Science — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
25 measurements spanning 90 days, net +1,045. 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 5,700–7,232 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 11:49
7,055
+233
2 Nov 2026, 22:04
6,822
+146
31 Oct 2026, 00:55
6,676
+20
28 Oct 2026, 04:40
6,656
+177
24 Oct 2026, 21:21
6,479
+115
21 Oct 2026, 11:19
6,364
+91
17 Oct 2026, 23:38
6,273
-71
15 Oct 2026, 07:54
6,344
+65
12 Oct 2026, 02:02
6,279
+170
5 Oct 2026, 14:02
6,109
-262
27 Sept 2026, 15:37
6,371
+469
18 Sept 2026, 17:01
5,902
+25
14 Sept 2026, 07:15
5,877
-144
10 Sept 2026, 11:21
6,021
+30
5 Sept 2026, 09:21
5,991
+24
1 Sept 2026, 03:38
5,967
+27
28 Aug 2026, 19:16
5,940
-72
25 Aug 2026, 14:16
6,012
+15
22 Aug 2026, 22:19
5,997
-25
19 Aug 2026, 22:02
6,022
first reading
Engagement
79 posts held, back to 4 August 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 25 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.9%
avg views ÷ 7,055 subscribers
Avg views / post
1,330
36 posts measured
Reaction rate
0.55%
reactions ÷ views · ER floor
Posts in window
36
of 79 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
79 (4 August 2026 – 8 November 2026)
Views total
48,017
Reactions total
264
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 10:48 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
≈498
Videos
≈2,920
Links
≈3,620
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
19m 16s
Average length
16s
Measured directly from 74 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
356 reactions across 69 posts, in 18 distinct kinds. The most used accounts for 14.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
50
14.0%
🤩
49
13.8%
🥰
28
7.87%
😁
27
7.58%
🤔
27
7.58%
❤
24
6.74%
🤣
24
6.74%
😎
22
6.18%
👏
20
5.62%
🔥
17
4.78%
🙏
17
4.78%
💩
16
4.49%
👎
10
2.81%
😱
8
2.25%
🤬
6
1.69%
💔
4
1.12%
😢
4
1.12%
😡
3
0.843%
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 69 of the 79 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 356 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 4 August 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 36 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).
Белопятнистая кошачья акула обитает в западной части Тихого океана и обычно охотится ночью. В её рацион входят донные беспозвоночные и мелкая рыба. Небольшой размер, белые пятна и короткая морда отличают её от других акул. Этот вид можно встретить в аквариумах, но ему нужен особый уход. 🦈
На дне
Дельфины 🐬
Эти морские млекопитающие живут группами и общаются с помощью сложных звуков. Для навигации и охоты они используют эхолокацию. В рацион дельфинов входят рыба и кальмары. Дельфины отличаются высоким интеллектом, дружелюбным нравом и игривостью.
На дне
Американский гидролог способен излучать свет жабрами 🐟
Свечение бывает зелёным, синим или красным. Оно помогает рыбе привлекать добычу и отпугивать хищников.
На дне
Ламантины обычно передвигаются со скоростью 8 км/ч. Но при необходимости могут разогнаться до 30 км/ч. Для этого им приходится прикладывать огромные усилия. ✨
На дне
1697 год. В районе Перта в Австралии открыли чёрного лебедя 🦢
Это птица из рода лебедей (Cygnus), семейства утиных. Взрослый лебедь вырастает до 110-140 см. Он чуть меньше лебедя-шипуна, зато весить может до 10 кг.
На дне
Хотите разбираться в экономике и инвестициях? Мы делаем сложные вещи понятными!
💲Анализ финансовых рынков
👩🏻💼 Советы по инвестированию
💸 Экономические тренды
Подписывайтесь!
2 важные задачи в рифовом аквариуме выполняют безопасные для рифов крабы 🦀
Они помогают сдерживать рост водорослей. А ещё поедают остатки корма и мусор с песка. Так крабы поддерживают здоровье рифового аквариума и помогают ему оставаться устойчивым.
На дне
Как быстро способен разогнаться ламантин? Короткими рывками он развивает скорость до 32 км/ч. Помогают мощные лопастные хвосты. Но обычно эти спокойные животные плывут куда размереннее - около 8 км/ч. 🦭
На дне
Редкие кадры, которые переносят нас в прошлое. Исторические события, личности и моменты, запечатленные в снимках.
🗄️ Уникальные архивные фото
📷 Истории за кадром
⏳Атмосфера ушедших эпох
Смотри на историю через объектив!
В Уайалле, в Южной Австралии, каждый год появляется новое поколение гигантских австралийских каракатиц 🦪
Зимой они собираются в одном и том же месте, чтобы спариться и дать жизнь потомству.
На дне
Тигровую креветку 🦐 легко узнать по двум приметам: она вырастает до 35 сантиметров, а её панцирь покрывают тёмные полосы. Именно из-за них креветка и получила своё название.
На дне
😎3👏2
Showing the 12 most recent of 79 posts we hold for @na_dnebloshom. 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 recorded as deleted after publishing
We recorded 8 posts on @na_dnebloshom 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
8 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
31 hours
Seen missing in the last 30 days
4
Mentions
Named by 7 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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“На дне” (@na_dnebloshom), 7,055 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/na_dnebloshom.
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.