Про политику, простым языком о сложном. Контрпропаганда и интерпретация новостей.
Группа в ВК - https://vk.com/nikotindmitry
Только по рекламе:
@manager_dnikotin
РКН: https://knd.gov.ru/license?id=672c7991db0c1931b146fbf1®istryType=bloggersPermiss
Created
24 June 2016 — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 25% 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. 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)
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 49 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 2, the earliest publisher we hold is @dmitrynikotin — which is this entry. 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 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
30 measurements spanning 32 days, net -3,304. 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 682,078–686,374 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
6 Sept 2026, 23:17
682,574
-210
4 Sept 2026, 12:38
682,784
-194
3 Sept 2026, 00:19
682,978
-129
1 Sept 2026, 21:43
683,107
-118
31 Aug 2026, 19:43
683,225
-167
30 Aug 2026, 17:16
683,392
-98
29 Aug 2026, 15:54
683,490
-87
28 Aug 2026, 18:42
683,577
-136
27 Aug 2026, 17:28
683,713
-74
26 Aug 2026, 15:43
683,787
+31
25 Aug 2026, 17:36
683,756
-59
24 Aug 2026, 20:44
683,815
-218
23 Aug 2026, 04:24
684,033
-146
21 Aug 2026, 16:47
684,179
-119
20 Aug 2026, 15:42
684,298
-164
19 Aug 2026, 13:52
684,462
-125
18 Aug 2026, 11:22
684,587
-123
17 Aug 2026, 10:26
684,710
-54
15 Aug 2026, 18:24
684,764
-141
14 Aug 2026, 08:19
684,905
first reading
Engagement
881 posts held, back to 5 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.0%
avg views ÷ 682,574 subscribers
Avg views / post
95,700
804 posts measured
Reaction rate
1.97%
reactions ÷ views · ER floor
Posts in window
804
of 881 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 803 of 804 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 7 September 2026
Posts held
881 (5 August 2026 – 7 September 2026)
Views total
76,952,740
Reactions total
1,513,425
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 14:01 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
≈18,600
Videos
≈10,000
Links
≈32,300
Lifetime counters from Telegram’s own channel header, read 7 September 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
1h 39m
Average length
46s
Measured directly from 129 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
1,652,808 reactions across 859 posts, in 18 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
375,763
22.7%
🤣
348,073
21.1%
👍
192,799
11.7%
🔥
108,976
6.59%
🥴
102,355
6.19%
❤
91,868
5.56%
😁
85,556
5.18%
custom 5231392938168182916
81,491
4.93%
🙏
77,278
4.68%
💯
74,337
4.50%
😱
43,227
2.62%
😭
28,613
1.73%
custom 5386483678945770914
14,363
0.869%
custom 5451734295280381968
10,954
0.663%
🍾
8,374
0.507%
👏
5,893
0.357%
custom 5397641458519919785
2,083
0.126%
custom 5188240907824012173
805
0.049%
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 880 of the 881 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 1,688,436 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 881 most recent posts we hold, published 5 August 2026 to 7 September 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
1,042
across the posts below
Posts paid on
204
of 881 we hold a reading for · 23%
Most on one post
452
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dmitrynikotin. 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 881 most recent posts we hold for this entry, published 5 August 2026 to 7 September 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.
Advertising
Ad load
0.114%
1 of 881 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
87,400
over 1 measured post
Median views · rest
102,000
over 880 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFKAP9Rs
1
2 September 2026
2 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 881 most recent posts we hold, published 5 August 2026 to 7 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🎞🔔Новый #Выпуск 7 сентября уже можно посмотреть.
ПУТИН И АМЕРИКАНЦЫ. МИРА НЕ БУДЕТ. ТРИУМФ ПРАВЫХ: ГЕРМАНИЯ, ФРАНЦИЯ, ИСПАНИЯ.
📺https://rutube.ru/video/a0e560f3f1d31faf50c144245a2ae03b/
❤️Поддержать канал рублем, заранее спасибо - https://pay.cloudtips.ru/p/5c24c9fa
🔥🇷🇺Заказать мои фирменные футболки и свитшоты из выпусков можно тут - https://nikotinshop.ru
➡️Хочешь задать свой вопрос, послушать эксклюзивные ауд…
❗️Посланники Трампа привезли в Москву и Киев обновлённые мирные предложения по Украине
По сообщению Financial Times, Стив Уиткофф и Джаред Кушнер привезли на встречи в Москве и Киеве обновлённые версии ранее составленных документов по урегулированию конфликта. Тексты были скорректированы с учётом изменений ситуации после того, как в феврале переговоры зашли в тупик.
Как утверждают источники издания, знакомые с ходо…
Партия «Альтернатива для Германии» будет добиваться восстановления отношений с Россией и изменения санкционной политики, сообщил сопредседатель АдГ Тино Хрупалла после победы на выборах в ландтаг Саксонии-Анхальт.
«Мы хотим, чтобы у нас снова были хорошие отношения с Россией», — сказал он в эфире ARD.
Победа партии «Альтернатива для Германии» на региональных выборах в немецкой земле Саксония-Анхальт — это «тектонический сдвиг в партийной системе», заявил канцлер Германии Фридрих Мерц.
«Это потрясло нашу партию до основания. Мы не можем просто вернуться к прежнему положению дел, ни я, ни федеральное правительство», — прокомментировал он.
Фридрих Мерц также заявил, что его партии «не удалось установить эмоциональ…
🇨🇳В Китае предложили убрать английский язык из учебной программы. Известный педагог Тан Цзяфэн считает, что часы, отведенные на английский язык, лучше отдать истории. По его мнению, английский после школы пригодится единицам, а знание прошлого формирует национальное самосознание. Дискуссия уже вышла в топ китайского Weibo.
В Москве открыли новую линию метро и и на одной из станций поставили лавочки, которые некоторым пользователям в соцсетях напоминают гробы.
СМИ в материалах о новых станциях пишут о «лаконичном дизайне» и «минималистичных скамейках».
🇷🇺Дмитрий Никотин. Подпишись на МАХ канал!
Китай якобы просил Украину не бить по Владивостоку, куда на прошлой неделе на Восточный экономический форум приезжал вице-премьер КНР, сообщает японская газета Kyodo News со ссылкой на источники.
По их данным, Украина пообещала удары не наносить.
🇷🇺Дмитрий Никотин. Подпишись на МАХ канал!
Нейросеть покажет тюремный срок за написанное в интернете — Android-клавиатуру с такой функцией создал разработчик. При вводе текста алгоритм сканирует на нарушение законов РФ и прикидывает, какие сроки можно получить.
🇷🇺Дмитрий Никотин. Подпишись на МАХ канал!
До двух увеличилось число погибших в результате атаки БПЛА в Севастополе.
Об этом сообщил губернатор Развожаев. Ночью скончалась девочка 2011 года рождения, она получила осколочные ранения. По словам губернатора, беспилотник был начинен взрывчаткой и металлическими поражающими элементами.
Сегодня Развожаев сообщил, что в больнице умер один из пострадавших, который находился в коме.
18-летняя девушка и ее 16-летний…
Администрации Трампа отказалась увеличивать военную помощь Украине, а также поставлять ракеты для Patriot, если Киев не пойдёт на соглашение о прекращении огня к ноябрю - СМИ.
Верим?
Showing the 12 most recent of 881 posts we hold for @dmitrynikotin. 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.
Posts edited after publishing
@dmitrynikotin 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
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 31 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
1
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
1
vacant every time we have ever looked
@dmitrynikotin named 1 handle 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 1 post, 7 September 2026 – 7 September 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 8 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.
Парламент с Кнопкой @parbut · 33,176 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 4 September 2026
ЗАУГЛОМ @ZaUglom2024 · 56,528 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 23 August 2026
Мисливец Егор @socedinstvo · 184,041 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 11 August 2026
Дмитрий Василец @VasiletsDmitriy · 350,922 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 10 August 2026
Объективный Евген @Truevgen · 42,517 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 29 August 2026
ОСОБОЕ МНЕНИЕ @osob_mnenie · 57,792 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 23 August 2026
Антон Шабашов @antohakrasava · 37,813 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 31 August 2026
Включай Мозги @chelovek_kotoryi · 54,031 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 24 August 2026
Американский журналист на русском @taker_russ · 101,548 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 15 August 2026
СЛОВО ПАЦАНА @slovopatsana · 308,098 Telegram ranks this channel #6 of 84 here — alongside 83 others — read 14 August 2026
Шейх Тамир @sheyhtamir1974 · 377,959 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 10 August 2026
Fox News Russia @Putin_tramp_mobilizaciya_migrant · 268,837 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 14 August 2026
Пригожин 2023 @prigozhin_2023_tg · 118,784 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 14 August 2026
Пономарь @ponomarb1 · 127,442 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 13 August 2026
#МОНТЯН! @montyan2 · 302,783 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 10 August 2026
Павел Иванов | Аудио статьи @a_articles · 109,597 Telegram ranks this channel #8 of 88 here — alongside 87 others — read 14 August 2026
ПАНЧЕНКО @panchenkodi · 406,810 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 10 August 2026
Шестой день | ROMAN ROMANOV @dies6 · 30,549 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 7 September 2026
ТриДевятое Царство 👑 @Carstvo_39 · 36,901 Telegram ranks this channel #9 of 84 here — alongside 83 others — read 1 September 2026
BUYAN - Чё там в мире? | Мировые новости @buyanTime · 113,792 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 14 August 2026
Zuben_co Новости @zuben_co · 122,090 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 13 August 2026
Книжный день @knijnij_den · 46,274 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 27 August 2026
Экономист @economistg · 175,689 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 12 August 2026
WALK&TALK @walkandtalke · 58,048 Telegram ranks this channel #13 of 92 here — alongside 91 others — read 23 August 2026
This channel appears in 136 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
One domain this 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 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 6 September 2026 — this
entry's latest reading, not the date you are reading this.
“Дмитрий Никотин” (@dmitrynikotin), 682,574 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/dmitrynikotin.
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.