Telegram RegisterThe public register of Telegram

Channel

распутье и плакса

@vileplaksa

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

98subscribers

+0 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1001964412517
TypeChannel
Username@vileplaksa
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live12 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/vileplaksa

Growth

9811 Aug 2026, 21:31 — 98 subscribers12 Aug 2026, 18:24 — 98 subscribers11 Aug 2026, 21:3112 Aug 2026, 18:24
2 measurements taken within a single day. 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 97–99 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:2498no change
11 Aug 2026, 21:3198first reading

Engagement

15 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
86.4%
avg views ÷ 98 subscribers
Avg views / post
84.7
7 posts measured
Reaction rate
19.1%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 11 August 2026
Posts held15 (3 July 202611 August 2026)
Views total593
Reactions total113
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 21:31 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
21s
Average length
21s

Measured directly from 1 video 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

260 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 26.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52291695796279458796926.5%
4416.9%
💘3011.5%
🔥2911.2%
🥰2610.0%
custom 5420585109390644153176.54%
custom 5229011327262953549155.77%
custom 5228991282650590525135.00%
custom 537984084630257138193.46%
😭41.54%
custom 522887739300279976631.15%
🤯10.385%

Custom emoji. 6 of the rows above are 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 15 of the 15 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 260reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 3 July 2026 to 11 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

11 Aug 2026, 16:53 UTC21 views8 reactionsread 11 August 2026
Forwarded from @maryanashredPhoto

Вот и подошёл к концу сломанный планшет! Всем кто участвовал огромное спасибо! Полные варианты работ будут в комментариях под этим постом🥺 Участвовали: @Kirillauclub, @reiraveii, @Lucia1Love, @cherritos, @demolves, @tupaJiL, @scarshome, @feathereddonut, @vileplaksa и @whoisthisc Пока что не знаю делать ли подобный движ снова, но если что я всегда об этом скажу😁

custom 52291695796279458794🥰2custom 54205851093906441532

10 Aug 2026, 18:20 UTC57 views11 reactionsread 11 August 2026
Forwarded from @goattgirlPhoto

Дорогие, ещё один долг закончила! Простите, пожалуйста, что нечасто появляюсь, просто у меня сейчас проблемы со связью из-за постоянных гроз, уход за которебенком и... Ну, новое странное хобби, которое я себе придумала и на которое потратила все свои сбережения😋😋😋

custom 522916957962794587953💘3

10 Aug 2026, 03:53 UTC60 views10 reactionsread 11 August 2026
Photo

Для любимой тетушки ,она же великая анастасия,нарисовала эту чучундру 🥲 Было скучно, сегодня скучный день #реальноскучно

5💘3🔥2

9 Aug 2026, 16:23 UTC61 views14 reactionsread 11 August 2026
Forwarded from @ShiningTragedyPhoto

Артов нет. Газан в Костроме. #щитпост

💘74🥰3

2 Aug 2026, 16:44 UTC122 views30 reactionsread 11 August 2026
Photo

- - - - - ☼ - - - - - Я временно съехала на другую квартиру, думала, что будет у меня полный чилл🍤. Но я вечно забываю, какой тут плохой интернет, плакать хочется😭😭😭. К тому же у меня больше нет ноутбука, по этому будет моделинга, а я уже так горю доделать платье ⭐️ Так же я недавно купила себе телесный набор Малевич про, потому что у них хорошие отзывы были и я очень хотела большой набор, но мне стало жалко дене

🥰12🔥9custom 522901132726295354952💘1custom 52291695796279458791

30 Jul 2026, 18:15 UTC125 views18 reactionsread 11 August 2026
Photo

Это ЧТО ТАКОЕ???? ⭐️ - - - - - ☼ - - - - - У меня все так же проблемы с тг, я не захожу, но и не сильно переживаю за этого, мне нормально не общается с людьми, жаль, что я редко вижу теперь ваши и других авторов работы... 👽👽👽 Вы представляете, я делаю платье(?) на бесплатную раздачу. Я люблю платье, вот не могу. Я устала моделить базы, по этому снова одежда, она меня слишком успокаивает. ЭТО КОНЦЕПТ НОВОГО ПЛАТЬ

custom 522916957962794587914🔥2💘1custom 54205851093906441531

22 Jul 2026, 17:08 UTC147 views22 reactionsread 11 August 2026
Photo

- - - - - ☼ - - - - - Рыбешки мои любимые, я не мог войти в тг все это время. Бесит просто это все. 🖤 Я вышла с отпуска, много работы на работе, ведь я выполняю роль начальника. Я много рисовал на бумаге, мало моделю, я сделала ещё одно лоу -поли и всратую гифку, потом скину. Не теряйте меня!!!!⭐️⭐️⭐️ - - - - - ☼ - - - - - #2d #art

custom 522916957962794587910custom 53798408463025713817custom 52290113272629535493💘1🔥1

13 Jul 2026, 20:36 UTC169 views20 reactionsread 11 August 2026
Photo

- - - - - ☼ - - - - - Две эти недели я был в отпуске, и все это время я смотрел Доктора Хауса. Теперь это мой любимый сериал. Прям закрепился в сердце. Но я ненавижу этот сериал, И Я НЕ МОГУ НЕ ПОДЕЛИТСЯ!!!!! Потому что я расстроен, разочаровал 7 сезон, а 8 сезон даже смотреть не могу. И так обидно, потому что я не это хотел смотреть.... Шикарные первые сезоны и 7 сезон невыносимы - скучный, что я мотал, а из-за отно

custom 522899128265059052511😭4custom 52288773930027997663custom 53798408463025713812

10 Jul 2026, 20:15 UTC125 views9 reactionsread 11 August 2026
Forwarded from @rizari33Video

КОЛЛАБА С УЧАСНИКАМИ НАШЕГО ФЛУДА ‿︵‿︵୨˚̣̣̣͙୧ - - - - - ୨˚̣̣̣͙୧‿︵‿︵ 1. nexu 2. rizari 3. Atazara 4. vileplaksa 5. vivaluni

6🔥2🤯1

10 Jul 2026, 12:46 UTC174 views15 reactionsread 11 August 2026
Photo

- - - - - ☼ - - - - - Вы меня простите, но оцените эту срань. Он вроде бы милый, но такой дебил.... В комментариях еще ВСРАТАЯ гифка будет➖➖➖ - - - - - ☼ - - - - - #3d #art

🔥93💘2custom 52291695796279458791

8 Jul 2026, 15:13 UTC119 views16 reactionsread 11 August 2026
Forwarded from @Melakiss1Photo

— ⭐️ первые пошли

custom 522916957962794587911custom 52290113272629535493custom 52289912826505905252

8 Jul 2026, 13:33 UTC124 views19 reactionsread 11 August 2026
Photo

eat your heart - - - - - ☼ - - - - - I don't see you how I used to But I can feel your touch is there There's something that I want to ask you Was it really me coming apart at the seams I don't see you how I used to But I can feel your touch is there There's something that I want to ask you Was it really me coming apart at the seams Я действительно влюблен в эту песню, что слушаю сейчас ее на репите⭐️ а еще меня уж

💘11🥰5custom 52291695796279458793

Showing the 12 most recent of 15 posts we hold for @vileplaksa. 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 — 980,322 of 1,336,469entries 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

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 3 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.

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

“распутье и плакса” (@vileplaksa), 98 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vileplaksa.

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.