Telegram RegisterThe public register of Telegram

Channel

Дмитрий Миллер

@dartmill

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry

3,276subscribers

-17 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001742843467
TypeChannel
Username@dartmill
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/dartmill

Growth

3,2763,2933,284.57 August 2026 — 3,293 subscribers7 August 2026 — 3,293 subscribers7 August 2026 — 3,292 subscribers10 August 2026 — 3,284 subscribers13 August 2026 — 3,276 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net -17. 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 3,273–3,296 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:033,276-8
10 Aug 2026, 13:123,284-8
7 Aug 2026, 18:003,292-1
7 Aug 2026, 14:323,293no change
7 Aug 2026, 14:283,293first reading

Engagement

9 posts held, back to 10 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.4%
avg views ÷ 3,276 subscribers
Avg views / post
768
6 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
6
of 9 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 7 August 2026
Posts held9 (10 July 20267 August 2026)
Views total4,605
Reactions total219
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:30 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
7m 18s
Average length
1m 03s

Measured directly from 7 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

319 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 68.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21768.0%
custom 51907425931299714226319.7%
❤‍🔥185.64%
🔥61.88%
👍51.57%
🥰51.57%
🤪30.94%
💋10.313%
💘10.313%

Custom emoji. One row above is a 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 count beside it isTelegram’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 9 of the 9 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 319reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 10 July 2026 to 7 August 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

7 Aug 2026, 01:56 UTC344 views45 reactionsread 7 August 2026
Forwarded from @juliadellosofficialVideo

Моя любовь — моя младшая дочь! 🤍 __ 👨🏻 Дмитрий Миллер

23custom 519074259312997142219❤‍🔥2👍1

3 Aug 2026, 12:26 UTC666 views37 reactionsread 7 August 2026
Forwarded from @antonova_officialVideo

Вчера играли "Идеального мужа". Ждём Вас с Вчера играли "Идеального мужа". Ждём Вас с https://t.me/dartmill 3 и 18 октября, 14, 27 ноября 5 февраля 7 и 15 марта в театре комедии на Достоевской в Москве снова. https://theatrecomedy.com/afisha/?start_date=2026-08-01&end_date=2026-08-31

27custom 51907425931299714225👍3❤‍🔥2

24 Jul 2026, 20:11 UTC≈1,010 views30 reactionsread 7 August 2026
Forwarded from @sullamorVideo

-Дай мне обо что опереться!. /-У тебя есть Вика. Она твоя опора.! «Возвращение» - Пара Олега (Дмитрий Миллер @dartmill) и Ирины (Юлия Подозёрова @podozerovayuliya) - главное украшение сериала «Возвращение», вышедшего на экраны в 2020 году. На фоне общей надуманности сюжета их история выглядит самой искренней. Это химия двух глубоко травмированных людей, которые пытаются склеить друг друга из осколков: он - уставший

19custom 51907425931299714225🥰4❤‍🔥1💘1

19 Jul 2026, 19:35 UTC≈1,020 views31 reactionsread 7 August 2026
Forwarded from @sullamorVideo

- «И что она на это скажет? / - Нет!» «Любовь напрокат» - это идеальный антистресс среди не всем известных, к сожалению, комедий, но действительно классных и главное заставит задуматься «А твой ли человек рядом с тобой?»Дмитрий и Елена, а точнее их герои Саша и Лена показали такую химию!. Сюжет про «семью в аренду» предсказуем до последней запятой, но наблюдать за тем, как эти двое притираются друг к другу - чисто

26custom 51907425931299714223👍1🥰1

18 Jul 2026, 10:07 UTC881 views35 reactionsread 7 August 2026
Video

Классно отыграли с Леной Воробей спектакль «Мужчина с доставкой на дом» в театре «Русская песня». Делюсь с вами своими ближайшими датами спектаклей: 🕺30 октября 2026 (пятница) — Москва, «ЦДКЖ»; 🕺 07 ноября 2026 (суббота) — Санкт-Петербург; 🕺🏼 16 ноября 2026 (понедельник) — Ашдод (Израиль); 🕺🏼 17 ноября 2026 (вторник) — Ашкелон (Израиль); 🕺🏼 18 ноября 2026 (среда) — Тель-Авив (Израиль); 🕺🏼 19 ноября 2026 (четверг) —

28❤‍🔥3🤪3🔥1

16 Jul 2026, 23:15 UTC684 views41 reactionsread 7 August 2026
Forwarded from @dybrovskiy_kirillPhoto

«Мужчина с доставкой на дом» — спектакль, который подарил настоящий вечер эмоций! 🎭 Есть постановки, после которых выходишь из театра с улыбкой, а в голове еще долго звучат любимые реплики. Именно таким для меня стал спектакль «Мужчина с доставкой на дом». Это легкая, остроумная и невероятно жизненная комедия о любви, неожиданных встречах, отношениях и том, как судьба умеет преподносить самые необычные сюрпризы. Ис

32custom 51907425931299714228❤‍🔥1

13 Jul 2026, 20:57 UTC868 views33 reactionsread 7 August 2026
Video

Встречаемся на спектаклях «Тихий Дон» в театре «Русская песня». Мои ближайшие спектакли: 🌾 15-16 октября 2026, 19:00 (четверг-пятница) 🌾 11 ноября 2026, 19:00 (среда) 🌾 08 декабря 2026, 19:00 (вторник) 🌾 15-16 января 2027, 19:00 (пятница-суббота) 🎭 Билеты #спектакль #тихийдон #русскаяпесня #театр #дмитриймиллер #надеждабабкина Надежда Бабкина ✅ Отдать свой голос за канал 📱 Мой канал в MAX

custom 51907425931299714222010❤‍🔥2💋1

12 Jul 2026, 22:41 UTC760 views31 reactionsread 7 August 2026
Forwarded from @veronicaustimovaVideo

Так так так…. кто еще не посмотрел все серии «Затмения» на Кинопоиске и Иви? Они вас уже заждались! иногда я умею быть врединой😋 иногда умею очень злобно намазывать хлеб маслом😂 любимый кинопапа https://t.me/dartmill ❤️

24❤‍🔥4custom 51907425931299714223

10 Jul 2026, 14:34 UTC810 views36 reactionsread 7 August 2026
Forwarded from @luxeafishaPhoto

Наши прекрасные зрители спектакля «Неслужебный роман» 🎭✨ Такие искренние! Улыбающиеся. Вовлечённые. Настоящие 🤍 Ваш смех, реакции и аплодисменты наполняли зал особой энергией✨👏🏻 Именно ради таких вечеров театр становится чем-то большим, чем просто сцена и зрительный зал. Комедия «Неслужебный роман» с участием любимых артистов , Олеси Железняк и Дмитрия Миллера @dartmill в Минске 💫 Спасибо за тёплый приём и атмосф

28🔥5❤‍🔥3

Showing the 9 most recent of 9 posts we hold for @dartmill. 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.

Citation-graph rank

Citation-graph rank — 258,744 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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.

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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4293487 on Wikidata, read 9 August 2026
LabelDmitry Miller
DescriptionRussian actor
Official sitehttp://dmitriy-miller.ucoz.ru/

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Дмитрий Миллер” (@dartmill), 3,276 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/dartmill.

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.