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 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 1 other registered channel. This entry also sits inside a group of 3 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 (3 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. None of the 2 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 32 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @kapibar_books. That is a statement about our reading window, not a claim of authorship.
Recorded under the key 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.
Channels linked by matching posts
This channel is in a group of 3 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.
60 measurements spanning 96 days, net -138. 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 19,335–19,810 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
9 Nov 2026, 22:34
19,484
+23
8 Nov 2026, 16:55
19,461
+3
7 Nov 2026, 07:49
19,458
-13
6 Nov 2026, 06:56
19,471
-5
3 Nov 2026, 23:56
19,476
-8
3 Nov 2026, 02:49
19,484
-6
2 Nov 2026, 00:59
19,490
-3
1 Nov 2026, 03:10
19,493
-4
31 Oct 2026, 02:20
19,497
+1
30 Oct 2026, 05:41
19,496
-1
29 Oct 2026, 06:21
19,497
-10
28 Oct 2026, 04:57
19,507
+2
26 Oct 2026, 02:08
19,505
+39
25 Oct 2026, 02:59
19,466
-4
24 Oct 2026, 06:28
19,470
+37
23 Oct 2026, 08:17
19,433
+41
22 Oct 2026, 06:30
19,392
-6
20 Oct 2026, 20:57
19,398
-2
19 Oct 2026, 18:18
19,400
+8
18 Oct 2026, 20:37
19,392
first reading
Engagement
415 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.3%
avg views ÷ 19,484 subscribers
Avg views / post
2,580
119 posts measured
Reaction rate
5.17%
reactions ÷ views · ER floor
Posts in window
119
of 415 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. It is computed over the 118 of 119 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
415 (5 August 2026 – 10 November 2026)
Views total
307,217
Reactions total
15,868
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 15:44 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
≈12,500
Videos
≈2,770
Links
≈19,600
Lifetime counters from Telegram’s own channel header, read 10 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
2h 13m
Average length
3m 02s
Measured directly from 44 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
57,269 reactions across 401 posts, in 13 distinct kinds. The most used accounts for 39.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
22,682
39.6%
👍
8,450
14.8%
❤
7,194
12.6%
😁
6,897
12.0%
🙏
5,070
8.85%
🔥
3,725
6.50%
👏
1,152
2.01%
⚡
915
1.60%
❤🔥
521
0.91%
🫡
290
0.506%
🏆
274
0.478%
🤝
52
0.091%
👌
47
0.082%
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 413 of the 415 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 58,189 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 415 most recent posts we hold, published 5 August 2026 to 10 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.
Telegram Stars
Stars received
565
across the posts below
Posts paid on
39
of 414 we hold a reading for · 9%
Most on one post
501
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @holmogor_talks. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 415 most recent posts we hold for this entry, published 5 August 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 26 of 119 posts held from the last 30 days (21.8%) 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).
Лучшее в книжной лавке Холмогорова
Книги с автографом:
Фёдор Михайлович Достоевский - Новинка!
Основы российской государственности - народный учебник.
Обществознание - новый школьный учебник с автографом и методическими материалами
Уроки нерассказанной истории - со статьей об ордынских мифах
Николай Гумилёв
Я - русский
Русские. Нация, цивилизация, государственнность...
Истина в кино - II
Цивилизация. Античн…
Ну что ж, по заявкам радиослушателей я добрался до финансовых отчетов полиции Галиции за август 1914 г. (он сохранились, в отличие от финансовой документации разведки). Разумеется Гловиньский никаких 200 крон выданных им Ленину от дирекции полиции Кракова не получал. Это было в принципе и так понятно (поскольку отчет о расходовании этих 200 крон в упоминается регистрационной книге военной разведки); но поскольку мои …
❗️Живущим в России мигрантам следует ассимилироваться в российский быт и культуру, а не оставаться «анклавом, который живет сам по себе», заявила председатель Совфеда Валентина Матвиенко.
Она отметила, что в некоторых странах миграционную политику оставили без должного внимания, и это не привело к хорошим результатам:
«Эта идея мультикультурализма, она не прижилась, к сожалению».
Матвиенко подчеркнула, что законод…
◾️🚩Открытие мемориальной доски выдающемуся русскому экономисту Николаю Кондратьеву (1892-1938). Москва, 9 ноября 2026 года.
В 1920-х гг. Кондратьев разработал теорию больших экономических циклов («циклы Кондратьева»). Был сторонником углубления рыночных механизмов в советской экономике, ратовал за развитие «русских капиталистических предприятий» и крестьянских хозяйств, не отказываясь при этом от плановой модели.
В…
Собственно это ответ на мою критику в закрытом канале толкиновского мира как гностического.
Хотите участвовать в таких утонченных обсуждениях, подписывайтесь через @holmobot
Очередная идеологическая диверсия многонационалов
Узбекская диаспора пролоббировала в Ленобласти памятник узбекам, погибшим во времена Великой Отечественной.
Почему это идеологическая диверсия?
Памятники и названия улиц в стране - это часть патриотического воспитания.
Если ребенок видит памятник или улицу в честь какого-либо человека, он начинает думать, что это человек важный и достойный. Плохому же памятник не по…
На сайте "100 книг" добавлено несколько небольших очерков о книгах.
Валентин Иванов. Желтый металл - легендарный "ксенофобский роман" о подпольной торговле золотом в СССР 1950-х годов.
А.Я. Максимов. Поп Симеон - прекрасный истерн о Дальнем Востоке XIX века.
Г.М. Катков. Дело Корнилова - классическое исследование поворотного эпизода революции 1917 г., когда был утрачен шанс предотвратить катастрофу.
В разделе ки…
По многочисленным просьбам восстановил функционирование лавки на Яндексе.
Ассортимент там будет поменьше, чем на Озоне, но тем не менее - кому удобней заказывать на Яндексе - извольте
https://market.yandex.ru/business--100-knig-kholmogorova/215648553
⠀
🔴 Свидетельства вернувшихся из плена о зверствах украинских неонацистов.
Смотреть на Rutube
Смотреть предыдущие свидетельства
Наш Международный общественный трибунал по преступлениям украинских неонацистов (председатель — М. С. Григорьев) из представителей гражданского общества 35 стран мира продолжает сбор свидетельств преступлений киевского режима.
Российский военнослужащий с позывным "Самурай":
00:00 "Меня…
"Малыш".
Почти год собирался посмотреть. Много раз мне его рекомендовали. Но эмоциональных и физических сил не было. И вот собрался.
Фильм вызвал смешанные чувства.
Во-первых он очень эмоционально нагруженный и даже перегруженный. Реально вызывает очень сильные эмоции.
Во-вторых, он очень хорошо передает атмосферу штурма Мариуполя, как я ее себе представляю и по сми и по фильму Ларкина "Мариуполь - русский город"…
Но чтобы кто чего плохого про советскую власть не подумал, напомню, что сравнимую цифру (от 20 до 50 тыс. расстрелянных) в сравнимый срок - ноябрь 1920 - февраль 1921 коммунисты выдали в Крыму, регионе с меньшим населением - около 1 млн человек.
Так что в целом коммунистические рекорды остаются непревзойденными.
Согласно данным австрийского историка Ханса Хауптмана, за шесть недель от начала войны до освобождения Галиции русскими войсками (август - сентябрь 1914 г.) австрийское власти успели казнить про обвинению в работе на Россию около 30 тысяч галицких русских, в том числе женщин.
Примерно по 5 тысяч человек в неделю.
Примерно по 700 человек в день.
Мы все осуждаем Большой террор и, разумеется, за дело. Но все-таки хоч…
🙏65👍34💯29⚡6❤3🔥3❤🔥2😁1
Showing the 12 most recent of 415 posts we hold for @holmogor_talks. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 415 most recent posts we hold, published 5 August 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 111 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 169 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
4
handles named in this channel’s posts, vacant today
Evidenced gone
2
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@holmogor_talks named 4 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@mnogonazi named in 4 posts, 9 August 2026 – 2 September 2026 · confirmed gone 18 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@bovtznaet named in 2 posts, 12 August 2026 – 13 August 2026 · confirmed gone 5 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@rian_ru named in 2 posts, 6 November 2026 – 7 November 2026
@radio_sputnik named in 2 posts, 21 August 2026 – 4 November 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 1 October 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 Монархии/Роман Антоновский @SonOfMonarchy · 87,680 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 18 August 2026
AGDchan @Agdchan · 98,291 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 16 August 2026
Дмитрий Конаныхин 🇷🇺 @grishkafilippov · 35,788 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 2 September 2026
Константин Малофеев @kvmalofeev · 1,319,066 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 9 August 2026
Комиссар Исчезает @komissarischezaet · 30,985 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 6 September 2026
Историк Дюков @historiographe · 53,113 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 24 August 2026
Дзермант @dzermant · 25,147 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 15 September 2026
Обыкновенный царизм @ordinaryczarizm · 43,501 Telegram ranks this channel #9 of 81 here — alongside 80 others — read 28 August 2026
Марина Ахмедова @Marinaslovo · 98,291 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 16 August 2026
Cogito ergo sum (канал архиепископа Саввы) @kartezianec · 34,302 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 3 September 2026
Кирилл Кабанов @kabanovkv · 52,309 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 24 August 2026
Alex Parker Returns @apwagner_real · 42,098 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 21 August 2026
ЦАРСКИЙ КРЕСТ @tsarkrest · 20,688 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 25 September 2026
Под лед @podled · 34,718 Telegram ranks this channel #19 of 76 here — alongside 75 others — read 3 September 2026
Вадим Трухачёв @vadim_trukhachyov · 21,198 Telegram ranks this channel #20 of 84 here — alongside 83 others — read 24 September 2026
Zlawyers. Русские юристы @zlawyers · 26,873 Telegram ranks this channel #21 of 71 here — alongside 70 others — read 11 September 2026
ИА "Стекломой" @ia_steklomoy · 108,641 Telegram ranks this channel #25 of 85 here — alongside 84 others — read 14 August 2026
Primakov @evgenyprimakov · 19,435 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 30 September 2026
🇷🇺Движение Сорок Сороков Z @sorok40russia · 44,988 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 27 August 2026
АНТОН ВЯЧЕСЛАВОВИЧ @krasovkin · 54,811 Telegram ranks this channel #35 of 90 here — alongside 89 others — read 23 August 2026
Норин @norinea · 40,665 Telegram ranks this channel #39 of 82 here — alongside 81 others — read 30 August 2026
Павел Губарев @pgubarev · 42,049 Telegram ranks this channel #40 of 84 here — alongside 83 others — read 29 August 2026
Костылев @read_kostylev · 25,525 Telegram ranks this channel #41 of 79 here — alongside 78 others — read 9 September 2026
Российская империя @RussischesKaiserreich · 38,975 Telegram ranks this channel #41 of 81 here — alongside 80 others — read 30 August 2026
This channel appears in 36 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.
Referenced elsewhere
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
One Wikipedia article names 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.
Кара-Мурза, Сергей Георгиевич(ru.wikipedia.org) “…Это всё те же кровопийцы, которые не могут быть милее ворюг[https://t.me/holmogor_talks/42606 Telegram: View @holmogor_talks].}}
== Основные…” 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Егор Холмогоров” (@holmogor_talks), 19,484 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/holmogor_talks.
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.