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Channel

ОПЕРИТИВ

@operitiv

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

76subscribers

+44 since we began measuring on 8 October 2026

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

Register entry

Telegram ID-1004473394124
TypeChannel
Username@operitiv
Created5 October 2026 — measured — dated from the channel’s first post
First recorded8 October 2026
Last confirmed live2 November 2026
Measurements held6
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/operitiv

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 26 October 2026 and assigned it the closest of 31 fixed categories, at 68% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

3276548 October 2026 — 32 subscribers8 October 2026 — 32 subscribers12 October 2026 — 46 subscribers19 October 2026 — 59 subscribers26 October 2026 — 75 subscribers2 November 2026 — 76 subscribers8 October 20262 November 2026
6 measurements spanning 25 days, net +44. 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 25–83 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Nov 2026, 23:4176+1
26 Oct 2026, 07:3075+16
19 Oct 2026, 15:0759+13
12 Oct 2026, 12:2646+14
8 Oct 2026, 14:2232no change
8 Oct 2026, 13:4732first reading

Engagement

9 posts held, back to 5 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
52.1%
avg views ÷ 76 subscribers
Avg views / post
39.6
7 posts measured
Reaction rate
41.9%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 7 October 2026
Posts held9 (5 October 2026 – 7 October 2026)
Views total277
Reactions total116
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 14:22 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

116 reactions across 7 posts, in 9 distinct kinds. The most used accounts for 37.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4437.9%
❤‍🔥2017.2%
👍1512.9%
🤩1412.1%
🙏119.48%
🥰86.90%
🔥21.72%
👏10.862%
🦄10.862%

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 7 of the 9 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 116 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 5 October 2026 to 7 October 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

7 Oct 2026, 17:37 UTC42 views17 reactionsread 8 October 2026
Photo

P. S.: если в оперном театре есть колонны и царская ложа, по возможности избегайте мест, которые расположены рядом с ними. 🔴Место на бельэтаже в самом центре вплотную к царской ложе может казаться отличным решением при покупке. А в реальности вы с большой вероятностью столкнетесь с отсутствием пространства для локтя, коленей и перекрытым шторами и колоннами обзором.

❤‍🔥6❤5🤩4👍1🥰1

7 Oct 2026, 17:37 UTC41 views14 reactionsread 8 October 2026
Photo

Если вы — пришли на оперу компанией, — предпочитаете находиться в отдалении от других зрителей — или хотите обсудить спектакль, не мешая другим, 🟢То обратите внимание на ложи. По цене и уровню престижности они сопоставимы с партером. 🟣Однако боковые ложи имеют ограниченную видимость. Тут придется решать, что для вас важнее: хороший обзор или близость к сцене. 🔴Будьте осторожны при выборе самых близких к сцене лож: …

❤7👍3🔥2🥰1🙏1

7 Oct 2026, 17:36 UTC37 views14 reactionsread 8 October 2026
Photo

Амфитеатр расположен между партером и бельэтажем. Он обычно уступает обоим как в цене, так и в комфорте и качестве обзора. Там могут быть узкие проходы и не очень удобные кресла, 🟣видимость с дальних рядов может быть сильно ограничена, особенно в старых театрах. 🟢Стоит отдать предпочтение середине первого ряда. Это возможность сидеть не очень далеко от сцены, с оптимальным обзором по комфортной цене.

❤‍🔥6❤3👍3🤩1🥰1

7 Oct 2026, 17:36 UTC36 views16 reactionsread 8 October 2026
Photo

Если для вас важен баланс видимости, слышимости и стоимости 🟢Обратите внимание на бельэтаж и первый ярус балкона. Звук распространяется от сцены и оркестровой ямы вверх, к бельэтажу и балкону, поэтому самая лучшая акустика в зале именно на этих местах. С середины бельэтажа также открывается отличный обзор на всё происходящее на сцене. Цена на эти места ниже, чем на партер. Здесь также необходимо учитывать особеннос…

❤8👍3🤩2🙏2🥰1

7 Oct 2026, 17:35 UTC30 views13 reactionsread 8 October 2026
Photo

Если для вас важны: — эмоции солистов, — детали декораций и костюмов, — а также красивый фон для фотографий и хороший ракурс для видео, 🟢Выбирайте середину первых рядов партера Эти места обладают определенным уровнем комфорта и престижа и являются самыми дорогими. 🔴Первые два ряда партера могут оказаться неудачным решением, если вы читаете субтитры — придётся сидеть с запрокинутой головой и постоянно менять её поло…

❤‍🔥5❤3👍3🥰1🙏1

7 Oct 2026, 17:35 UTC31 views15 reactionsread 8 October 2026
Photo

К выбору места в зрительном зале стоит отнестись внимательно, так как неудачные места могут испортить впечатление от спектакля. Очевидным решением могут казаться первые ряды партера. Эти места считаются самыми лучшими и престижными: — с них хорошо видно мимику актёров, самые мелкие движения, детали костюмов — ты находишься близко к сцене и максимально погружаешься в действие. Однако в оперном театре это минимальное…

❤8❤‍🔥3👍2🥰1🦄1

5 Oct 2026, 13:34 UTC60 views27 reactionsread 8 October 2026
Photo

«Как вид искусства, опера является редким и выдающимся творением. На мой взгляд, она выражает грани человеческой драмы, которые невозможно передать никаким другим способом или, во всяком случае, невозможно передать столь же прекрасно», — Лучано Паваротти. Опера неисчерпаема, и каждый найденный в ней ответ рождает новый вопрос. И всё же сквозь столетия она говорит о том, что знакомо каждому из нас. Опера завораживае…

❤10🤩7🙏7🥰2👏1

Showing the 9 most recent of 9 posts we hold for @operitiv. 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.

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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“ОПЕРИТИВ” (@operitiv), 76 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/operitiv.

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.