National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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
35 measurements spanning 43 days, net +1,761. 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 20,406–23,086 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:18
22,501
-38
15 Sept 2026, 23:41
22,539
-35
14 Sept 2026, 09:39
22,574
-31
12 Sept 2026, 20:38
22,605
-60
10 Sept 2026, 18:56
22,665
-20
7 Sept 2026, 14:40
22,685
-92
4 Sept 2026, 18:17
22,777
+234
3 Sept 2026, 00:14
22,543
+60
1 Sept 2026, 22:26
22,483
+22
31 Aug 2026, 20:05
22,461
+180
30 Aug 2026, 21:06
22,281
+139
29 Aug 2026, 18:05
22,142
+155
28 Aug 2026, 15:05
21,987
+87
27 Aug 2026, 15:13
21,900
+179
26 Aug 2026, 12:13
21,721
+215
25 Aug 2026, 10:45
21,506
+115
24 Aug 2026, 12:39
21,391
+114
22 Aug 2026, 20:03
21,277
+122
21 Aug 2026, 10:33
21,155
+91
20 Aug 2026, 07:42
21,064
first reading
Engagement
509 posts held, back to 5 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 77 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.6%
avg views ÷ 22,501 subscribers
Avg views / post
3,730
165 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
165
of 509 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 3 September 2026
Posts held
509 (5 August 2026 – 3 September 2026)
Views total
615,359
Reactions total
9,883
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 14:40 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
1h 29m
Average length
38s
Measured directly from 142 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
29,922 reactions across 492 posts, in 8 distinct kinds. The most used accounts for 43.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
13,024
43.5%
😢
9,410
31.4%
❤
3,633
12.1%
👍
1,838
6.14%
🤯
580
1.94%
🤡
569
1.90%
🤣
447
1.49%
🔥
421
1.41%
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 508 of the 509 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 30,718 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 509 most recent posts we hold, published 5 August 2026 to 3 September 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.
❗️Приліт — по заводу, де виробляють «Coca-Cola», «Fanta», «Sprite», «Schweppes», «Fuze Tea», соки «Rich», енергетики «Burn» та «Monster Energy»: рф вдарила по одному із найбільших заводів «Coca-Cola» у Європі, — київські ЗМІ.
Підписатися на Times of Ukraine
⏺Загроза реактивних ударних БПЛА. Повітряна тривога в Херсоні та районі, — монітори.
⚡️Перегляньте, що летить в район вашого місцезнаходження — (ПЕРЕГЛЯНУТИ)
❤️ Завжди опиняєтеся не в тому місці, але в потрібний час? Маєте шанс заробити на цьому!
Не стійте, роззявивши рота: якщо побачили щось цікаве — знімайте і надсилайте нам!
За якісний унікальний контент ми платимо.
За винагородою — сюди: @tu_kherson_bot
❗️Перевищення допустимого рівня забруднення повітря фіксували в Херсоні у серпні: це пов’язано з активними бойовими діями, — ГМЦ.
⭕️Було виявлено середньодобові концентрації діоксиду азоту — до 2,78 раза вище норми, а формальдегіду в окремі дні — до 3,83 раза.
⭕️Водночас, порівняно з липнем рівень забруднення діоксидом азоту та фенолом помітно зменшився.
Херсон | Times
Купуємо контент | ❤️
❗️«АТБ» може виїхати з Херсона, — таку інформацію поширюють z-пабліки.
Наразі мережа супермаркетів ще працює у місті.
Херсон | Times
Купуємо контент | ❤️
❗️8 хвиль масованих ударів по енергетиці України прогнозують Розвідка та Міненерго США — нас чекає по 14-16 годин відключень світла на день.
⭕️Перші три хвилі будуть наймасштабнішими — до 90 ракет різних типів полетить по ключових енергооб'єктах за раз.
⭕️Під удар попадуть Київський регіон, Одеський, Дніпровщина, Черкащина, Вінничина та Захід України.
⭕️Початок такої кампанії прогнозують на останню декаду вересня — …
❤️ Доброго ранку! Сьогодні — День хмарочоса. Вони давно стали символом великих міст, амбіцій і людського бажання піднятися якомога вище. А ще це чудове нагадування: іноді варто дивитися не під ноги, а трохи вище.
Херсон | Times
Купуємо контент | ❤️
❗️За роботу в шахрайських кол-центрах можуть саджати до 12 років, а «дропів» — до 8 років: Зеленський подав два законопроєкти про посилення відповідальності.
Що пропонують:
⭕️Організація або керівництво шахрайським кол-центром — 7–12 років вʼязниці;
⭕️Свідома робота в такому кол-центрі або допомога йому — 5–10 років;
⭕️Вербування людей — 3–5 років, повторно — до 10 років;
⭕️Передача власної картки або доступу до рах…
⚡ Моменти «прильотів» ворожих «шахедів» по Таврійському мікрорайону Херсона в ніч на 1 вересня, — очевидці.
Внаслідок цієї атаки постраждали 2 співробітниці підприємства міської інфраструктури.
Херсон | Times
Купуємо контент | ❤️
😢44🤬12🤯5❤3👍1
Showing the 12 most recent of 509 posts we hold for @times_kherson. 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
@times_kherson edited 4 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
23 August 2026
Most recent edit
30 August 2026
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 5 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Херсон | Times” (@times_kherson), 22,501 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/times_kherson.
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.