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Channel

Обо всем по порядку

@viktorishevaa

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

284subscribers

+27 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-1002155560745
TypeChannel
Username@viktorishevaa
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/viktorishevaa

Growth

257284270.57 August 2026 — 257 subscribers8 August 2026 — 263 subscribers8 August 2026 — 263 subscribers15 August 2026 — 284 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +27. 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 253–288 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:37284+21
8 Aug 2026, 09:03263no change
8 Aug 2026, 01:15263+6
7 Aug 2026, 14:01257first reading

Engagement

9 posts held, back to 23 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
15.9%
avg views ÷ 284 subscribers
Avg views / post
45.1
9 posts measured
Reaction rate
37.9%
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 6 August 2026
Posts held9 (23 July 20266 August 2026)
Views total406
Reactions total154
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 09:03 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
50s
Average length
17s

Measured directly from 3 videos 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

154 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 46.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53999115377144077847146.1%
custom 53978768914472085603724.0%
💘1610.4%
custom 5377780503246027599127.79%
custom 5384512714158662079117.14%
🙈42.60%
🔥31.95%

Custom emoji. 4 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 9 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 154reactions 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 23 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.

Recent posts

6 Aug 2026, 17:14 UTC45 views26 reactionsread 8 August 2026
Photo

🤩Надо просто ловить момент и наслаждаться маленькими радостями жизни Джоджо Мойес

custom 539991153771440778413custom 53777805032460275998💘5

6 Aug 2026, 07:10 UTC59 views21 reactionsread 8 August 2026
Photo

😍❤️😁Какое все-таки красивое 😭😁😍издание

custom 539991153771440778412custom 53978768914472085605custom 53777805032460275994

5 Aug 2026, 10:39 UTC47 views24 reactionsread 8 August 2026
Photo

📚Прочитанное за июль Мой личный рекорд за месяц — 8 книг.Очень рада,что получилось перешагнуть свой порог.Надеюсь,что дальше буду двигаться в том же темпе. Хочется выделить книгу Марка Аврелия «Наедине с собой» и дилогию «О чем молчит река» Отзывы тут: Наедине с собой О чем молчит река (Вторая часть тоже очень понравилась) А вот «Клиника расходных пациентов» Ольги Коле меня разочаровала.Идея интересная,но исполне

custom 539787689144720856010custom 53999115377144077848💘6

30 Jul 2026, 09:22 UTC53 views15 reactionsread 8 August 2026
Photo

🌟🌟Почти год откладывала эту 🌟🌟книгу из-за противоречивых отзывов,но когда начала читать,поняла,что ошибалась «О чем молчит река» Изабель Ибаньез Если вы,как и я,обожаете атмосферные приключения в духе «Мумии» и «Индианы Джонса»,только с большей романтикой,то эта история вам понравится Только не рассчитывайте на сложный исторический детектив с запутанными головоломками.Это лёгкое,увлекательное чтение, которое не тр

custom 53999115377144077849🔥3custom 53978768914472085603

26 Jul 2026, 18:07 UTC44 views14 reactionsread 8 August 2026
Photo

До встречи,море🌊

custom 53999115377144077846custom 53845127141586620795custom 53978768914472085603

25 Jul 2026, 18:00 UTC41 views14 reactionsread 8 August 2026
Video

Video, posted without a caption

custom 53999115377144077848custom 53978768914472085604custom 53845127141586620792

24 Jul 2026, 17:38 UTC37 views15 reactionsread 8 August 2026
Photo

Если вы приехали в Сочи и не знаете куда сходить поужинать,то очень советую данное заведение 📌 ГОРЫНЫЧ от Альянса White Rabbit Family Эстетичное и очень вкусное место Безусловная рекомендация ____________________________ Также точки есть в Москве,Ростове-на-Дону и Новосибирске

custom 53999115377144077847custom 53845127141586620794custom 53978768914472085604

24 Jul 2026, 12:57 UTC34 views11 reactionsread 8 August 2026
Video

Ни один бульдог не останется незамеченным Обожаю этих булочек🥹

🙈4custom 53978768914472085604custom 53999115377144077843

23 Jul 2026, 13:54 UTC46 views14 reactionsread 8 August 2026
Photo

Снимаем тревожность с помощью вкусной еды и хорошей литературы📚🥪 Сейчас читаю «Наедине с собой» от Марка Аврелия 🖤🖤 Это личный дневник римского императора, который жил почти 2000 лет назад. Он не писал для публики, а записывал мысли для себя, чтобы стать лучше. Поэтому читается она как разговор с очень умным и рассудительным другом. Главная мысль простая: Мы не можем управлять тем, что происходит вокруг (погода, д

💘5custom 53999115377144077845custom 53978768914472085604

Showing the 9 most recent of 9 posts we hold for @viktorishevaa. 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 — 1,063,004 of 1,481,502entries 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.

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.

Named by

Channels on the register whose posts name this channel's handle.

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

“Обо всем по порядку” (@viktorishevaa), 284 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/viktorishevaa.

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.