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Channel

дазз пишет ˚୨୧ 𖦹

@dkskdkkskdodod

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

575subscribers

-1 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002262526560
TypeChannel
Username@dkskdkkskdodod
CreatedBetween 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 16 August 2026
On Telegramt.me/dkskdkkskdodod

Growth

575576575.58 Aug 2026, 01:33 — 576 subscribers8 Aug 2026, 03:30 — 576 subscribers9 Aug 2026, 01:40 — 575 subscribers8 Aug 2026, 01:339 Aug 2026, 01:40
3 measurements spanning 1 day, net -1. 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 575–576 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 01:40575-1
8 Aug 2026, 03:30576no change
8 Aug 2026, 01:33576first reading

Engagement

12 posts held, back to 5 November 2025the 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 · 30 days
42.8%
avg views ÷ 575 subscribers
Avg views / post
246
1 post measured
Reaction rate
11.4%
reactions ÷ views · ER floor
Posts in window
1
of 12 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 28 July 2026
Posts held12 (5 November 202528 July 2026)
Views total246
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:30 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.

Reaction mix

517 reactions across 12 posts, in 14 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19036.8%
🔥11822.8%
😍468.90%
🍓377.16%
💋346.58%
❤‍🔥326.19%
🥰152.90%
👍132.51%
💘101.93%
🏆71.35%
🤯61.16%
🐳50.967%
👏30.58%
🍾10.193%

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 517reactions 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 5 November 2025 to 28 July 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
6
across the posts below
Posts paid on
2
of 12 we hold a reading for · 17%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dkskdkkskdodod. 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 12 most recent posts we hold for this entry, published 5 November 2025 to 28 July 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.

Recent posts

28 Jul 2026, 10:19 UTC246 views28 reactionsread 8 August 2026

Ох, сон. Ничто на свете не способно доставлять мне такое удовольствие, давать такую свободу, такие силы, чтобы чувствовать, двигаться, думать и мечтать, защищая от несчастий, подстерегающих в реальной жизни. Я не нарколептик — я никогда не сплю, когда не хочу этого. Скорее я сомниак. Сомнофил. Я всегда любила спать. Мы с матерью всегда наслаждались сном вместе, когда я была ребенком. Она была не из тех, кто мог сидет

20👍4👏3💘1

25 Jun 2026, 08:11 UTC572 views40 reactionsread 8 August 2026
Photo

🌟🌟🌟— 🌟🌟🌟🌟🌟🌟🌟🌟🌟 1. Барби — "Barbie" 2. Бретт Хэнд — "Inside Job" 3. Сайори — "Doki Doki Literature Club" 4. Алисента Хайтауэр — "House of the Dragon" 5. Флора — "Winx" 6. Блонд Блэйзер — "Dispatch" 7. Меган Блумфилд — "But I'm a Cheerleader" 8. Рагата — "Digital Circus" tags : #so9 #э9 #эннеа #тайп

25❤‍🔥5🔥5🍓2👍2💘1

24 Jun 2026, 14:17 UTC483 views24 reactionsread 8 August 2026
Photo

🌟 мини-тайпы героев фильмов, сериалов и игр! случайно вышла подборка SP подтипа Ганс Ланда "Бесславные ублюдки" — EN(T) SP7 Беар Бэйли "Обсессия" — SP9 Хершел Уилкс "Zero Parades: For Dead Spies" — ET(S) SP3 368 ФВЭЛ Эллиот Андерсон "Мистер Робот" — IT(N) SP5 Марк Рентон "На игле" — SP9 tags: #sp9 #sp5 #sp3 #sp7 #э9 #э5 #э3 #э7 #э9 #эннеа #тайп #zero_parades

🔥145💋2🍓1👍1💘1

23 Jun 2026, 14:17 UTC459 views33 reactionsread 8 August 2026
Photo

🤌 Скарлетт О'Хара — SX2☂️ — Я не нуждаюсь в том, чтобы вы меня спасали. Я сумею сама позаботиться о себе, мерси. 🌟 — Истинная представительница Триады Отказа. Пусть ранее Скарлетт и манипулировала мужчинами, чтобы получать блага, однако довольно рано перестала верить, что кто-то способен её прокормить, защитить или обеспечить, кроме нее самой. 👱‍♀️ — В психике Скарлетт искажается сама суть помощи. Она способна дат

❤‍🔥179🔥4🍓1👍1💘1

23 Jun 2026, 08:11 UTC401 views21 reactionsread 8 August 2026
Photo

💛😅🙃💛💛😅💛💛💛! 💕 #эннеа #пй #мбти #суператорика #интроверсия #экстраверсия #э1 #э2 #э3 #э4 #э5 #э6 #э7 #э8 #э9 #sp1 #sx1 #so1 #sp2 #sx2 #so2 #sp3 #sx3 #so3 #sp4 #sx4 #so4 #sp5 #sx5 #so5 #sp6 #sx6 #so6 #sp7 #sx7 #so7 #sp8 #sx8 #so8 #sp9 #sx9 #so9 #sp #sx #so #1э #2э #3э #4э #1л #2л #3л #4л #1ф #2ф #3ф #4ф #1в #2в #3в #4в #fi #ni #ti #si #fe #ne #te #se #разбор #цитата #тайп #мысли #типирование #вопросответ #вп

16💘2🍓1👍1💋1

22 Jun 2026, 19:03 UTC381 views60 reactions1 Starread 8 August 2026
Photo

😀 возвращаюсь к вам, друзья ! каких-то новостей или историй о том, что я делала все это время не будет. я просто работала на одной, двух и трёх работах, сдавала сессию, играла в игры и жоска занималась самопознанием в различных его формах. кстати говоря, немного перетипировалась: я теперь не 694, а 692, вот такие пироги 🤓 за эти 7 месяцев я посмотрела ещё больше фильмов и прочитала ещё больше книг, о которых могу п

42🍓10🔥6❤‍🔥2

22 Jun 2026, 14:36 UTC361 views64 reactions5 Starsread 8 August 2026

больше полугода канал заброшен, а я все ещё вижу активность. вам ещё интересно тут...? (я думаю вернуться)

43🥰10🔥7🍓3💘1

25 Nov 2025, 14:41 UTC≈1,350 views58 reactionsread 8 August 2026
Photo

давайте типировать этот шедевр

😍46🤯63👍2💘1

20 Nov 2025, 10:21 UTC≈1,440 views61 reactionsread 8 August 2026
Photo

🎸 Недоразбор личностей : Дмитрий Куплинов 🚬 👀 Вот в комментариях спросили, как я типирую самого Куплинова, после чего несколько дней эта мысль не выходила у меня из головы. Не то чтобы я не думала над его типом раньше, просто реальных людей, а тем более медийных личностей, который выстраивают определённый образ на публике типировать всегда сложнее. Даже несмотря на то, что Куплинов всегда ведёт себя довольно искренн

🔥3912🍓6🥰3💘1

17 Nov 2025, 13:29 UTC≈1,060 views28 reactionsread 8 August 2026
Photo

🧡 тайпы некоторых персонажей игры "Dispatch" ! я ЛЮБЛЮ смотреть Куплинова Блонди Блейзер — EF(S) 9w1 962 so/sp Невидива — IF(S) 4w3 478 sx/so ЭФВЛ Водобой — 6w5 694 sp/so Роберт — IS(T) 9w1 953 sp/sx Фламбе — ES(F) 3w4 378 so/sx FEVL канал держаться!!!!!!!! tags : #тайп #эннеа #мбти #пй #sp9 #so9 #so3 #sp6 #sx4 #fe #fi #se #si #dispatch

🔥18❤‍🔥43🍓2🍾1

6 Nov 2025, 13:18 UTC≈1,210 views59 reactionsread 8 August 2026
Photo

➖ Стелла как представитель SX3 ➖ 🌟 — Ее описывают как "гордую", уверенную в себе девушку, которая знает о том, что она особенная и выделяется из толпы в хорошем смысле этого слова. В этом можно заметить довольно типичное проявление Гордости Э2, ведь они точно также верят в собственную исключительность и превосходство. Однако же на протяжении мультсериала можно заметить, что ее вера в исключительность не столько реал

💋3110🐳5🏆4🍓3❤‍🔥2🔥2🥰2

5 Nov 2025, 16:47 UTC979 views41 reactionsread 8 August 2026
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🌟 у меня активно проходит подготовка к сессии и, чтобы не отвлекаться, я запойно смотрю прохождения рандомных игр от Куплинова, да и просто все подряд на ютубе. не уверена, что напишу разборы по кому-либо отсюда, поэтому решила выложить все в тайпы! Бледный мужчина (игра "No, I'm not a human") — SX8 Ивангай — SX7 Джимми (игра "Mouthwashing") — IF(S) 4w5 458 sx/so ЭФВЛ Рагата (сериал "Удивительный Цифровой Цирк") —

🔥23🍓8🏆32❤‍🔥2👍2💘1

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

Citation-graph rank

Citation-graph rank — 308,739 of 1,549,704entries 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.

Mentions

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.

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

“дазз пишет ˚୨୧ 𖦹” (@dkskdkkskdodod), 575 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/dkskdkkskdodod.

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.