Telegram RegisterThe public register of Telegram

Channel

Скриптдоктор Хаос

@scriptdoctorchaos

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

368subscribers

-1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002120319814
TypeChannel
Username@scriptdoctorchaos
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 6 August 2026
On Telegramt.me/scriptdoctorchaos

Growth

368369368.56 Aug 2026, 07:22 — 369 subscribers6 Aug 2026, 20:48 — 369 subscribers6 Aug 2026, 20:50 — 368 subscribers6 Aug 2026, 07:226 Aug 2026, 20:50
3 measurements taken within a single 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 368–369 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 20:50368-1
6 Aug 2026, 20:48369no change
6 Aug 2026, 07:22369first reading

Engagement

13 posts held, back to 6 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
53.3%
avg views ÷ 368 subscribers
Avg views / post
196
9 posts measured
Reaction rate
6.44%
reactions ÷ views · ER floor
Posts in window
9
of 13 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. It is computed over the 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held13 (6 July 20265 August 2026)
Views total1,766
Reactions total105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:48 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

142 reactions across 12 posts, in 13 distinct kinds. The most used accounts for 43.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6243.7%
🔥4330.3%
👍128.45%
😁64.23%
32.11%
👌32.11%
🕊32.11%
👏21.41%
👻21.41%
🤝21.41%
🥰21.41%
❤‍🔥10.704%
🤩10.704%

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 13 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 142reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 6 July 2026 to 5 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

5 Aug 2026, 08:49 UTC107 views9 reactionsread 6 August 2026
Video

Как говорится - это не ЛОЖНАЯ тревога! С выходом серила Фейк наши зрители и подписчики стали присылать нам свои истории сталкинга, и их много! Мы поняли, что их надо собирать и сделать публичными (с разрешения тех, кто это пережил и готов рассказать). И! Я вспомнил, что я закончил МИФИ, познал ИИ и завайбкодил бота @StalkingStoriesBot, мы сделали канал: @stalking_stories Будем собирать там истории, чтобы сделать пр

5🔥4

21 Jul 2026, 06:50 UTC642 views25 reactionsread 6 August 2026
Photo

Путь длинною в Фейк В 2020 году - это когда был ковид. Другие времена. Мы с Артёмом нашли статью, про то как девушку в США сталкерили 15 лет. Мы просто проглотили её - не девушку, статью. Что там и как расскажу ближе к концу сериала, потому что мы, конечно - вдохновились. После этого мы сразу стали изучать тему сталкинга. Оказалось, что в России юридически защититься от сталкинга ты никак не можешь. Физически скорее

🔥19👍4👌1🕊1

17 Jul 2026, 15:52 UTC155 views7 reactionsread 6 August 2026

Пятница! Вечер! Идеальное время, чтобы посмотреть Фейк или узнать про Разгоны, или винца! Но можно и все вместе

4👏1🔥1🥰1

17 Jul 2026, 15:52 UTC172 views8 reactionsread 6 August 2026
Forwarded from @script_clubPhoto

🤌В СкриптКлаб пройдут РАЗГОНЫ по кино и сериалам Мы не останавливаемся: как говорится, готовь идеи летом, а сценарии — зимой. Разбирать идеи будет Сергей Левитан — сценарист, креативный продюсер и шоураннер. Мы отберем заявки и посмотрим на самое важное: завязку, движок истории, главных героев и основной конфликт. Три выбранные истории авторы запитчат прямо на общей встрече. Ещё несколько заявок разберём без питч

👍4🔥2👏1🥰1

16 Jul 2026, 13:58 UTC136 views11 reactionsread 6 August 2026

Что Наташа натворила. Я весь день планирую а) рассказать про тему сталкинга б) про путь этой истории. Но тут такие красоты, что снова придётся отложить. А ещё как будут выходить последние серии - расскажу вам историю статьи про сталкинг, с которой всё началось для этого проекта. Просто в статье есть спойлер

11

16 Jul 2026, 13:58 UTC137 views14 reactionsread 6 August 2026
Forwarded from @natali_true_storyPhoto

и просто посмотрите, какие красивые люди работали над проектом!! обычно, к сериалам и фильмам помимо основного постера делают характер-постеры для каждого героя. у Фейка они тоже есть. но я подумала, что творцов нужно знать в лицо! мы ей-богу умираем в окопах, чтобы создавать важные сердцу истории) и я обожаю каждого из команды. Нина Беленицкая - мой верный соавтор Алексей Кузмин-Тарасов - режиссёр-постановщик Серг

11🕊2🤩1

16 Jul 2026, 07:33 UTC155 views15 reactionsread 6 August 2026
Photo

Сегодня вышел Фейк! https://okkomovies.app.link/efPyb48xO4b

🔥11👻21❤‍🔥1

16 Jul 2026, 05:53 UTC135 viewsread 6 August 2026

Все мы немного аргентинцы! А кто нет?

16 Jul 2026, 05:53 UTC127 views16 reactionsread 6 August 2026
Forwarded from @FBChuPhoto

Я аргентинец, получается😕

8😁6🤝2

8 Jul 2026, 15:50 UTC212 views9 reactionsread 6 August 2026
Forwarded from @decon_s

С первых драфтов монтажа Суеты, в ней поменялось всё: динамика, стиль, даже ход повествования, но заглавный трек Goshu Вес неизменно сохранялся с самой первой версии. Он будто и задал то настроение, которое мы сейчас видим. Его немного абсурдный и непонятный, но от того не менее классный речитатив стал продолжением истории пацанов (а мы всем офисом Decon Studio расшифровывали, что же там поётся😎). Автор трека Вадим

43👍2

8 Jul 2026, 15:50 UTC147 views7 reactionsread 6 August 2026

Музло - в Суете маленькая победа. Тогда вообще было много прям свежачков-находок. Го пока вышло… и все равно музон там заводной

🔥3👌2👍2

6 Jul 2026, 07:05 UTC171 views14 reactionsread 6 August 2026
Forwarded from @okkomoviesPhoto

👊 «СУЕТА» в Okko! Первая серия криминальной комедии вышла! Знакомимся с героями сериала. В ролях: Саша Фёдоров, Денис Власенко, Магомед Муртазаалиев, Александр Аверин, Анастасия Акатова, Алексей Гришин, Олег Комаров и Александр Фисенко. Okko х Decon Studio 😆 Мы в MAX | Смотрите Okko прямо сейчас

11🔥3

Showing the 12 most recent of 13 posts we hold for @scriptdoctorchaos. 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 — 300,623 of 1,151,006entries 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 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 6 August 2026 — this entry's latest reading, not the date you are reading this.

“Скриптдоктор Хаос” (@scriptdoctorchaos), 368 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/scriptdoctorchaos.

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.