размышляю о важном: насколько же нереальный шлем придумали Агамемнону и сколько протеина содержал лотос, которым Калипсо кормила Одиссея
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Channel
@dddanilatsarkov
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
354subscribers
+3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001964690729 |
|---|---|
| Type | Channel |
| Username | @dddanilatsarkov |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/dddanilatsarkov |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:08 | 354 | +3 |
| 6 Aug 2026, 21:18 | 351 | no change |
| 6 Aug 2026, 10:53 | 351 | first reading |
12 posts held, back to 30 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 12 (30 July 2026 – 6 August 2026) |
| Views total | 2,820 |
| Reactions total | 286 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 21:18 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.
286 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 34.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5233389449420748592 | 98 | 34.3% | |
| custom 5298610932992201316 | 51 | 17.8% | |
| custom 5194936551385086204 | 48 | 16.8% | |
| custom 5305465292774727123 | 41 | 14.3% | |
| custom 5366438989265909979 | 27 | 9.44% | |
| custom 5195434978044820559 | 11 | 3.85% | |
| custom 5442801725377368126 | 8 | 2.80% | |
| custom 5300976429180145235 | 2 | 0.699% |
Custom emoji. Every 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 counts beside them areTelegram’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 12 of the 12 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 286reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 30 July 2026 to 6 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.
размышляю о важном: насколько же нереальный шлем придумали Агамемнону и сколько протеина содержал лотос, которым Калипсо кормила Одиссея
custom 52333894494207485927custom 53664389892659099794custom 53054652927747271233custom 51949365513850862041
не знаю как вы, а я критически близок к погибели от жары в нашем любимом городе вообще сложно представить что-то хуже душной московской жары — даже февральская грязь кажется милой на фоне этого сосотояния, близкого к полудреме после убойного похмелья
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если вы не знали (я не знал до вчерашнего вечера) — в Москве можно посмотреть "Одиссею" в оригинальном IMAX разрешении. да, это будет не кинопленка, а проектор, но тем не менее сделать это можно в киносфере, мест осталось отвратительно мало, но пока они есть — надо брать редко последнее время смотрю кино в кинотатрах, но из уважения к Нолану в этот раз поедем в Ховрино
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привет всем новоприбывшим — тут круто p.s. да-да, вместе с новым зеркалом теперь тут наконец-то появятся нормальные луки 🤨
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очень порадовала фраза Гриши: «быть плохим скульптором также опасно, как быть плохим врачом». воспитывать в людях вкус через искусство — действительно очень большая ответственность. думаю, именно это часто заставляет нас оставаться до ночи и выходить в выходные в наше бюро ну а дом, что говорить — вау, помноженное на уникальное чувство стиля владельцев. мебелировка просто нереальная, очень советую к просмотру
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вчера вечером у нас сломался (опять) наш любимый кино-стриминг и нам пришлось вновь покорять просторы ютюба наткнулись мы на видео о шикарном доме с шикарной историей скульптора Григория Орехова (лэнд-арт, зеркальные матрешки и не только) и его жены Даны Матковской (коллеги по цеху, бюро А2М). давно любим COVER Project, но этот выпуск оказался каким-то особенно душевным
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на дворе август, а я собрал для вас реально крутой плейлист ✨ с большим трудом воспринимаю современную музыку (похоже, я уже пенсия) и часто заслушиваю до дыр музыку из кино. так что если вы тоже устали от «актуального» — добро пожаловать в бессмертную музыкальную рок-классику слушаем и радуемся 😎
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Как вы уже могли догадаться — мы обожаем музыку! Сегодня настала очередь Данилы. Так что давайте узнаем, что же звучит в наушниках сооснователя DDD. «Моя любимая музыка почти полностью состоит из саундреков к любимым мною фильмам. А если вы разделяете любовь к Гаю Ричи, Стивену Содербергу и Тарантино — вам точно понравится! Лисн&инжой!» — Данила. 20 треков / 1 час 9 минут Слушаем в Яндекс.Музыке и представляем се…
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чтобы не сойти с ума в июле я прислушался к Даше — бегуну со стажем и попробовал сам и сегодня, как спортсмен, у которого за спиной целых 28 км могу сказать, что это правда помогает. силовые нагрузки — это, конечно, круто. но в отличие от них, час кардионагрузки просто колоссально освежает и положительно влияют на мои мыслительные способности очень надеюсь, что смогу сохранить темп в две пробежки в неделю. или хотя…
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представляете, вчера провели первое собеседование с человеком, который нашел нас по нашему видео с обзором архитектуры! о великая сила медиа-пиара, никогда не знаешь, какой подарок он принесет тебе сегодня. одно скажу, это большое счастье — общаться с людьми, кто пришел не на красивые картинки в телеграме, а на мысли, которые нами были озвучены в видео 🤍
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и зеркало! вы себе даже не представляете, сколько времени мы собирались купить его в офис без шуток, полгода точно мы себе говорили, что пора наконец-то делать больше фотозон, офис же супер-фотогеничный и вот, случилось! ура! 😚
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а теперь серьезно: в сложившейся ситуации на работе в архитектуре теперь меня держат только приколы.
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Showing the 12 most recent of 12 posts we hold for @dddanilatsarkov. 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 — 819,178 of 1,481,217entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“ддданила царьков” (@dddanilatsarkov), 354 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dddanilatsarkov.
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.