4 measurements spanning 8 days, net -32. 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 9,460–9,505 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 01:03
9,465
-13
11 Aug 2026, 07:44
9,478
-22
8 Aug 2026, 04:56
9,500
+3
7 Aug 2026, 09:48
9,497
first reading
Engagement
9 posts held, back to 27 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
18.0%
avg views ÷ 9,465 subscribers
Avg views / post
1,700
9 posts measured
Reaction rate
3.97%
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
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
9 (27 July 2026 – 11 August 2026)
Views total
15,330
Reactions total
608
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 15:09 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
38s
Average length
38s
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
608 reactions across 9 posts, in 16 distinct kinds. The most used accounts for 37.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
229
37.7%
🔥
118
19.4%
👍
59
9.70%
🤣
53
8.72%
❤🔥
44
7.24%
💯
32
5.26%
😍
27
4.44%
🤩
11
1.81%
🥰
10
1.64%
😁
5
0.822%
💘
4
0.658%
🙏
4
0.658%
✍
3
0.493%
👏
3
0.493%
🤗
3
0.493%
🤝
3
0.493%
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 608reactions 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 27 July 2026 to 11 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.
Advertising
Ad load
11.1%
1 of 9 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,580
over 1 measured post
Median views · rest
1,710
over 8 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqueS1mu
1
10 August 2026
10 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 9 most recent posts we hold, published 27 July 2026 to 11 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Ароматы, к которым чаще всего тянется рука в жару:
🌟GUAVA SORBET house of brandt
Сочный, прохладный, почти ледяной аромат — будто в жаркий день тебе подают огромную чашку гуавового сорбета, только что вынутого из морозилки. Влажный, яркий, тропический, с ощущением холодного фруктового сока на губах.
🌟VANILLA VIBES juliette has a gun
Ваниль, которую хочется есть ложкой прямо из банки. Но это не тёплая зимняя ваниль …
Кухня, которая выглядит на 1 000 000, может стоить 350 000 😱
Оказалось, это реально, если не переплачивать за салон в дорогой локации, за раскрученное название, за красивую подачу, за огромный штат менеджеров. А еще, если проектировать мебель грамотно 💫
В кухнях «Лавелла» сначала продумывают композицию, хранение, пропорции, удобство — а уже потом подбирают материалы, которые работают на результат без лишней перепла…
Осень не за горами, а значит, пора готовить детей к школе! 🤍
А помимо этого лето в самом разгаре, наконец-то началась жара, так что самое время для летнего гардероба. 🍓
💥Мы с TOTTI KIDS решили порадовать вас и подарить сертификат на 3000 рублей на заказ у них на сайте.
Вдохновение бренда — дети и их активный образ жизни. Поэтому они создают функциональную одежду, уделяя особое внимание комфорту. А еще вся их одежд…
Первая настолка, в которую Марк играет с большой охотой — Лапки прочь. Очень рекомендую ее для первого знакомства с настольными играми. ☺️
Это командная игра, где выигрывают все (и проигрывают тоже вместе). Суть игры такая:
⬇️Нужно искать парные карточки на поляне, играя против ежиков, которые пытаются украсть этих. Если игроки находят пару, то эти карточки спасены. А если ошибаются, то ежик двигается вперед и крад…
Мне кажется, каждому родителю знакома ситуация, когда все игры переиграны, игрушки надоели, фантазия закончилась, а ребенок требует внимания и развлечений. А ты уже просто не знаешь, чем заняться… 🐻
Всегда думала, вот бы найти какой-то сервис, где будет огромная база идей для времяпровождения с ребенком. И оказалось, что такое реально бывает! (Вселенная, спасибо тебе). Называется ИГРОЛОВ.
Теперь таких вопросов воо…
Недавно ловила себя на мысли, как меняется глубина родительской паники. В нашем детстве нормально было уйти во двор в 12 и вернуться к закату, а если задержался — ну, максимум отгребешь от мамы у дверей. 😬
Сейчас, если у ребенка 15 минут недоступен телефон или баланс в нуле, внутри поднимается тревога. Помню это беспомощное чувство, когда сама в детстве потерялась в торговом центре.
Здорово, что сейчас эти детские …
Пересматриваю сериал «Элита» и не могу не обратить внимание на безупречную школьную форму героев. Вы же помните, как мы все не любили форму в школе и хотели носить рваные джинсы на уроки? Кажется, сейчас все изменилось, потому что я не знаю, как можно не хотеть носить такую форму, как у героев сериала. ❤️
⬇️LIMÉ как раз выпустили коллекцию одежды к школе. Мне она напомнила тот самый вайб «Элиты», я даже для своих вз…
В Gloria Jeans новая коллекция «спелое лето» для мальчиков. Взяла Марку шикарные штаны-парашюты, лонг и кофты. Сейчас такая непредсказуемая погода — то жара, то холод, что нужно иметь в гардеробе не только легкие футболки. ☺️
Кстати, эти штаны оказались супер универсальными, в них и не жарко, и не холодно, так что советую присмотреться.
🪩И стоит ли напоминать, почему мы любим Gloria Jeans? За топовое качество, адек…
❤29😍15👍6❤🔥5🥰5🔥4
Showing the 9 most recent of 9 posts we hold for @proseccomame. 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.
Posts edited after publishing
@proseccomame 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
12 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 267,801 of 1,350,102entries 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
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Просекко маме, пюре детям” (@proseccomame), 9,465 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/proseccomame.
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.
