Гости выпуска: • Константин Марков - технический специалист • Артем Бажанов - тестировщик команды «Виртуальный аватар» • Александр Казанцев - ИТ-лид команды «Виртуальный аватар» …
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WatchDog pinned a photo
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⚡️Мы собрали визуальный редактор расписаний: Вместо ручного 0 9 * * 1 можно выбрать «ежедневно / еженедельно / ежемесячно», дни, время или интервал — и сразу получить готовое cron-выражение с понятным описанием. Кому полезно тем, кто настраивает задачи и не хочет помнить синтаксис cron; DevOps и разработчикам — быстро собрать и проверить выражение; поддержке и админам — объяснить расписание «по-человечески», без рас…
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‼️У нашего коллеги, Алексея Журавлева, архитектора WatchDog, вышла новая статья на Хабре! 🚀На этот раз Алексей подготовил научно-популярный материал, посвященный биологии старения в космосе. Почему организм стареет иначе за пределами Земли? Какие открытия уже сделали ученые и какие вопросы пока остаются без ответа? 💬 Будем рады, если статья станет поводом для обсуждения. Делитесь своими мыслями в комментариях - авт…
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Сегодня сняли новый выпуск «WatchDog Толк» 🎙️ Продолжаем тему: «ИИ-аватар и что еще мы доверяем не человеку» Part 2! Совсем скоро в канале 🚀
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Начинаем неделю с впечатлений участников WatchDog Толк 🙌 Сразу после записи мы спросили: что запомнилось больше всего? 👀
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🎙️ WatchDog Толк - «ИИ-Аватар и что еще мы доверяем не человеку, part 1» Где проходит граница между удобством и доверием к искусственному интеллекту? Может ли ИИ стать полноценным представителем человека, и какие решения мы уже сегодня готовы передавать алгоритмам? 🎤 Гости выпуска: • Константин Марков - технический специалист • Владимир Потапов - Product Owner команд «Виртуальный аватар» и «Внешние поверхности», ст…
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🎙Пока готовится новый выпуск, предлагаем посмотреть, как AI Scribe расшифровал предыдущий подкаст с Олегом Бондарем и Владимиром Хайминым. Сервис не только преобразовал речь в текст, но и автоматически разделил диалог по спикерам, определив их роли и основные темы разговора. SPEAKER_01 — ведущий подкаста. Задает направление беседы, обсуждает с гостями архитектуру современных инфраструктурных решений, задает уточняю…
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Showing the 12 most recent of 13 posts we hold for @WatchDogTeam. 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 — 763,906 of 1,350,102entries 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“WatchDog” (@WatchDogTeam), 659 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/WatchDogTeam.
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.