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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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
60 measurements spanning 92 days, net +21,738. 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 25,250–53,510 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
7 Nov 2026, 22:54
50,249
+597
6 Nov 2026, 18:37
49,652
+288
5 Nov 2026, 21:57
49,364
+382
4 Nov 2026, 21:34
48,982
+289
4 Nov 2026, 00:27
48,693
+495
2 Nov 2026, 21:06
48,198
+449
1 Nov 2026, 22:46
47,749
+369
31 Oct 2026, 19:57
47,380
-960
30 Oct 2026, 22:34
48,340
+387
29 Oct 2026, 20:38
47,953
+482
28 Oct 2026, 18:00
47,471
+294
27 Oct 2026, 19:18
47,177
+529
26 Oct 2026, 18:10
46,648
+450
25 Oct 2026, 14:56
46,198
+308
24 Oct 2026, 18:27
45,890
+429
23 Oct 2026, 15:49
45,461
+312
22 Oct 2026, 13:59
45,149
+396
21 Oct 2026, 04:56
44,753
+293
20 Oct 2026, 04:39
44,460
+367
19 Oct 2026, 04:28
44,093
first reading
Engagement
34 posts held, back to 10 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 168 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
33.8%
avg views ÷ 50,249 subscribers
Avg views / post
17,000
8 posts measured
Reaction rate
0.655%
reactions ÷ views · ER floor
Posts in window
8
of 34 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 5 November 2026
Posts held
34 (10 March 2026 – 5 November 2026)
Views total
135,750
Reactions total
889
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 14:37 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
7m 18s
Average length
2m 26s
Measured directly from 3 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
3,142 reactions across 34 posts, in 29 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
868
27.6%
🎉
576
18.3%
❤🔥
234
7.45%
🔥
234
7.45%
👍
215
6.84%
👌
192
6.11%
🥰
184
5.86%
🕊
119
3.79%
👏
109
3.47%
🙏
96
3.06%
⚡
83
2.64%
💘
50
1.59%
🫡
34
1.08%
🎃
32
1.02%
🍓
19
0.605%
💯
18
0.573%
🤝
15
0.477%
💋
11
0.35%
😘
10
0.318%
👀
9
0.286%
9 further kinds
34
1.08%
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 34 of the 34 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 3,142 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 10 March 2026 to 5 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
1,034
across the posts below
Posts paid on
34
of 34 we hold a reading for · 100%
Most on one post
219
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SpyDuckNews. 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 34 most recent posts we hold for this entry, published 10 March 2026 to 5 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: 3 of 8 posts held from the last 30 days (37.5%) 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).
👨💻 Перевели AI-команды на новую нейро-модель!
Мы не стоим на месте и обновили нейросеть для AI-ответов, по нашим тестам ответы стали умнее и уместнее в контексте диалога в несколько раз!
Так-же обновили общий вид диалогов, добавили поддержку премиум эмоджи, стикеров, отправленных подарков, закрепов и других типов сообщений.
Серия сообщений теперь выводится и в мини-приложении, а в статистике отображается их общее…
🤪 Добавили новые команды в бота Spy Duck!
Подробное описание каждой команды можно посмотреть в нашем боте по кнопке «🔨 Команды бота»
.ocr — Получить текст с фото
.qr — Сгенерировать QR из текста
.round — Кружочек из видео
.text — Текст голосового / кружочка
.rand — Сгенерировать случайное число
.font — Написать текст красивым шрифтом
.sfont — Выбрать шрифт для команды .font
.duel — Дуэль на скорость реакции
.lots —…
🐰 Розыгрыш на 5 NFT Jelly Bunny за приглашенных друзей завершен!
Сегодня 1 ноября и мы случайным образом выбрали 5 победителей, которые получат 5 коллекционных NFT: 🐰 🐰 🐰 🐰 🐰
🫰 Всем спасибо за участие, призы были отправлены победителям!
⚡️ Белый дом считает врагом любого, кто использует других ботов по покупке звезд вместо «Duck Stars», — Трамп.
⚠️ ЭТО НЕ РЕКЛАМА!!!
А мы считаем что омерика впервые в жизни права, купите звезды, а мы оплатим сервер для более чем 45.000 Пользователей Spy Duck
Там реально ну того этого сейчас новый месяц нам придет счет на оплату, бот бесплатный только из-за вас!
👉 Купить звезды: @duckprems_bot
💬 Вступить в наш ча…
😎 Кстати, создать своего бота которого никогда не удалят вы можете в самом боте @spyduck_bot - по кнопке "Заработать на боте"
Вам будут приходить по 3 звезды за каждого подключенного к вашему боту пользователя.
Зарабатывать не обязательно, вы можете просто создать своего бота по этой кнопке, поставить ник, и аватарку какую хочется, и оставить его чисто для себя
💬 Вступить в наш чатик: @SpyDuckChat
⭐️ Купить звезд…
😭 Telegram удалил нашего бота @duckspy_bot, наш новый бот - @spyduck_bot
*Если у вас ничего не слетело, и не удалилось, значит вы используете одного из других наших ботов
⚠️ ЭТО НЕ РЕКЛАМА!!!
По подсчетам специалистов 57,82–57,83% пользователей выбирают @duckprems_bot при покупке звёзд в телеграмм на свой аккаунт, и мы ценим это ! 😍
А так же покупка звёзд через нашего бота это отличная возможность поддержать проект Spy Duck который работает для 40000 пользователей бесплатно уже почти год!
💬 Вступить в наш чатик: @SpyDuckChat
⭐️ Купить звезды: @duckprems_bot
👍36❤🔥10🎉9❤7🙏6🥰4👌3👨💻3
Showing the 12 most recent of 34 posts we hold for @SpyDuckNews. 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
@SpyDuckNews 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
4 October 2026
Most recent edit
2 November 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @SpyDuckNews as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
4 September 2026
Most recent seen missing
31 October 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
1
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
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.
Handles this channel named that no longer answer
Dead references
2
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
2
vacant every time we have ever looked
@SpyDuckNews named 2 handles 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.
@duckspy_bot named in 7 posts, 4 October 2026 – 30 October 2026
@x1nfosjd named in 4 posts, 8 August 2026 – 16 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Spy Duck News” (@SpyDuckNews), 50,249 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/SpyDuckNews.
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.