Local community — 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 11 September 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
31 measurements spanning 51 days, net -89. 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 10,185–10,300 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
25 Sept 2026, 22:18
10,198
-8
19 Sept 2026, 02:55
10,206
-4
16 Sept 2026, 20:02
10,210
-2
15 Sept 2026, 02:20
10,212
-5
13 Sept 2026, 12:18
10,217
-9
11 Sept 2026, 14:58
10,226
-5
8 Sept 2026, 22:22
10,231
-18
5 Sept 2026, 13:37
10,249
+1
2 Sept 2026, 06:35
10,248
-3
1 Sept 2026, 06:44
10,251
-2
31 Aug 2026, 03:38
10,253
-1
30 Aug 2026, 03:55
10,254
-3
26 Aug 2026, 09:12
10,257
-5
25 Aug 2026, 12:08
10,262
+4
24 Aug 2026, 11:28
10,258
+2
22 Aug 2026, 17:04
10,256
-5
21 Aug 2026, 06:04
10,261
-3
19 Aug 2026, 11:07
10,264
-6
18 Aug 2026, 14:05
10,270
+1
17 Aug 2026, 14:58
10,269
first reading
Engagement
169 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 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.72%
avg views ÷ 10,198 subscribers
Avg views / post
889
8 posts measured
Reaction rate
0.352%
reactions ÷ views · ER floor
Posts in window
8
of 169 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 28 August 2026
Posts held
169 (4 August 2026 – 28 August 2026)
Views total
7,111
Reactions total
25
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 03:18 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
2h 18m
Average length
27m 42s
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.
Reaction mix
434 reactions across 147 posts, in 11 distinct kinds. The most used accounts for 53.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
231
53.2%
👍
121
27.9%
🙏
68
15.7%
🤩
4
0.922%
👏
3
0.691%
🎉
2
0.461%
⚡
1
0.23%
❤🔥
1
0.23%
🏆
1
0.23%
👌
1
0.23%
😍
1
0.23%
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 165 of the 169 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 505 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 169 most recent posts we hold, published 4 August 2026 to 28 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.
В Отделении СФР по Запорожской области рассказали о количестве оформленных СНИЛС в этом году
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Минздрав информирует: за прошлые сутки в Запорожской области на свет появилось 6 детей
Из них:
мальчиков — 5
девочек — 1
#Медицина
💪 Подписывайтесь на Администрацию Запорожской области в MAX
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Специалисты рекомендуют снабдить одежду ребенка световозвращяющими элементами. Закрепленные на рюкзаке, куртке и даже обуви, они помогут автомобилисту вовремя увидеть юного …
Полезная информация для жителей Запорожской области
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Минздрав информирует: за прошлые сутки в Запорожской области на свет появилось 6 детей
Из них:
мальчиков — 2
девочек — 4
#Медицина
💪 Подписывайтесь на Администрацию Запорожской области в MAX
❤4
Showing the 12 most recent of 169 posts we hold for @zap_admin. 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.
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
Named by 11 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Балицкий Евгений @BalitskyEV · 59,603 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 22 August 2026
Будем жить 🎶 @budem_zhit · 24,732 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 15 September 2026
Запорожское Агентство Новостей @zonewsru · 30,006 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 8 September 2026
Мелитополь @melitopoladmin · 56,856 Telegram ranks this channel #22 of 42 here — alongside 41 others — read 23 August 2026
ЗaТВ. Новости Запорожской области @za_tv_ru · 27,126 Telegram ranks this channel #23 of 79 here — alongside 78 others — read 11 September 2026
Бердянск. Официально @glava_brd · 30,322 Telegram ranks this channel #23 of 54 here — alongside 53 others — read 7 September 2026
ЗАПОРОЖСКИЙ ВЕСТНИК @zpvestnik · 59,179 Telegram ranks this channel #23 of 79 here — alongside 78 others — read 22 August 2026
Запорожский Телеграф @zo_telegraf · 42,533 Telegram ranks this channel #25 of 67 here — alongside 66 others — read 29 August 2026
Главное в Бердянске @berdyansk_ru · 37,136 Telegram ranks this channel #26 of 85 here — alongside 84 others — read 1 September 2026
Бердянск.Актуально @o_brd · 21,358 Telegram ranks this channel #31 of 52 here — alongside 51 others — read 23 September 2026
Срочно Мелитополь @srochno_melitopoll · 40,555 Telegram ranks this channel #32 of 48 here — alongside 47 others — read 30 August 2026
Новый Мелитополь @NowMelitopol · 30,201 Telegram ranks this channel #34 of 48 here — alongside 47 others — read 7 September 2026
Главное в Мелитополе @melitopol_ru · 102,370 Telegram ranks this channel #37 of 73 here — alongside 72 others — read 15 August 2026
Запорожский Важный @MELITOPOL_185 · 29,406 Telegram ranks this channel #39 of 74 here — alongside 73 others — read 8 September 2026
На самом деле в Запорожье @nsdelzap1 · 55,586 Telegram ranks this channel #47 of 89 here — alongside 88 others — read 23 August 2026
Главное в Энергодаре @energodar_ru · 36,138 Telegram ranks this channel #56 of 87 here — alongside 86 others — read 1 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
2 Wikidata items name this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Администрация Запорожской области” (@zap_admin), 10,198 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/zap_admin.
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.