@linssice эстетика: Old Money с элементами Romantic/Parisian aesthetic и Dark Academia. Эта эстетика — изысканное переплетение парижского шарма, аристократического достоинства Old Money и интеллектуальной глубины Dark Academia. Величественная архитектура в стиле классицизма, украшенная нежными соцветиями, создает атмосферу безмятежной элегантности, где история встречается с настоящим. В этом мире камерные прогулки п…

Channel
интерактивы
@interaktiviisjj
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16subscribers
+0 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 | -1003955134386 |
|---|---|
| Type | Channel |
| Username | @interaktiviisjj |
| Description | https://t.me/tvarchhh - основа |
| Created | Between 1 April 2026 and 20 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/interaktiviisjj |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 22:16 | 16 | no change |
| 8 Aug 2026, 10:45 | 16 | first reading |
Engagement
10 posts held, back to 20 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 · 30 days
- 213.1%
- avg views ÷ 16 subscribers
- Avg views / post
- 34.1
- 10 posts measured
- Reaction rate
- 1.27%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 10 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 3 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 10 (20 July 2026 – 4 August 2026) |
| Views total | 341 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 22:16 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
- Photos
- 279
- Videos
- 12
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 3 of the 10 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 July 2026 to 4 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
@dartyne эстетика: McBling в сочетании с элементами Y2K и Whimsigoth. Сочетание McBling, Y2K и Whimsigoth — это ностальгический манифест, объединяющий гламурную избыточность начала нулевых с мистической глубиной оккультной символики. В этой эстетике холодный блеск металлических аксессуаров в форме сердец и винтажных раскладных телефонов встречается с мягким мехом и текстурами крокодиловой кожи. Визуальный код строит…
@m1agoxiki эстетика: Dark Academia в сочетании с элементами Romantic Goth или Ethereal Gothic. Сочетание Dark Academia Romantic Goth или Ethereal Gothic рождает пространство, где академическая строгость встречается с призрачной, потусторонней красотой. В этой эстетике величественная архитектура и античные скульптуры окутаны дымкой меланхоличного романтизма, пробуждающего забытые легенды. Старинные письма, винтажные …
@unpl00ged эстетика: Dark Academia с элементами Coquette. Эстетика Dark Academia с элементами Coquette сочетает в себе интеллектуальную глубину и игривую романтичность. Здесь мрачные, насыщенные цвета переплетаются с нежными пастельными оттенками, создавая контраст между серьезностью и легкостью. Одеяния в винтажном стиле, украшенные кружевами и рюшами, подчеркивают утонченность и женственность, а аксессуары добавля…
@l3koji эстетика: сочетающая в себе элементы Dark Academia, готики и восточных (азиатских) мотивов. Эстетика, объединяющая Dark Academia, готику и восточные мотивы, погружает в мир таинственности и глубоких размышлений. Здесь мрачные и насыщенные цвета, такие как бордовый и темно-зеленый, переплетаются с изысканными узорами восточных тканей, создавая атмосферу загадки и элегантности. Архитектура напоминает старинные…
@ethabss эстетика: Gothic Academia Gothic Academia — это эстетика, которая сочетает в себе элементы готической культуры и академического романтизма. Она погружает нас в мир мрачной элегантности, где старинные замки и заброшенные библиотеки становятся фоном для глубоких размышлений. Одеяния в этом стиле часто включают темные оттенки, винтажные детали и массивные аксессуары. Литература, особенно готические романы и по…
@seklire эстетика: Dark Academia Dark Academia — это эстетика, пронизанная атмосферой интеллектуального романтизма и меланхолии. Она восхищает классической архитектурой университетских кампусов, где каменные стены хранят тайны вековых знаний. В этой эстетике царит любовь к литературе, искусству и философии, что проявляется в уютных библиотеках с полками, полными старинных книг. Одеяния в темных, насыщенных тонах, с …
@suzequatro ваш персонаж: оди Одиннадцать (Джейн Хоппер) — центральная героиня сериала «Очень странные дела», роль которой исполнила актриса Милли Бобби Браун. Начав свой путь как напуганная, почти немая беглянка из секретной лаборатории, не знающая базовых правил человеческого общения, Оди превращается в преданного друга, самостоятельную личность и главную защитницу Хоукинса. Обладая разрушительным телекинезом и те…
❤1
@noxvvelli ваш персонаж: макс Максин «Макс» Мэйфилд — одна из ключевых молодых героинь сериала «Очень странные дела», роль которой исполнила актриса Сэди Синк. Начав свой путь как закрытая, дерзкая бунтарка на скейтборде, неохотно подпускающая к себе людей, Макс превращается в незаменимую, самоотверженную часть компании и одного из самых эмоционально сильных персонажей. Столкнувшись с домашним насилием, тяжелой поте…
❤1
@wook1qq ваш персонаж: робин Робин Бакли — одна из самых ярких и харизматичных героинь сериала «Очень странные дела», роль которой исполнила актриса Майя Хоук. Начав свой путь как ироничная и неприметная сотрудница магазина мороженого «Scoops Ahoy», подшучивающая над Стивом Харрингтоном, Робин быстро превращается в незаменимого аналитика, полиглота и бесстрашного бойца команды Хоукинса. Обладая феноменальной памятью…
Showing the 10 most recent of 10 posts we hold for @interaktiviisjj. 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 — 268,461 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.
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 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“интерактивы” (@interaktiviisjj), 16 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/interaktiviisjj.
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.