5 measurements spanning 10 days, net +13. 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 2,584–2,610 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 12:58
2,604
-3
14 Aug 2026, 14:04
2,607
+20
11 Aug 2026, 08:32
2,587
-4
7 Aug 2026, 18:03
2,591
no change
7 Aug 2026, 17:55
2,591
first reading
Engagement
20 posts held, back to 1 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
6.56%
avg views ÷ 2,604 subscribers
Avg views / post
171
8 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 4 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
20 (1 July 2026 – 6 August 2026)
Views total
1,366
Reactions total
16
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:03 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.
Reaction mix
45 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 26.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12
26.7%
🔥
10
22.2%
👍
8
17.8%
💯
7
15.6%
👏
6
13.3%
😍
2
4.44%
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 13 of the 20 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 45reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 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.
Advertising
Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
209
over 1 measured post
Median views · rest
214
over 17 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
2W5zFHjP9Hs
1
14 July 2026
14 July 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 20 most recent posts we hold, published 1 July 2026 to 6 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.
Почему я всегда закрываю период в iiko
Сегодня операционный директор ресторана, где я веду финансовый учет, попросил открыть закрытый период в iiko.
Нужно было внести несколько изменений в накладные.
Мы открыли период.
Внесли изменения.
И сразу же снова его закрыли.
Потому что уже несколько лет я считаю закрытие периода обязательным правилом управленческого учета.
Именно поэтому на каждом аудите я всегда проверяю две…
41 килограмм лосося в излишках. Хорошая инвентаризация?
Коллеги, сегодня хочу поделиться одним показательным случаем из аудита.
По результатам инвентаризации в заведении обнаружили 41 килограмм лосося в излишках.
На первый взгляд можно даже обрадоваться.
Не недостача же.
Товар на месте, денег ресторан вроде бы не потерял.
Но есть один нюанс.
В инвентаризации себестоимость лосося составляла около 41 рубля за килогр…
Беги и ешь: в Москве снова пройдет гастрономический забег RUN & EAT
Коллеги, нашла мероприятие, в котором соединили сразу три вещи: спорт, ресторанную индустрию и благотворительность.
16 августа на Поклонной горе пройдет девятый гастрономический забег RUN & EAT. Организаторы ожидают более 3500 участников.
🔷 Как это работает
Можно выбрать дистанцию 5 или 10 км, для детей предусмотрены забеги на 500 метров и 1 км.
Но…
Коллеги, всем привет !
Немного не в тему инвентаризаций, но не могу не написать.
Недавно была оштрафована сеть ресторанов за рекламу алкоголя, где работает мой коллега.
Разумеется не было никакой рекламы, но у них были акции на алкогольные напитки.
Вот такую информацию он мне прислал:
Главные правила и ограничения
Запрет на продажу ниже МРЦ: Нельзя продавать крепкий алкоголь (водку, коньяк и др.) дешевле минимальны…
Почему инвентаризация - это не бухгалтерия
Очень часто слышу фразу:
"Это бухгалтерия занимается инвентаризацией."
Именно с этого начинается одна из самых больших ошибок в управлении рестораном.
🔷 Да, бухгалтер-калькулятор организует учет, рассчитывает результаты и готовит отчеты.
Но это совсем не означает, что инвентаризация - бухгалтерский процесс.
Потому что бухгалтерия лишь фиксирует результат.
А сам результат рож…
Кто отвечает за результаты инвентаризации?
Когда я провожу аудиты ресторанов, меня очень часто просят проверить работу бухгалтера-калькулятора.
И почти всегда за этим скрывается один и тот же вопрос:
"Это бухгалтер плохо работает или производство?"
На самом деле вопрос поставлен неправильно.
🔷 Прежде всего нужно понять, за что вообще отвечает бухгалтер-калькулятор.
Его задача - обеспечить корректный учет.
Он до…
Зачем нужна инвентаризация?
Привет, коллеги.
Вопрос, наверное, звучит странно. Казалось бы, зачем нужна инвентаризация, и так понятно:
Проверить остатки. Найти недостачи. Сверить учет с фактом.
Но на практике я очень часто вижу совсем другой подход.
Результаты инвентаризации бесконечно переделывают, закрывают пересортами, корректируют документами и стараются привести к цифрам, которые будут выглядеть приемлемо.
…
Коробки для пиццы, которым было уже несколько лет
В прошлом посте я написала, что иногда затраты не равны расходам.
И обещала отдельно поговорить про хозтовары и упаковку.
Рассказываю реальный кейс из практики.
🔷 У поставщиков хозтоваров часто есть минимальная сумма заказа.
А у производителей брендированной упаковки могут быть еще и минимальные объемы по отдельным видам продукции.
И это вполне понятно.
Поставщику нев…
Вы сократили расходы. А они вообще были расходами этого месяца?
В прошлом посте я приводила пример ресторана, который по отчету сработал в минус.
Хотя проблема была не в работе ресторана.
Минус появился в ОПиУ.
И здесь есть один очень важный момент.
🔷 Когда собственник видит падение прибыли, что он делает?
Начинает искать, где сократить расходы.
ФОТ высокий.
Маркетинг дорогой.
Закупки выросли.
Надо экономить.
Вполне …
Ресторан сработал в минус. Или вам так показал отчет?
Коллеги, добрый день!
Представьте: вы открываете отчет за июнь и видите, что ресторан сработал в минус.
Хотя месяц был хороший.
Гости были.
Продажи были.
Банкеты были.
Доставка работала.
И вроде бы по ощущениям ресторан точно не должен был уйти в минус.
Но отчет говорит обратное.
И вот здесь у собственника обычно появляется два варианта:
❌ начать срочно сокращать…
🔷 И вот здесь для меня главный вопрос не в том, знаете ли вы, что такое ОПиУ и ДДС.
Их сегодня действительно знают практически все.
Вопрос в другом:
насколько вы доверяете прибыли, которую видите в своем ОПиУ?
Потому что на практике я очень часто вижу, как эти две вещи смешивают.
В ОПиУ попадают оплаты за несколько месяцев вперед. Расходы прошлых периодов. Платежи, которые вообще относятся к другим месяцам.
А потом …
❤2😍2👍1
Signed Karina Sharipova Consulting
Showing the 12 most recent of 20 posts we hold for @stuffy_girl. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 1 July 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 1,283,458 of 1,550,220entries 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“ikpi Ресторатор: экономика и управление” (@stuffy_girl), 2,604 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/stuffy_girl.
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.
