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Channel

Скрипторий

@wellscriptorium

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

542subscribers

+11 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001700690223
TypeChannel
Username@wellscriptorium
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live22 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/wellscriptorium

Growth

531542536.57 August 2026 — 531 subscribers8 August 2026 — 531 subscribers22 August 2026 — 542 subscribers7 August 202622 August 2026
3 measurements spanning 15 days, net +11. 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 529–544 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 20:08542+11
8 Aug 2026, 03:50531no change
7 Aug 2026, 13:54531first reading

Engagement

11 posts held, back to 14 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
37.0%
avg views ÷ 542 subscribers
Avg views / post
201
7 posts measured
Reaction rate
21.3%
reactions ÷ views · ER floor
Posts in window
7
of 11 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 6 August 2026
Posts held11 (14 July 20266 August 2026)
Views total1,405
Reactions total299
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:50 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
5s
Average length
5s

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

461 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 30.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁14030.4%
12126.2%
🔥10923.6%
custom 54699550283137133095712.4%
custom 5402249846759385119326.94%
😎20.434%

Custom emoji. 2 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 11 of the 11 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 461reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 14 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wellscriptorium. 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 11 most recent posts we hold for this entry, published 14 July 2026 to 6 August 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

6 Aug 2026, 17:00 UTC121 views17 reactionsread 8 August 2026
Photo

В принципе, тоже эффективная стратегия, конечно (из средневекового итальянского паблика «Феодализм и Свобода») #NSFW

😁14🔥2😎1

6 Aug 2026, 09:06 UTC172 views42 reactionsread 8 August 2026

Но, кстати, мне реально кажется адской вся эта конструкция, где за внимание ничего не подозревающего подписчика надо бороться какими-то хитропромученными способами, писать хуки-крючки, чтобы подцеплять его за внимание, как карася за жабры, «бить в боль» (в основном ловят на три приманки — любовь, деньги и здоровье). Есть в этом всём что-то эээ ну такоэ. Выходит, что система построена так, что нет уважения ни к тому,

21custom 540224984675938511912🔥9

5 Aug 2026, 15:41 UTC150 views38 reactionsread 8 August 2026
Photo

Удачно лента принесла про авторскую идентичность: — Вы можете себя идентифицировать? — Конечно. Я б себя везде узнал. © «Маскарад», Терри Пратчетт #в_скриптории_нехолодно

😁15🔥129custom 54022498467593851192

5 Aug 2026, 11:27 UTC155 views34 reactionsread 8 August 2026

Кстати, насчёт этого закольцованного танго, где с одной стороны — юзеры пытаются угадать, как бы так вывернуться наизнанку, чтобы понравиться алгоритму соцсети и «залететь в реки», а с другой стороны — нейросети в цифровом рабстве без продыху генерят «хуки», чтобы «попасть в боль» аудитории и «удержать её внимание дольше трёх секунд». Как сказал бы классик, неизвестно, что тяжелее — быть автором у алгоритмов или алг

😁23🔥8custom 54699550283137133093

5 Aug 2026, 07:44 UTC166 views57 reactions1 Starread 8 August 2026

Так. Ну, мне кажется, пришла уже пора приободрить художников. Займусь этим. Мало нам было алгоритмов соцсетей, которые и до массового внедрения ИИ вынуждали множество приличных людей терять лицо и пытаться угодить трендикам. Все эти «покажи закулисье творческого процесса», «устрой коллабу», «сними пятисекундный рилз про работу, на которую ушло 80 часов», и тд. А как у вас? Пытались угодить? Расскажите в комментария

😁25🔥15custom 5402249846759385119107

29 Jul 2026, 16:19 UTC364 views57 reactionsread 8 August 2026
Photo

Все уже, наверное, видели эту новость про поддельный римский амфитеатр, построенный в итальянской провинции Виченца? Вот эту: В итальянской провинции Виченца в течение последних 20 лет можно было полюбоваться на так называемый Берикский морской амфитеатр, который местный житель Франко Малоссо обнаружил после массивного схода оползня в 2005 году. Амфитеатр был построен примерно в IV-V веках нашей эры, и в свое время

😁2816🔥13

29 Jul 2026, 07:36 UTC277 views54 reactionsread 8 August 2026

Однажды охотник пришел на королевский бал и весь вечер танцевал с прекрасной принцессой. Когда бал близился к завершению, охотник собрался уходить и, чтобы избежать долгих прощаний, побежал по лестнице. Но споткнулся о ковёр и полетел кубарем, да так, что с его ноги слетел сапог. Охотник побежал дальше в одном сапоге, добежал до своей кареты и помчал в свое имение. Влюбленная принцесса, прижимая к груди сапог, повел

😁35🔥8custom 54022498467593851196custom 54699550283137133094😎1

18 Jul 2026, 10:43 UTC335 views39 reactionsread 8 August 2026
Photo

Галактика NGC6744, в южном созвездии Павлина. Одна из самых больших спиральных галактик, которые мы знаем — по ширине диска в два раза больше нашей галактики Млечный Путь. Туманные участки на фото — как раз газопылевые облака, принадлежащие Млечному Пути. 📷: Даниэле Гаспарри #в_скриптории_нехолодно #all_those_moments #т_м_кбрпнк_р

custom 54699550283137133091716🔥6

18 Jul 2026, 10:03 UTC323 views42 reactionsread 8 August 2026
Photo

Кстати, о визуальном ритме в фильме и уровне планирования кадра: увидеть чёрный треугольник тени, обусловленный архитектурой, и оставить дверь открытой ровно настолько, чтобы получился такой же треугольник с обещанием света. Один из примеров, там такое постоянно. #в_скриптории_нехолодно

🔥20custom 5469955028313713309146custom 54022498467593851192

17 Jul 2026, 18:52 UTC335 views34 reactionsread 8 August 2026
Photo

На фоне известных обсуждений посмотрела «Макбет» с Дензелом Вашингтоном. Потрясающий видеоряд, потрясающе играют актёры, потрясающий фильм, ни за что на свете не буду пересматривать. Давно не видела такой концентрированной хтони. (но весь этот визуальный немецкий экспрессионизмус на чёрнобелом нуаре сидит и архитектурным брутализмом погоняет, это реально круто. Нет, не буду пересматривать) Дензел в роли Макбета оч

19🔥8custom 54699550283137133097

14 Jul 2026, 09:48 UTC258 views47 reactionsread 8 August 2026
Forwarded from @Natalia_RezzaVideo

Рассвет в Тоскане Нарисовала после одной из первых поездок в Италию — когда ещё и не думала, что буду здесь жить (не в Тоскане, а в соседней Умбрии, где холмы и рассветы такие же красавцы. Хотя, положа руку на сердце, холмы и рассветы красавцы везде) #Italia

27custom 546995502831371330912🔥8

Showing the 11 most recent of 11 posts we hold for @wellscriptorium. 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 — 39,285 of 1,584,420entries 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.

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.

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.

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

“Скрипторий” (@wellscriptorium), 542 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/wellscriptorium.

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.