Politics & activism — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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 1 other registered channel. They sit inside a group of 377 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 (4 of the pairs behind the counts below)
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 27 July 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 377, the earliest publisher we hold is @mash. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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 376 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.
326 more channels are in this same group but not listed individually here.
Growth
9 measurements spanning 7 days, net -610. 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 467,407–468,200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 16:14
467,498
-165
11 Aug 2026, 16:25
467,663
-99
10 Aug 2026, 15:28
467,762
-55
9 Aug 2026, 16:37
467,817
-64
8 Aug 2026, 19:55
467,881
-69
7 Aug 2026, 16:20
467,950
-92
6 Aug 2026, 19:10
468,042
-66
6 Aug 2026, 00:42
468,108
no change
5 Aug 2026, 22:00
468,108
first reading
Engagement
37 posts held, back to 27 July 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
11.7%
avg views ÷ 467,498 subscribers
Avg views / post
54,700
37 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
37
of 37 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 12 August 2026
Posts held
37 (27 July 2026 – 12 August 2026)
Views total
2,022,140
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:38 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
≈5,450
Videos
≈2,900
Links
≈4,830
Lifetime counters from Telegram’s own channel header, read 12 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
5h 33m
Average length
37m 04s
Measured directly from 9 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.
⚡️ Комментарий официального представителя МИД России М.В.Захаровой в связи с действиями киевского режима в Азово-Черноморской акватории, подрывающими глобальную продовольственную безопасность (12 августа 2026 года)
💬 В течение лета киевский режим, используя полученные от стран НАТО и ЕС беспилотные системы и разведданные, наращивает атаки на прибрежную транспортно-логистическую инфраструктуру и гражданские суда в Аз…
Россия системно и последовательно ведёт работу по обменному процессу
Совместно с Минобороны России и профильными службами мы регулярно передаём украинской стороне списки наших граждан, которых ждут дома. Однако, к сожалению, Киев зачастую отказывается от тех предложений, которые мы направляем, — они не хотят забирать всех своих ребят и, что самое главное, не спешат возвращать наших.
Так и произошло в очередной раз.…
🎙 Радио Sputnik. Эфир от 12 августа
Сегодня подробно поговорили об опасных тенденциях в западном медиапространстве и, в частности, об «отличившемся» немецком журналисте Михаэле Мартенсе, который, будучи наследником гитлеровских идей, не постеснялся спросить другого отъявленного нациста — Зеленского, как можно убивать «ещё больше русских».
Отдельно разобрали возвращение Германии и Японии к практикам, от которых их, …
Две бывшие страны Оси в июле синхронно вернулись к практикам, от которых их принудительно отучили в 1945-м.
Бундестаг Германии принял новый закон о федеральной полиции — её самая масштабная реформа с 1994 года.
Бундесполиция получила следующие новые полномочия: распознавание лиц в реальном времени на вокзалах и в аэропортах, ИИ-анализ поведения толпы, проверка документов без каких-либо оснований для подозрения, про…
🔤🔤🔤🔤🔤🔤
🎙🎧 Друзья, сегодня вечером в моей программе «Вам слово! С Ириной Волк» замечательная гостья – официальный представитель МИД России, а ещё просто невероятная женщина и талантливый поэт – Мария Захарова.
👉 Вы узнаете, с какой фразы начиналась ее карьера в МИДе, почему поэзию она сравнивает с математическими формулами, как была написана песня «Верните память» и о чем мечтает Мария Захарова.
📌 Программа выйдет …
⚡️ Комментарий официального представителя МИД России М.В.Захаровой в связи с гибелью иностранных граждан в результате террористического удара ВСУ по Нижнекамску (10 августа 2026 года)
Вследствие террористической атаки киевского режима на гражданские объекты в Нижнекамске в Татарстане 10 августа погибли по меньшей мере 13 человек, большинство из которых – иностранные граждане (по предварительной информации, 8 граждан…
⚡️ Комментарий официального представителя МИД России М.В.Захаровой в связи с террористическими ударами ВСУ по Белгороду и Нижнекамску (10 августа 2026 года)
💬 В ночь с 8 на 9 августа терпящие поражение на фронте киевские неонацисты решили вновь отыграться на мирном населении, атаковав дронами жилой сектор Белгорода.
В результате ударов погибли шесть мирных жителей, пострадали 27 человек, включая мальчиков четырёх и…
Пресс-конференцию Вучича и Зеленского 8 августа в Белграде в коричневые цвета окрасил представитель германской газеты FAZ Михаэль Мартенс. Его вопрос звучал так: «Можете ли вы сказать нам, европейцам, что конкретно мы можем сделать, чтобы помочь вам убить больше русских? Конечно же, больше русских солдат».
Чтобы не осталось никаких сомнений в мотивах провокации, в своём аккаунте в соцсетях он уточнил: «Нет ничего ск…
Самоуничижительное замалчивание руководством Японии того, кто сбросил атомные бомбы на Хиросиму и Нагасаки, стало поводом… для насмешек самих американцев. Думаю, логика такая: раз японская элита сама участвует в переписывании собственной истории, почему бы не поглумиться над японцами всем вместе.
Перед вами эпизод из «Южного парка», где император Акихито с гордостью демонстрирует фотографию отбомбившего по Хиросиме …
Showing the 12 most recent of 37 posts we hold for @mariavladimirovnazakharova. 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
@mariavladimirovnazakharova edited 1 post 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
9 August 2026
Most recent edit
9 August 2026
Citation-graph rank
Citation-graph rank — 227 of 1,151,006entries 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
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 260 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@mariavladimirovnazakharova named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@radio_sputnik named in 8 posts, 8 August 2026 – 12 August 2026
@rt_russian named in 1 post, 12 August 2026 – 12 August 2026
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 10 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.
ЗАРУБИН @zarubinreporter · 461,505 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 10 August 2026
Вячеслав Володин @vv_volodin · 1,302,806 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 8 August 2026
Дмитрий Медведев @medvedev_telegram · 1,717,717 Telegram ranks this channel #4 of 91 here — alongside 90 others — read 8 August 2026
Вован и Лексус @Russiacalling · 174,820 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 12 August 2026
Маргарита Симоньян @margaritasimonyan · 515,947 Telegram ranks this channel #12 of 92 here — alongside 91 others — read 9 August 2026
БЕСОГОН @nikitabsg · 393,131 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 10 August 2026
ГАСПАРЯН @ASGasparyan · 176,652 Telegram ranks this channel #15 of 89 here — alongside 88 others — read 12 August 2026
Кремль. Новости @news_kremlin · 283,497 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 10 August 2026
Константин Малофеев @kvmalofeev · 1,324,056 Telegram ranks this channel #18 of 90 here — alongside 89 others — read 9 August 2026
Президент Гордон @prezidentgordon · 162,218 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 12 August 2026
Комсомольская правда: KP.RU @truekpru · 277,757 Telegram ranks this channel #27 of 86 here — alongside 85 others — read 10 August 2026
Захар Прилепин @zakharprilepin · 227,039 Telegram ranks this channel #32 of 90 here — alongside 89 others — read 11 August 2026
Война с фейками @warfakes · 388,794 Telegram ranks this channel #33 of 88 here — alongside 87 others — read 10 August 2026
Сергей Михеев @ironlogica · 212,338 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 11 August 2026
Ещё главу и спать | Литература @knigi_literatura · 263,675 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 10 August 2026
Александр Хинштейн @Hinshtein · 217,528 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 11 August 2026
Kadyrov_95 @rkadyrov_95 · 2,108,479 Telegram ranks this channel #36 of 85 here — alongside 84 others — read 7 August 2026
ШЕЙНИН @GardeZ66 · 254,292 Telegram ranks this channel #42 of 91 here — alongside 90 others — read 10 August 2026
СЛУЦКИЙ @slutsky_l · 219,259 Telegram ranks this channel #45 of 94 here — alongside 93 others — read 11 August 2026
Сладков+ @sladkov_plus · 700,975 Telegram ranks this channel #46 of 87 here — alongside 86 others — read 8 August 2026
Правительство России @government_rus · 168,615 Telegram ranks this channel #47 of 93 here — alongside 92 others — read 12 August 2026
Скабеева @skabeeva · 220,381 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 11 August 2026
Скурлатов live @skurlatovlive · 1,043,750 Telegram ranks this channel #48 of 91 here — alongside 90 others — read 12 August 2026
Kotsnews @sashakots · 476,342 Telegram ranks this channel #48 of 87 here — alongside 86 others — read 10 August 2026
This channel appears in 77 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
27 domainsthis 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.
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
2 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.
Nadya Tolokonnikova(en.wikipedia.org) “…url=https://t.me/MariaVladimirovnaZakharova/3741 |access-date=September 27, 2022|archive-url=https://web.archive.org/web/20220927024801/https://t.me/…” read 9 August 2026
Sarah Ashton-Cirillo(en.wikipedia.org) “…|url=https://t.me/MariaVladimirovnaZakharova/2443 |access-date=17 November 2022 |archive-url=https://web.archive.org/web/20220610045243/https://t.me/…” read 9 August 2026
Hacker News
This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Мария Захарова” (@mariavladimirovnazakharova), 467,498 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mariavladimirovnazakharova.
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.
