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Channel

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@melitopol_ru

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

102,734subscribers

+1,427 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001798592301
TypeChannel
Username@melitopol_ru
DescriptionСМИ Мелитополя и Запорожской области. Главные новости региона Наш новый чат области: t.me/zaporozhskaya_obl_chat Обратная связь @glavnoe_v_melitopole Номер заявления при регистрации в реестре РКН: 7065746175 VK11622 #82XS3
Created7 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/melitopol_ru

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 5 other registered channels. They sit inside a group of 9 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@melitopol_ru/32014 · this entry5 Aug 2026, 13:24 UTC@polohy_ru/174435 Aug 2026, 13:24 UTC1.00under a minute
@melitopol_ru/32019 · this entry5 Aug 2026, 15:59 UTC@polohy_ru/174465 Aug 2026, 15:59 UTC1.00under a minute
@melitopol_ru/32039 · this entry6 Aug 2026, 13:04 UTC@polohy_ru/174626 Aug 2026, 13:04 UTC1.00under a minute
@melitopol_ru/32045 · this entry6 Aug 2026, 17:31 UTC@polohy_ru/174696 Aug 2026, 17:31 UTC1.00under a minute
@melitopol_ru/32049 · this entry7 Aug 2026, 07:46 UTC@polohy_ru/174727 Aug 2026, 07:46 UTC1.00under a minute
@melitopol_ru/32058 · this entry7 Aug 2026, 11:38 UTC@polohy_ru/174777 Aug 2026, 11:38 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@polohy_ru39 (8/8 hand-verifiable sample passed)1.00under a minute@polohy_ru (372)
@tokmak_ru39 (8/8 hand-verifiable sample passed)1.00under a minute@tokmak_ru (363)
@energodar_ru39 (8/8 hand-verifiable sample passed)1.00under a minute@energodar_ru (354)
@berdyansk_ru39 (8/8 hand-verifiable sample passed)1.00under a minute@berdyansk_ru (372)
@hersonruss11 (8/8 hand-verifiable sample passed)1.00under a minute@hersonruss (74)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 96 of the 152 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 51 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 9, the earliest publisher we hold is @berdyansk_ru. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 8 other registered channels, 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.

Growth

101,093102,734101,913.56 August 2026 — 101,307 subscribers6 August 2026 — 101,093 subscribers7 August 2026 — 101,604 subscribers8 August 2026 — 102,051 subscribers9 August 2026 — 101,627 subscribers10 August 2026 — 101,572 subscribers11 August 2026 — 101,693 subscribers12 August 2026 — 102,346 subscribers14 August 2026 — 102,734 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +1,427. 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 100,847–102,980 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 03:06102,734+388
12 Aug 2026, 19:14102,346+653
11 Aug 2026, 15:52101,693+121
10 Aug 2026, 17:41101,572-55
9 Aug 2026, 20:12101,627-424
8 Aug 2026, 19:50102,051+447
7 Aug 2026, 20:24101,604+511
6 Aug 2026, 22:42101,093-214
6 Aug 2026, 02:37101,307first reading

Engagement

153 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.5%
avg views ÷ 102,734 subscribers
Avg views / post
20,100
153 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
153
of 153 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
WindowRolling 30 days · latest post in window 14 August 2026
Posts held153 (5 August 202614 August 2026)
Views total3,069,948
Reactions total31,952
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 07:41 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
14,600
Videos
8,200
Links
6,250

Lifetime counters from Telegram’s own channel header, read 14 August 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
26m 33s
Average length
1m 12s

Measured directly from 22 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

27,658 reactions across 133 posts, in 11 distinct kinds. The most used accounts for 48.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13,40548.5%
6,19022.4%
👏2,89610.5%
🙏2,0337.35%
😐1,6065.81%
🔥1,1124.02%
🤬3791.37%
😢270.098%
😨40.014%
😱40.014%
🤯20.007%

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 153 of the 153 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 31,952reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 5 August 2026 to 14 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.

Recent posts

14 Aug 2026, 07:34 UTC937 views169 reactionsread 14 August 2026
Photo

👨‍🚒За минувшие сутки в Запорожской области произошло 39 пожаров За вчерашний день было зарегистрировано 62 происшествия. Ликвидировано 39 пожаров. На водных объектах происшествий не произошло. Сотрудники МЧС России для ликвидации последствий ДТП привлекались один раз. Пострадало два человека, один погиб. Подписывайтесь на нас в МАХ

👍8036🔥24🙏17😐12

14 Aug 2026, 07:20 UTC≈3,920 views219 reactionsread 14 August 2026
Video

В России до конца года откроют более 120 объектов дорожной инфраструктуры В 2026 году в эксплуатацию введут свыше 120 объектов дорожной инфраструктуры, включая 66 участков региональных и местных дорог общей протяженностью более 260 км, а также 56 мостов и путепроводов. С начала года уже заработали 14 новых объектов — среди них обновлённое шоссе в Грозном, новый путепровод в Удмуртии и строящаяся городская магистрал

👍10746👏33😐22🤬11

14 Aug 2026, 06:58 UTC≈8,890 views217 reactionsread 14 August 2026
Photo

Прогноз погоды на 14 августа по Запорожской области На территории региона прогнозируется переменная облачность без существенных осадков. Ветер северо-западный и северный, 6–11 м/с. Температура воздуха ночью составит 12…17°, местами до 9°, днем — 22…27°. При этом сохраняется чрезвычайная пожароопасность пятого класса в западных районах и высокая — в юго-восточных и местами в юго-западных районах. Подписывайтесь на

👍10747🔥31😐17🙏15

13 Aug 2026, 18:45 UTC≈16,200 views215 reactionsread 14 August 2026
Photo

Кролик из Запорожской области беззаботно отдыхает Подписчица из Запорожской области поделилась умилительным снимком пушистого животного. Кролик расположился на земле, удобно раскинув задние лапки, и наслаждался вечерним покоем. Присылайте нам фотографии своих питомцев на обратную связь, а мы их опубликуем. Подписывайтесь на нас в MAX

👍10455👏31😐15🙏10

13 Aug 2026, 17:34 UTC≈16,000 views222 reactionsread 14 August 2026
Photo

Юные пловцы из Запорожской области прошли отбор в программу «Олимпийская Академия» Группа спортсменов из Запорожской области успешно отобралась для участия в дополнительной общеразвивающей программе «Олимпийская Академия — модуль „плавание“». С 8 по 28 августа они будут заниматься во Всероссийском детском центре «Смена» в Анапе. Программа поможет юным пловцам глубже понять основы спортивной подготовки, познакомитьс

👍10748👏33🙏22😐12

13 Aug 2026, 16:42 UTC≈16,100 views210 reactionsread 14 August 2026
Photo

Волонтеры передали бойцам Запорожского фронта генератор и запчасти для техники Военнослужащим на Запорожском направлении доставили необходимую гуманитарную помощь. В состав груза вошли бензиновый генератор, запасные части для боевой техники и продовольствие. Акцию организовали местные волонтеры при активной поддержке жителей Мелитопольского района. Бойцы приняли помощь с теплотой и благодарностью. Подписывайтесь н

👍10147🙏31👏21😐10

13 Aug 2026, 15:58 UTC≈9,620 views210 reactionsread 14 August 2026
Photo

Спортсмен из Запорожской области выступил на командном Чемпионате России по легкой атлетике В Краснодаре прошел командный Чемпионат России по легкой атлетике, в котором приняли участие более 500 спортсменов из 48 регионов страны. Соревнования собрали сильнейших атлетов, включая чемпионов и призеров Европы и мира, что подтверждает высокий статус турнира. Запорожскую область представлял Александр Ильницкий — в этом г

👍10251👏31🙏14😐12

13 Aug 2026, 15:39 UTC≈12,000 views227 reactionsread 14 August 2026
Video

Владимир Путин пообщался с экипажем крейсера «Варяг» после учений Тихоокеанского флота Президент России пообедал с моряками ракетного крейсера «Варяг», которые участвовали в масштабных маневрах на Дальнем Востоке. В учениях по обороне морских рубежей, островной зоны и прибрежной территории задействовали свыше 13 тысяч военнослужащих, около 60 кораблей и подводных лодок, а также порядка 30 самолетов, вертолетов и бес

👍11345👏35🙏23😐11

13 Aug 2026, 15:25 UTC≈11,600 views187 reactionsread 14 August 2026

📢Владимир Путин поздравил со 101-летием ветерана Сталинградской битвы Президент России Владимир Путин по телефону поздравил с днем рождения ветерана Великой Отечественной войны Евгения Знаменского, которому 13 августа исполнился 101 год. Глава государства передал ветерану наилучшие пожелания и поблагодарил его за ратный подвиг. Евгений Знаменский участвовал в Сталинградской битве и взятии Берлина. Ранее Путин напра

👍9240🙏28👏18😐9

13 Aug 2026, 15:07 UTC≈11,800 views254 reactionsread 14 August 2026

📢В Запорожской области разработали предложения по развитию экотуризма Единый институт пространственного планирования РФ представил проект, направленный на создание экологических объектов, благоустройство прибрежных зон и сохранение уникальных природных ландшафтов региона. В поселке Кирилловка планируется построить многофункциональный экокомплекс с двумя отелями в деревенском стиле и глэмпингом, благоустроить Атманай

👍12456👏37😐25🤬12

13 Aug 2026, 14:11 UTC≈21,300 views241 reactionsread 14 August 2026
Photo

Более 120 пензенских специалистов участвовали в восстановлении Запорожской области за четыре года С 2022 года в Токмакском и Пологовском округах работали свыше 120 специалистов из Пензенской области. Как сообщил первый заместитель председателя правительства региона-шефа Виктор Кувайцев, часть из них трудятся на постоянной основе с 2023 года. В их числе — врачи, волонтеры и сотрудники МЧС. Медики узких специальносте

👍11653👏36🙏24😐12

13 Aug 2026, 13:48 UTC≈23,600 views176 reactionsread 14 August 2026
Photo

Воспитанники мелитопольского реабилитационного центра посетили экскурсию на кофейное производство Основатель сети кофеен «М-кофе» Никита Чухачев провел для ребят познавательную экскурсию на производственную площадку. Он показал полный цикл подготовки кофейных зерен — от сортировки и обжарки до упаковки, а также рассказал о технологических параметрах, влияющих на вкус. Участники увидели работу оборудования, обсудили

👍8738👏26🙏17😐8

Showing the 12 most recent of 153 posts we hold for @melitopol_ru. 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

Citation-graph rank — 228,625 of 1,340,412entries 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.

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 15 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.

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.

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.

Главное в Херсоне и области
@hersonruss · 301,282
Telegram ranks this channel #37 of 87 here — alongside 86 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

One domainthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

max.ru40 posts · 5 August 2026 – 7 August 2026 · example post

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Главное в Мелитополе” (@melitopol_ru), 102,734 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/melitopol_ru.

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.