Подписывайтесь на наш канал, чтобы увидеть войну нашими глазами – репортажи с передовой СВО, видео боевой работы и огневого поражения противника с БЛА, штурмы позиций противника и многое другое.
Официальный бот обратной связи
@n_m_dnr_bot
Created
19 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 67% 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.
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 in near-verbatim form on 6 other registered channels. This entry also sits inside a group of 42 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 4 of the 4 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 405 comparable posts for this entry, running 3 August 2026 to 10 November 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).
Of the group of 42 channels, the one whose matching posts we hold earliest is @opernn. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 42 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
1 more channel is in this same group but not listed individually here.
Growth
65 measurements spanning 97 days, net -777. 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 47,215–48,282 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 06:29
47,382
-19
9 Nov 2026, 11:47
47,401
-7
8 Nov 2026, 06:28
47,408
-9
7 Nov 2026, 04:37
47,417
-10
6 Nov 2026, 01:01
47,427
+40
4 Nov 2026, 22:45
47,387
-6
3 Nov 2026, 21:46
47,393
-9
2 Nov 2026, 20:17
47,402
-3
1 Nov 2026, 20:59
47,405
+9
31 Oct 2026, 18:59
47,396
+51
30 Oct 2026, 20:44
47,345
+7
29 Oct 2026, 19:29
47,338
-2
28 Oct 2026, 18:41
47,340
-7
27 Oct 2026, 18:57
47,347
-9
26 Oct 2026, 19:16
47,356
-9
25 Oct 2026, 17:30
47,365
-5
24 Oct 2026, 17:48
47,370
-13
23 Oct 2026, 20:26
47,383
-10
22 Oct 2026, 17:49
47,393
-20
21 Oct 2026, 12:00
47,413
first reading
Engagement
408 posts held, back to 3 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 195 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.56%
avg views ÷ 47,382 subscribers
Avg views / post
2,160
138 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
138
of 408 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 11 November 2026
Posts held
408 (3 August 2026 – 11 November 2026)
Views total
298,341
Reactions total
4,244
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 09:40 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
Photos
≈2,600
Videos
≈6,710
Links
≈8,440
Lifetime counters from Telegram’s own channel header, read 11 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
5h 57m
Average length
55s
Measured directly from 388 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
13,993 reactions across 403 posts, in 5 distinct kinds. The most used accounts for 57.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
8,091
57.8%
👍
5,264
37.6%
👎
499
3.57%
😢
112
0.8%
😱
27
0.193%
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 408 of the 408 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 14,218 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 408 most recent posts we hold, published 3 August 2026 to 11 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 138 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).
📹 150 мсд уничтожила ПВД, антенну связи и два Starlink ВСУ
Военнослужащие 150 мотострелковой дивизии 8 гвардейской общевойсковой армии в районе н.п. Райское уничтожили пункт временной дислокации, антенну связи и два терминала Starlink ВСУ. Поражение этих объектов осложняет размещение подразделений противника и затрудняет передачу информации и управление силами.
Подписывайтесь на телеграмм канал Народная милиция ДНР…
📹 150 мсд уничтожила БЛА «Баба Яга» ВСУ в районах Полтавки и Торецкого
Военнослужащие 150 мотострелковой дивизии 8 гвардейской общевойсковой армии уничтожили тяжёлые беспилотники «Баба Яга» противника в районах Полтавки и Торецкого. Ликвидация вражеских БЛА снижает угрозу для российских военнослужащих и ограничивает возможности ВСУ по ведению разведки и нанесению ударов.
Подписывайтесь на телеграмм канал Народная м…
📹 238 бригада поразила личный состав ВСУ в районе Райского
Военнослужащие 238 гвардейской артиллерийской бригады 8 гвардейской общевойсковой армии поразили личный состав противника в районе Райского. Поражение живой силы осложняет дальнейшие действия украинских подразделений на данном участке.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
Новогодняя «тишина» на подступах к Донецку
Конец декабря 2018-го. Район Спартака, это буквально городская черта Донецка. В Украине только что закончилось военное положение, введённое после инцидента в Керченском проливе. Впереди президентские выборы. А на линии соприкосновения очередное перемирие, на этот раз новогоднее.
К тому моменту за годы конфликта договорённостей о прекращении огня набралось почти три десятка…
📹 150 мсд уничтожила два ПУ БЛА ВСУ
Военнослужащие 150 мотострелковой дивизии 8 гвардейской общевойсковой армии в районах н.п. Горняк и Донское уничтожили два пункта управления беспилотными летательными аппаратами ВСУ. Ликвидация объектов управления затрудняет применение украинских беспилотных систем.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
#СВОйПуть
Александр Кофман — председатель Общественной палаты ДНР, член Союза писателей России, житель Донецка. Он убеждён, что уважение к своей истории, памяти предков и их подвигам является основой национального самосознания. По его словам, именно тогда, когда на Украине начали пересматривать отношение к ветеранам и исторической памяти, стало очевидно, что обществу предстоит борьба за собственные ценности. Александ…
📹 «Охотник» уничтожил 3 ББМ ВСУ
Операторы отдельного отряда специального назначения «Охотник» 51 гвардейской общевойсковой армии уничтожили 3 боевые бронированные машины ВСУ. Одну из поражённых целей подтвердили сами украинские боевики на видео. Уничтожение ББМ снижает боевые возможности противника.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
📹 150 мсд уничтожила антенны связи ВСУ
Военнослужащие 150 мотострелковой дивизии 8 гвардейской общевойсковой армии в районах н.п. Старорайское и Камышеваха уничтожили антенны связи ВСУ. Поражение элементов системы связи ограничивает возможности противника по обмену информацией и управлению подразделениями.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
📹 224 оптадн уничтожил БЛА «Баба Яга» ВСУ
Военнослужащие 224 оптадн уничтожили тяжёлый беспилотник «Баба Яга» противника в районе Октябрьского. Уничтожение вражеского БЛА снижает угрозу для российских военнослужащих и ограничивает возможности ВСУ по ведению разведки и нанесению ударов.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
#СВОйПуть
Анна Артеева — руководитель донецкого регионального отделения Всероссийского студенческого корпуса спасателей. Вместе со студентами она помогает мирным жителям и участвует в восстановительных работах на пострадавших территориях. Сейчас одно из таких направлений — восстановление храма, который для многих людей стал не только святыней, но и местом, где можно было найти поддержку и укрытие в самые тяжёлые моме…
📹 Кубанские артиллеристы уничтожили антенны связи ВСУ
Военнослужащие 238 гвардейской артиллерийской бригады 8 гвардейской общевойсковой армии уничтожили антенны связи противника в районах Горняка и Старорайского. Ликвидация средств связи затрудняет передачу информации и координацию действий украинских подразделений
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
📹 Операторы дронов 51 армии поразили технику ВСУ в районе Копани
Операторы беспилотных систем 51 гвардейской общевойсковой армии поразили технику противника в районе Копани. Уничтожение техники снижает возможности украинских подразделений по обеспечению и выполнению задач на данном участке.
Подписывайтесь на телеграмм канал Народная милиция ДНР, чтобы увидеть войну нашими глазами
👍17🔥12👎1
Showing the 12 most recent of 408 posts we hold for @nm_dnr. 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 1 post on @nm_dnr 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
14 September 2026
Most recent seen missing
14 September 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 51 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 76 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Сыны Отечества|Новости ЛНР здесь! @sons_fatherland · 20,781 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 27 September 2026
Online ДНР: атаки ВФУ @online_dnr_sckk · 25,687 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 13 September 2026
ЖОГА @zhogaartem · 40,389 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 30 August 2026
Штаб Обороны ДНР @TRO_DPR · 28,022 Telegram ranks this channel #31 of 94 here — alongside 93 others — read 10 September 2026
This channel appears in 4 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
A Wikidata item names 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.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
6 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
10th Separate Guards Tank Battalion(en.wikipedia.org) “…Tank Battalion.{{Cite web |title=Народная милиция ДНР |url=https://t.me/nm_dnr/10136 |access-date=2024-04-17 |website=Telegram}}
==References==…” read 1 November 2026
51st Guards Combined Arms Army(en.wikipedia.org) “…Battalion "Diesel"){{cite web |title=Народная милиция ДНР |url=https://t.me/nm_dnr/10136}}
* Separate Commandant's Regiment
*…” read 1 November 2026
10-й отдельный гвардейский танковый батальон(ru.wikipedia.org) “…батальона поддерживают продвижение пехоты на Авдеевском направлении|url=https://t.me/nm_dnr/10136|publisher=Народная милиция ДНР|date=2023-04-05|access-date=…” read 1 November 2026
Звоник, Дан Русланович(ru.wikipedia.org) “…международных законов об обращении с пленными»{{cite web|url=https://t.me/nm_dnr/7684|title=Пятеро украинских военнослужащих сложили оружие и вышли…” read 1 November 2026
10-й окремий танковий батальйон (РФ)(uk.wikipedia.org) “…танковий батальйон{{Cite web |title=Народная милиция ДНР |url=https://t.me/nm_dnr/10136 |access-date=2024-04-17 |website=Telegram}}.
== Втрати…” read 1 November 2026
Втрати 5-ї окремої мотострілецької бригади «Оплот»(uk.wikipedia.org) “…гибели иностранного наёмника Ганса #Динер'а от бакланинформбюро https://t.me/nm_dnr/7084 #груз200 #роа #чотаржу]||м. [[Маріуполь]]||10.09.1977||13…” read 1 November 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Народная милиция ДНР” (@nm_dnr), 47,382 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/nm_dnr.
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.