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Channel

Историк Мод Анатоль Вовк

@istorikmod

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

25,954subscribers

-22 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001537016799
TypeChannel
Username@istorikmod
Created4 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/istorikmod

Growth

25,94825,99025,9696 August 2026 — 25,976 subscribers6 August 2026 — 25,976 subscribers7 August 2026 — 25,983 subscribers8 August 2026 — 25,990 subscribers9 August 2026 — 25,986 subscribers10 August 2026 — 25,981 subscribers11 August 2026 — 25,976 subscribers12 August 2026 — 25,970 subscribers13 August 2026 — 25,967 subscribers14 August 2026 — 25,948 subscribers16 August 2026 — 25,963 subscribers17 August 2026 — 25,954 subscribers25,9546 August 202617 August 2026
12 measurements spanning 11 days, net -22. 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 25,942–25,996 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 18:1325,954-9
16 Aug 2026, 14:4425,963+15
14 Aug 2026, 19:0425,948-19
13 Aug 2026, 07:5625,967-3
12 Aug 2026, 05:3625,970-6
11 Aug 2026, 03:3725,976-5
10 Aug 2026, 01:5125,981-5
9 Aug 2026, 03:5325,986-4
8 Aug 2026, 01:3225,990+7
7 Aug 2026, 03:5725,983+7
6 Aug 2026, 10:0125,976no change
6 Aug 2026, 09:5925,976first reading

Engagement

36 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.80%
avg views ÷ 25,954 subscribers
Avg views / post
1,250
36 posts measured
Reaction rate
6.65%
reactions ÷ views · ER floor
Posts in window
36
of 36 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 16 August 2026
Posts held36 (4 August 202616 August 2026)
Views total44,829
Reactions total2,980
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 13:56 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
10m 04s
Average length
1m 00s

Measured directly from 10 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

2,980 reactions across 36 posts, in 15 distinct kinds. The most used accounts for 63.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,88063.1%
🔥52217.5%
👍38012.8%
👏933.12%
😱341.14%
🎉190.638%
🤔150.503%
😍140.47%
😢80.268%
💯50.168%
🤯30.101%
👌20.067%
🕊20.067%
😁20.067%
🙏10.034%

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 36 of the 36 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 2,980reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 4 August 2026 to 16 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
61
across the posts below
Posts paid on
9
of 36 we hold a reading for · 25%
Most on one post
52
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @istorikmod. 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 36 most recent posts we hold for this entry, published 4 August 2026 to 16 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

16 Aug 2026, 16:00 UTC≈1,090 views89 reactionsread 17 August 2026
Photo

Сегодня день рождения отмечает Мадонна - артистка, чьё влияние давно выходит далеко за пределы музыки. За более чем 40 лет карьеры она не просто меняла свой стиль, а фактически создавала новые модные эпохи. В начале карьеры Мадонна сделала узнаваемыми пышные юбки из тюля, кружевные перчатки, крупные банты и нарочито дерзкие образы. Позже она постоянно меняла эстетику вместе с музыкальными альбомами - от ковбойского

55🔥22👏9🤔3

16 Aug 2026, 06:05 UTC≈1,210 views81 reactionsread 17 August 2026
Photo

Хочу показать вам два очень разных образа с премьеры третьего сезона сериала "Спецназ: Львица" в Нью-Йорке - Зои Салдана и Николь Кидман выбрали совершенно разное настроение. Зои появилась в чёрном бархатном платье Balmain из дебютной коллекции Антонина Трона, на показе которой я был в Париже. Глубокое декольте, акцентные плечи, плотные колготки и туфли Aquazzura сделали образ довольно классическим. Завершили его ук

59👍22

15 Aug 2026, 12:14 UTC≈1,290 views57 reactionsread 17 August 2026
Photo

Одной из заметных коллекций позднего периода работы Мартина Маржелы стал сезон весна-лето 2006. Здесь дизайнер продолжил работать с идеей незавершённости - одна сторона образа выглядела законченной, а другая постепенно переходила в необработанную ткань. В некоторых образах даже оставались прикреплённые куски материала, будто одежда ещё находится в процессе создания. Интересно выглядели и украшения - ожерелья и брас

46👍6😱5

15 Aug 2026, 09:05 UTC876 views64 reactions1 Starread 16 August 2026
Photo

Результаты новых съёмок.

🔥3922👍3

15 Aug 2026, 07:36 UTC988 views75 reactions1 Starread 16 August 2026
Photo

В Петербурге не расстаюсь с камерой. Снимаю почти что всегда.

58🔥13👍4

14 Aug 2026, 15:01 UTC≈1,280 views76 reactionsread 16 August 2026
Photo

Николь Кидман появилась на обложке сентябрьского номера British Vogue, и, кажется, её здесь действительно сложно узнать. Для съёмки она примерила совершенно разные образы. На обложке она в свитшоте Stella McCartney и джинсах Hermès. В самой съёмке на ней: меховое пальто, серьги и сумка Givenchy, брюки Khaite и обувь Tory Burch; шёлково-сатиновое платье Dolce & Gabbana, также с обувью Tory Burch; платье Alberta Ferre

72🤔4

14 Aug 2026, 13:23 UTC848 views44 reactionsread 15 August 2026
Video

Хочу показать вам украшения Арины Соболенко, которые она выбрала для выхода на Уимблдоне. Здесь всё очень символично - зелёные изумруды напоминают травяные корты турнира и одновременно являются камнем-талисманом теннисистки. Особенно интересно выглядит браслет на ноге - его украшают сразу 27 изумрудов сердцевидной огранки. В видео детальнее рассматриваю весь комплект.

24👍10🔥10

14 Aug 2026, 13:20 UTC863 views45 reactionsread 15 August 2026
Video

Не успели мы отойти от ограбления Лувра, как во Франции произошло новое - на этот раз в музее Lalique. Среди 27 украденных украшений мне особенно жалко было кулон Рене Лалика в виде женщины-стрекозы с расправленными крыльями. Это один из первых экспонатов, которые музей приобрёл ещё до своего открытия. В видео рассказываю, чем этот кулон так примечателен.

😱298😢8

13 Aug 2026, 21:49 UTC≈1,230 views66 reactionsread 15 August 2026
Photo

Бренд Даниила Анциферова продолжает покорять всё больше зарубежных звёзд. На этот раз ряды поклонниц пополнила британская молодая певица PinkPantheress, которая зажгла на сцене фестиваля Outside Lands в культовом бралетте Daniil Antsiferov. Как мне кажетс, её выступление, энергия и этот образ - идеальное сочетание с дерзкой и женственной эстетикой бренда.

👍3827😁1

13 Aug 2026, 13:58 UTC≈1,270 views49 reactionsread 15 August 2026
Video message

Video message, posted without a caption

29🔥16👍4

13 Aug 2026, 13:32 UTC≈1,230 views62 reactionsread 15 August 2026
Photo

Louis Vuitton выпустил две эксклюзивные версии Porsche 911 вместе с американской компанией Singer, которая занимается восстановлением и доработкой классических автомобилей. Над одной из моделей работал лично Николя Жескьер. Для автомобиля креативный директор женской линии французского бренда выбрал кремово-белый цвет, декор из дерева и кожаный интерьер. По его словам, на дизайн вдохновлен классическими моторными лод

40🔥15👍7

13 Aug 2026, 10:00 UTC890 views59 reactionsread 14 August 2026
Photo

Когда говорят о моде 1980-х, обычно вспоминают Тьерри Мюглера, Джанни Версаче или Аззедина Алайю. Но сегодня я хочу поговорить о Клоде Монтане. Он помог сформировать один из самых узнаваемых силуэтов десятилетия - очень широкие плечи, узкая талия, вытянутые бедра и длинная линия ног. Сегодня этот силуэт кажется почти карикатурным образом 1980-х, но для Монтаны он был способом создать новый образ женщины. Его одежда

👍3422🔥3

Showing the 12 most recent of 36 posts we hold for @istorikmod. 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.

Posts edited after publishing

@istorikmod edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 190,936 of 1,480,975entries 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

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 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.

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

“Историк Мод Анатоль Вовк” (@istorikmod), 25,954 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/istorikmod.

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.