Заявление РКН № 6018588167
Военный корреспондент Первого канала.
Мой MAX
https://max.ru/dkulko_official
Прямые эфиры в VK
https://vk.com/dkulko_official
Памятка по алгоритму поиска пропавших бойцов: https://t.me/DKulko/1031
Created
11 September 2022 — 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-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
Views per post sit far above this size band
257,000 average views per post against 31,061 subscribers — an engagement rate of 826.9%. Across the 6,258 registered channels in the same cohort — 10,202–31,619 subscribers, posting mainly in Russian — the middle half sit between 5.50% and 23.3%, with a median of 11.6%.
What this was computed from
Window
30 days (25 September 2026 – 25 October 2026)
Posts measured
8 of 8 published in the window (0 exact, 8 rounded by Telegram)
Views totalled
2,054,870
Mature posts only
826.9% over 8 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 25 October 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.
Growth
50 measurements spanning 80 days, net -601. 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 30,971–31,752 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
24 Oct 2026, 20:18
31,061
-7
22 Oct 2026, 21:09
31,068
-14
21 Oct 2026, 19:37
31,082
-30
20 Oct 2026, 11:37
31,112
-17
19 Oct 2026, 11:00
31,129
+5
18 Oct 2026, 11:20
31,124
-11
17 Oct 2026, 12:51
31,135
-13
16 Oct 2026, 10:27
31,148
+2
15 Oct 2026, 13:45
31,146
-8
14 Oct 2026, 10:20
31,154
-20
12 Oct 2026, 19:36
31,174
-18
8 Oct 2026, 04:41
31,192
+3
3 Oct 2026, 18:16
31,189
-78
24 Sept 2026, 22:18
31,267
-40
18 Sept 2026, 16:00
31,307
+27
16 Sept 2026, 10:22
31,280
-13
14 Sept 2026, 17:20
31,293
-9
13 Sept 2026, 01:18
31,302
-18
11 Sept 2026, 04:38
31,320
-48
8 Sept 2026, 09:37
31,368
first reading
Engagement
33 posts held, back to 13 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 134 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
826.9%
avg views ÷ 31,061 subscribers
Avg views / post
257,000
8 posts measured
Reaction rate
0.058%
reactions ÷ views · ER floor
Posts in window
8
of 33 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 23 October 2026
Posts held
33 (13 July 2026 – 23 October 2026)
Views total
2,054,870
Reactions total
1,194
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 04:36 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
496
Videos
958
Links
423
Lifetime counters from Telegram’s own channel header, read 25 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2h 10m
Average length
4m 49s
Measured directly from 27 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
5,996 reactions across 33 posts, in 12 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,224
37.1%
❤
1,530
25.5%
🙏
1,156
19.3%
🔥
794
13.2%
👏
131
2.18%
😢
67
1.12%
😱
44
0.734%
🥰
12
0.2%
💔
11
0.183%
🤯
10
0.167%
🕊
9
0.15%
😭
8
0.133%
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 33 of the 33 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 5,996 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 13 July 2026 to 23 October 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
57
across the posts below
Posts paid on
8
of 33 we hold a reading for · 24%
Most on one post
47
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DKulko. 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 33 most recent posts we hold for this entry, published 13 July 2026 to 23 October 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.
“Режим тишины” в Алешках. Наш репортаж.
С четырех утра 27 октября на херсонском направлении наши военные временно прекращают огонь - взаимного соблюдения режима тишины в районе Алешек ждут и от противника. Договориться о приостановке боев ради спасения жителей многострадального города удалось при посредничестве первой леди США Мелании Трамп.
Саперам, прежде всего из 98-й дивизии ВДВ, предстоит сложнейшая работа - …
Связь СВО. Наш репортаж
Тяжелый труд связистов в зоне СВО освещается не так широко, как действия бойцов передовых подразделений, но по фронтовым дорогам они мчат точно так же под прицелом дронов. Нас не раз подвозили на передовой и даже сбивали вражеские «птички» именно эти парни.
Они лезут на вышки под ударами FPV, понимая: внизу сигнал нужен любой ценой. Стримы с дронов, наведение ударных расчетов и координация ш…
Идём на Славянск. Наш репортаж
Штурмовики 84-й дивизии (выросшей из легендарной 4-й бригады) и 123-й бригады Самарканда уверенно двигаются на Славянском направлении.
Враг огрызается и пробует контратаковать. Особенно ожесточённо - у Николаевки, ключевого форпоста на подступах к Славянску, а также на господствующих высотах, полный контроль над которыми позволит намертво перерезать снабжение ВСУ. Парни рубежи держат …
Наш боевой ИИ
На недавней встрече с военкорами министр обороны Андрей Белоусов рассказывал о развертывании дата-центров и создании «витрины данных», куда стекаются фронтовые материалы и с помощью которых военные нейросети будут обучать распознаванию целей и навигации.
И вот теперь в Минобороны запустили сервис, открывший разработчикам дронов доступ к этим видеоархивам ударов FPV и тяжелых БПЛА.
Как сообщил заммини…
Наш репортаж о тех, кто воспитал героев
В День учителя Владимир Путин в Кремле вручил государственные награды тем, кто стоял у истоков главных побед наших бойцов - учителям и тренерам участников программы «Время героев».
Встреча получилась удивительно душевной. Парни из глубинки многого добились своим мужеством и трудом, но характер в них воспитали именно наставники, которые десятилетиями скромно и честно делают с…
Рассмотрел вживую новинки учений «Центр-2026»
Наш большой репортаж с Чебаркульского полигона.
Увидел главную премьеру - беспилотный танк «Штурм», экипаж которого работает дистанционно из машины поддержки. Сам лично поклацал компактный полевой пульт, с которого им тоже можно управлять. На этой же базе показали штурмовой комплекс со спаренной 30-й пушкой - своего рода безэкипажный БМПТ «Терминатор».
Что касается т…
FPV-дрон «на ушном»
Часто слышу командиров, которые передают пехоте: «Будь на ушном». Это значит слушать обстановку из укрытия, не ввязываться в стрелковый бой, а при первом шуме противника наводить по рации дроны. Сейчас так строится подавляющее большинство боев на передней линии.
Теперь эту задачу забирают на себя и сами беспилотники. В дрон «КВН» на оптоволокне, который выжидает в засаде, встроен микрофон. Напри…
«Панцирь» против «Фламиндича»
Наш репортаж об отражении первой ракетной атаки на Москву
Пообщались с расчетом «Панциря», прикрывшим столицу во время выборов. В рое из 1600 дронов враг пустил на город восемь крылатых ракет «Фламинго» - все были сбиты , три из них - на счету расчета «Барнаула».
Парни говорят, что распиаренная на Западе новинка оказалась неповоротливой мишенью. Шеститонная махина светится на радарах …
Мы наступаем на Славянск. Наш репортаж.
Проехали на позиции с парнями из 4-й и 123-й бригад, которые идут на Славянск. Передовые группы вышли уже в пяти километрах от города, зацепились за южную окраину Николаевки - ключевого аванпоста, и на нескольких участках форсировали канал Северский Донец - Донбасс.
Бойцы рассказывают, что уже столкнулись с боевиками из экстренно прибывших корпусов ВСУ - последней ставкой Кие…
Крупная партия беспилотников для мотострелков из луганских бригад. Наш военкор Дмитрий Кулько вместе с активистами Народного фронта передал полторы сотни дронов-разведчиков новейшей модификации.
Такие очень нужны бойцам, которые сейчас сражаются на Славянско-Краматорском направлении в самой гуще главной битвы за Донбасс.
Благодаря вам, неравнодушным зрителям Первого канала, средства собрали в рекордные сроки.
150 «мавиков» уже на фронте! Друзья, мы с вами поставили очередной рекорд Народного фронта.
Меньше чем за месяц удалось собрать почти 55 миллионов рублей для бригад из ЛНР, взламывающих главный «пояс крепостей» Донбасса. Такой скорости сбора в телеэфире еще не было - вышло всего 6 сюжетов с QR-кодом.
Средний перевод - около 1000 рублей - эти миллионы собраны из честного трудового рубля простых людей. Это нагляднее …
С Днём рождения, Москва! Наш репортаж.
С начала СВО живу на два города - Москву и подшефный ей Луганск. За эти годы оба колоссально изменились, вопреки всем попыткам врага сломать и задушить страну.
Столичный почерк теперь виден на всём Донбассе: широкие тротуары, скверы, новые школы и больницы (в одной из таких в ЛНР сам валялся с ангиной и оценил уровень изнутри). При Украине о подобном здесь даже не мечтали.
Я …
❤95👏25🙏9🔥3😱1
Showing the 12 most recent of 33 posts we hold for @DKulko. 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.
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 29 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 23 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.
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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Военкор Кулько” (@DKulko), 31,061 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/DKulko.
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.
