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Channel

Дмитро Чекалкин Новий телеграм-канал

@dmytro_chekalkyn

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

19,480subscribers

+71 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002515489926
TypeChannel
Username@dmytro_chekalkyn
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/dmytro_chekalkyn

Topic

Other / unclassifiable — 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 89% 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 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dmytro_chekalkyn/12296 · this entry5 Aug 2026, 14:04 UTC@BloggerClubSense/30925 Aug 2026, 14:05 UTC1.0072 seconds
@BloggerClubSense/30956 Aug 2026, 11:09 UTC@dmytro_chekalkyn/12321 · this entry6 Aug 2026, 13:32 UTC1.002.4 hours
@dmytro_chekalkyn/12323 · this entry6 Aug 2026, 14:39 UTC@BloggerClubSense/30966 Aug 2026, 14:40 UTC1.0072 seconds
@dmytro_chekalkyn/12326 · this entry6 Aug 2026, 17:25 UTC@BloggerClubSense/30976 Aug 2026, 19:41 UTC1.002.3 hours
@dmytro_chekalkyn/12332 · this entry7 Aug 2026, 04:12 UTC@BloggerClubSense/30987 Aug 2026, 04:31 UTC1.0019 minutes
@dmytro_chekalkyn/12340 · this entry7 Aug 2026, 10:45 UTC@BloggerClubSense/30997 Aug 2026, 10:47 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@BloggerClubSense7 (7/7 hand-verifiable sample passed)1.0019 minutesthis entry (52)
@porohobotchenko7 (7/7 hand-verifiable sample passed)1.0029 minutes@porohobotchenko (52)
@putch1115 (5/5 hand-verifiable sample passed)1.004.0 hours@putch111 (32)

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 7 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 36 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 5, the earliest publisher we hold is @putch111. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · 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 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

19,38119,51219,446.56 August 2026 — 19,409 subscribers6 August 2026 — 19,407 subscribers7 August 2026 — 19,403 subscribers8 August 2026 — 19,401 subscribers9 August 2026 — 19,394 subscribers10 August 2026 — 19,385 subscribers11 August 2026 — 19,384 subscribers12 August 2026 — 19,381 subscribers14 August 2026 — 19,387 subscribers15 August 2026 — 19,403 subscribers16 August 2026 — 19,407 subscribers17 August 2026 — 19,412 subscribers18 August 2026 — 19,415 subscribers21 August 2026 — 19,425 subscribers22 August 2026 — 19,429 subscribers24 August 2026 — 19,440 subscribers25 August 2026 — 19,453 subscribers26 August 2026 — 19,467 subscribers27 August 2026 — 19,470 subscribers28 August 2026 — 19,475 subscribers29 August 2026 — 19,488 subscribers30 August 2026 — 19,492 subscribers31 August 2026 — 19,498 subscribers1 September 2026 — 19,503 subscribers2 September 2026 — 19,507 subscribers5 September 2026 — 19,499 subscribers8 September 2026 — 19,512 subscribers11 September 2026 — 19,507 subscribers13 September 2026 — 19,501 subscribers15 September 2026 — 19,494 subscribers19 September 2026 — 19,480 subscribers19,4806 August 202619 September 2026
31 measurements spanning 44 days, net +71. 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 19,361–19,532 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
19 Sept 2026, 08:3719,480-14
15 Sept 2026, 00:4119,494-7
13 Sept 2026, 06:4119,501-6
11 Sept 2026, 09:3819,507-5
8 Sept 2026, 18:1619,512+13
5 Sept 2026, 08:1619,499-8
2 Sept 2026, 09:4219,507+4
1 Sept 2026, 09:0419,503+5
31 Aug 2026, 09:5219,498+6
30 Aug 2026, 13:1619,492+4
29 Aug 2026, 10:1519,488+13
28 Aug 2026, 07:5319,475+5
27 Aug 2026, 07:4719,470+3
26 Aug 2026, 08:1319,467+14
25 Aug 2026, 05:3719,453+13
24 Aug 2026, 07:5619,440+11
22 Aug 2026, 13:2419,429+4
21 Aug 2026, 02:4419,425+10
18 Aug 2026, 22:3419,415+3
17 Aug 2026, 20:0519,412first reading

Engagement

469 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.1%
avg views ÷ 19,480 subscribers
Avg views / post
4,300
152 posts measured
Reaction rate
13.7%
reactions ÷ views · ER floor
Posts in window
152
of 469 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held469 (5 August 20262 September 2026)
Views total653,114
Reactions total89,709
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:15 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

Video runtime
2h 09m
Average length
1m 23s

Measured directly from 94 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

274,974 reactions across 455 posts, in 27 distinct kinds. The most used accounts for 47.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯129,80047.2%
34,01412.4%
🤬27,77010.1%
🔥14,1655.15%
👏11,7214.26%
😢9,6053.49%
😁7,9982.91%
🤮6,6342.41%
🙏5,7762.10%
🤯5,2511.91%
💔4,4651.62%
🤔4,1871.52%
🤡3,0461.11%
💩2,6840.976%
👌2,5970.944%
🤣2,3370.85%
🤝7450.271%
🫡5220.19%
🥰3760.137%
❤‍🔥3040.111%
7 further kinds9770.355%

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 469 of the 469 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 281,965 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 469 most recent posts we hold, published 5 August 2026 to 2 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.

Recent posts

2 Sept 2026, 20:34 UTC≈2,150 views380 reactionsread 3 September 2026
Forwarded from @MirovichMediaVideo

Новое страшное видео из Бахмута, снятое летом 2026 года. Украинский город был захвачен оккупантами три года назад, и с тех пор продолжает лежать в руинах. В некогда оживлённом городе с 72-тысячным населением больше нет магазинов, школ, детских садов, кафе, больниц, поликлиник. Людей там тоже больше нет. Путинские пропагандоны называют это «освобождением»🤦‍♂️

😢241🤬121🤯18

2 Sept 2026, 20:04 UTC≈2,420 views290 reactionsread 3 September 2026
Forwarded from @VVgorkovenkoPhoto

Навіть сайт "Тисячовесни" протестує. Після закликів до Мінкульту відкрити інформацію про результати відбору «Тисячовесни», на яку з бюджету виділили 4 млрд грн, сайт "Тисячовесна" вже кілька годин як приліг. Напевно, від сорому... Хоча б комусь соромно у цій пральні за розпил державних фінансів в той час, коли не вистачає грошей на Армію...

💯2748👏8

2 Sept 2026, 19:46 UTC≈2,510 views472 reactionsread 3 September 2026
Forwarded from @sam_svitPhoto

📣 - Спробуємо, - пише Олена Кравець - в Івано-Франківську. А це вже «словник стійкості» чи ще ні? Коли десятки років «робила країну разом» з іншою квартальною мерзотою, навіть у «Слузі народу» знялася, а зараз чомусь не подобається у «країні мрії» Зеленського. А що робити глядачам ваших серіалів, пані Олено? Вони також хочуть спробувати де-небудь. Тим більше, що робити неглядачам ваших серіалів, які заздалегідь зн

💯410🤬54🤷‍♂8

2 Sept 2026, 18:59 UTC≈2,970 views180 reactionsread 3 September 2026
Forwarded from @Sofiya_Fedyna

Змістовна розмова вчора була на прямому. І чому не можна робити пленарне онлайн. І про скасування пільг на посилки. І про те, що мала б робити влада в нашій новій реальності. Запрошую до перегляду👇 https://youtu.be/Eh4xOtjw_6E?si=k5fEqhvKUmPK_04f

👌13027👏23

2 Sept 2026, 18:03 UTC≈3,240 views537 reactionsread 3 September 2026
Forwarded from @sam_svitVideo

📣 Щоразу, коли випливають факти колапсу судової системи - вірніше, її ручного управління з кишеньки Зеленського, я думаю: а що така система вчинить зі мною? З будь-якою іншою звичайною людиною - пересічним президентом? ‼️‼️‼️Ніна Южаніна на ТСК під головуванням Ярослава Железняка звертає увагу на записи розмов Мудрої і Микитася 11 квітня цього року щодо залучення Ігоря Дашутіна для впливу на суддів, які розглядали п

🤬489🤯36😱12

2 Sept 2026, 17:02 UTC621 views277 reactionsread 3 September 2026
Forwarded from @prozapas77Photo

Війна перемістилась в небо, тому арта 36 обрмп розширює засоби ураження - для цього створюються розрахунки "Блискавок", яким потрібен транспорт. Долучайтесь до підсилення спроможностей ЗСУ! 🎯 Ціль: 230 000 ₴ 🔗Посилання на Банку https://send.monobank.ua/jar/5QESeCYoBf 💳Номер картки Банки 4874 1000 3256 7169

🙏223🔥3717

2 Sept 2026, 16:55 UTC≈3,620 views231 reactionsread 3 September 2026
Photo

Дивіться прямо зараз о 20.00 за посиланням https://youtube.com/live/2_YvIvGIrkk

😢180🤬42🤮9

2 Sept 2026, 15:59 UTC≈3,750 views246 reactionsread 3 September 2026
Photo

#НевідривнийКалендар 2 вересня 1945 року завершилася Друга світова війна. А ви знали, що від імені СРСР підписав Акт капітуляції Японії — українець? Дізнайтеся більше за цим посиланням —https://www.facebook.com/Chekalkin.Dmitriy/posts/pfbid02hTt1utD5W9onyRNbarjbNJrWPJFfwwXrF4VXkfwFeeAFS4o3GMvX2baG9HuiLqcKl

198🤔46💩2

2 Sept 2026, 15:05 UTC≈3,250 views663 reactionsread 3 September 2026
Forwarded from @putch111Photo

🥀"Зеленський "кінцево став президентом мусорів, продажних прокурорів, ДБРівців та корумпованих тилових СБУшників", - Віталій Шабунін про підкидання наркотиків Ширшину. "Не думаю, що вказівку підкинути наркотики Ширшину дав особисто президент. Проте саме Зеленський відповідає за те, що такі мусорські практики часів Януковича знову повернулися", - пише Шабунін на своїй сторінці у фейсбук. На його переконання, якщо пр

💯612🤬465

2 Sept 2026, 14:02 UTC≈3,820 views643 reactionsread 3 September 2026

#БлогерКлубСенс Ігор Лапін: Чувак одягнув будьоновку, грає на балалайці а СБУ НЕ БАЧИТЬ російського агента. Володимир Арʼєв: Що таке цинізм? Мастер-клас з офісу президента. Зеленський розповідає, що треба приймати необхідні закони, бо тоді не буде фінансування від партнерів. І що тут немає влади чи опозиції. По-перше, формально досі є монобільшість у 228 голосів. Хай спитає свою фракцію чому вона не голосує. Мемора

💯598🤬40💩5

2 Sept 2026, 13:00 UTC≈4,240 views598 reactionsread 3 September 2026
Photo

#БлогерКлубСенс Світлана Самарська: Якби у мене був шанс поставити запитання Зеленському, я би не розмінювалася на ефектність звучання: хто такий Вова, чий четвертий будинок у Династії тощо. Бо ми всі все розуміємо. Що невідомий Вова - не просто гармонійна частина кривавої мафії, він - верхівка цієї піраміди. І будинок його, і доля скрізь, де можна. Я би запитала, чи доходять до нього бодай у якомусь вигляді крихти

💯57017🔥11

2 Sept 2026, 11:59 UTC≈3,870 views529 reactionsread 3 September 2026
Photo

#ЯкеКончене Financial Times публикует материал, мимо которого нельзя пройти. Россия тайно помогала Ирану разрабатывать сверхзвуковые крылатые ракеты. Программа с кодовым названием C430L началась в 2023 году и продолжалась в разгар американо-израильской войны с Ираном. Лучшие российские ракетные инженеры работали над тем, чтобы дать Тегерану оружие, способное топить американские авианосцы и поражать израильские город

💯500😢218

Showing the 12 most recent of 469 posts we hold for @dmytro_chekalkyn. 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

@dmytro_chekalkyn edited 5 posts 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
26 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Republishes 53 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.

𝑺𝒂𝒎𝒂𝒓𝒔𝒌𝒂 🇺🇦
@sam_svit · 8,678
25 posts
Україна переможе! 🇺🇦❤️
@porohobotchenko · 21,587
21 posts
Горковенко live
@VVgorkovenko · 12,511
18 posts
Березовый сок
@BerezaJuice · 144,299
13 posts
Путч. Русский - нах*й
@putch111 · 30,791
13 posts
Prozapas
@prozapas77 · 38,946
12 posts
Максим Мирович
@MirovichMedia · 107,221
8 posts
ГОНЧАРЕНКО
@oleksiihoncharenko · 212,695
7 posts
ГОЛОБУЦЬКИЙ
@allgolobutsky · 21,842
6 posts
Дядя Сэм
@samfromusa · 64,870
4 posts
Епоха Брехні
@sluefootjoe · 3,791
4 posts
Шалений Кіт
@Shaleniy_Kit · 22,974
3 posts
Полит Юмор
@polit1humor · 24,588
3 posts
Табакерка
@tabakerka2025 · 88,194
3 posts
Tanya Adams
@tanya_adams · 26,897
3 posts
👀Прозріваю 🇺🇦
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3 posts
ЗОЛА
@LapinFromUkraine · 13,677
2 posts
Babchenko
@babchenko77 · 80,512
2 posts
Валерій Калниш | Чорна лампа 🇺🇦
@blacklampa · 11,240
2 posts
Історія України 🇺🇦 ЗСУ ❤️
@istoriya_ukrainy · 75,667
2 posts
KNPU 🇺🇦 ✙ moscovia delenda est
@knputhebest · 10,174
2 posts
Горіха Зерня
@nuts_roses · 10,044
2 posts
Шалена бджілка Погомій Оксана
@pogomiyOksana · 7,958
2 posts
Залізний нардеп
@yzheleznyak · 97,710
2 posts
Іван Сімочкін. ХЕРСОН
@IvanSim007 · 4,028
1 post
Sasha Morpex
@MorpexSasha · 10,243
1 post
Omelyan News
@Omelyan_News · 21,616
1 post
А-БА-БА-ГА-ЛА-МА-ГА
@ababahalamaha · 10,993
1 post
Березовий Джем
@bereza_jam · 20,121
1 post
💥BEREZOVIEW (Taras Berezovets) WAR IN UKRAINE
@berezoview · 141,090
1 post
Будем всех бамбить!
@budem_bambit · 22,171
1 post
5 канал | 5.ua
@channel5UA · 54,133
1 post
Печера Дракона
@dragonspech · 39,894
1 post
Європейська Солідарність Херсон
@es_kherson · 1,166
1 post
Європейська Київщина
@es_kyivska · 1,223
1 post
ЄС Запоріжжя | Міська організація
@european_solidarity_zp · 91
1 post
Exile+
@exile_plus · 21,077
1 post
In Factum
@in_factum · 44,968
1 post
ГЕРАЩЕНКО ІРИНА
@irynagerashchenko · 18,667
1 post
Істребін.UA
@istrebin · 20,951
1 post
КіберБорошно | CyberBoroshno
@kiber_boroshno · 67,746
1 post
Кінокраїна
@kinokraina_ua · 11,734
1 post
Сухопутні війська | UA Land Forces
@landforcesofukraine · 44,560
1 post
MYROTVORETS NEWS
@myrotvoretsnews · 23,944
1 post
NUSS +
@nusspavlo · 21,830
1 post
Олег Леусенко
@oleg_leusenko · 5,173
1 post
Padre Poltava
@padrePoltava · 12,454
1 post
Погребецький Сергій
@pogrserg · 541
1 post

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 1 registered channel — 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.

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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Дмитро Чекалкин Новий телеграм-канал” (@dmytro_chekalkyn), 19,480 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dmytro_chekalkyn.

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.