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АКАДЕМИЯ STANFOOD

@stanfoodacademy

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

5,020subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001571692694
TypeChannel
Username@stanfoodacademy
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/stanfoodacademy

Growth

5,0195,0255,0226 August 2026 — 5,024 subscribers7 August 2026 — 5,025 subscribers10 August 2026 — 5,019 subscribers14 August 2026 — 5,020 subscribers5,0206 August 202614 August 2026
4 measurements spanning 7 days, net -4. 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 5,018–5,026 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:485,020+1
10 Aug 2026, 15:575,019-6
7 Aug 2026, 18:105,025+1
6 Aug 2026, 22:475,024first reading

Engagement

11 posts held, back to 15 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 5,020 subscribers
Avg views / post
630
9 posts measured
Reaction rate
1.64%
reactions ÷ views · ER floor
Posts in window
9
of 11 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 11 August 2026
Posts held11 (15 July 202611 August 2026)
Views total5,674
Reactions total93
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:56 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.

Reaction mix

115 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3631.3%
3429.6%
👍3127.0%
😍76.09%
💯54.35%
👏10.87%
🤔10.87%

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 11 of the 11 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 15 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.

Recent posts

11 Aug 2026, 15:55 UTC201 views1 reactionsread 12 August 2026
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Мы продолжаем развивать канал и делать его максимально полезным для вас. Хотим, чтобы каждый пост попадал в точку, давал идеи, лайфхаки и вдохновение) 🖥Для этого нам важно знать ваше мнение - пройдите опрос и помогите нам стать еще лучше👇🏻

1

6 Aug 2026, 12:10 UTC456 views9 reactionsread 12 August 2026
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🔥 УСПЕЙТЕ ЗАБРОНИРОВАТЬ КУРСЫ ПО СУПЕРЦЕНАМ! До 1 сентября на многие курсы гастроакадемии STANFOOD действует специальная цена — скидка 5 000 рублей! Подборка курсов, которые стоит забронировать уже сейчас: 🍽️ АВТОРСКИЙ ВКУС: КАК СОБИРАТЬ НОВЫЕ СОЧЕТАНИЯ НА КУХНЕ Двухдневный практический курс Рената Царицанского — шеф-повара Grace Bistro и ресторана Pomme Verte, который экспериментирует с открытым огнём, ферментаци

👍4🔥32

4 Aug 2026, 15:22 UTC≈1,060 views20 reactionsread 12 August 2026
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🥐 ЧЕК-ЛИСТ «Виды теста» Знать виды теста — лишь первый шаг. По-настоящему важно разбираться в их скрытых нюансах, поведении и особенностях. Понять их — значит перестать гадать и начать управлять результатом! Екатерина Сваровская, шеф-пекарь и технолог с более чем 20-летним опытом, рассказала о главных принципах работы с тестом: -ключевые правила, -типичные ошибки -области применения для песочного, дрожжевого, слоён

👍11🔥63

30 Jul 2026, 10:20 UTC643 views7 reactionsread 12 August 2026
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🤖 ПЕРВЫЙ ИИ-РЕСТОРАН уже открылся? Похоже, искусственный интеллект всё активнее становится частью ресторанной индустрии. Компания Inno clouds представила первый в России ресторан, в котором с посетителями работают ИИ-официанты и кассиры. В нем ИИ помогает автоматизировать работу заведения: от общения с гостями и обработки заказов до персональных рекомендаций и управления процессами. Такие проекты показывают, что т

7

27 Jul 2026, 08:44 UTC714 views17 reactionsread 12 August 2026
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🥨 СЕКРЕТЫ СОВЕТСКОЙ ШКОЛЫ: выпечка по ГОСТ Советские булочные — это не просто ностальгия, а целая система, в которой вкус, доступность и стабильность были выстроены технологически. Дмитрий Нестеров, пекарь и преподаватель STANFOOD, знает эти рецепты изнутри. Он рассказывает, почему хлеб по ГОСТ был таким, какие приёмы из того времени работают сегодня и что на самом деле стоит за «вкусом детства» Ответы смотрите в к

8👍5🔥4

23 Jul 2026, 16:32 UTC≈1,010 views18 reactionsread 12 August 2026
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📈 СУ-ВИД: СОВЕТЫ ОТ ЭКСПЕРТА Су-вид — технология приготовления в вакууме при низкой температуре. Она сохраняет вкус, текстуру и полезные свойства продуктов, экономит время и сокращает потери. Михаил Степанов, шеф-повар, фудтех-эксперт и основатель фабрики сувидной продукции, рассказывает про ошибки новичков, хранение и маркировку продукции, необычные заготовки👇🏻 1. Какая самая частая ошибка начинающих при работе с

🔥96💯2👍1

21 Jul 2026, 14:25 UTC686 views2 reactionsread 12 August 2026

🔥 ПОДБОРКА КУРСОВ НА БЛИЖАЙШЕЕ ВРЕМЯ Лето в самом разгаре и мы продолжаем знакомить вас с приближающимися курсами. Выбирайте своё направление — и регистрируйтесь, пока есть места. 🥩 МЯСО И СТЕЙКИ Курс Артёма Сенчина по приготовлению стейков из говядины: выбор и подготовка мяса, маринование, жарка, работа с отрубами, ростбиф, тартар и технологии zero waste — использование туши от носа до хвоста. Даты: 25 июля Стоимос

👍1😍1

18 Jul 2026, 09:50 UTC700 views16 reactionsread 12 August 2026
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🍣 РЕЦЕПТ: Соус Ахи-Амарильё — идеальное дополнение к роллам и морепродуктам Автор рецепта — Курсант Хан, бренд-шеф сети ресторанов Asia и концепт-шеф японского направления ресторана Aist by Novikov. Сливочно-пикантный, с лёгкой сладостью и приятной остринкой — этот соус превращает даже простой ролл в блюдо, которое хочется заказать снова! Рецепт и точные пропорции в карточке, сохраняйте! 🙌🏻

👍7🔥5💯3🤔1

16 Jul 2026, 08:39 UTC692 views11 reactionsread 12 August 2026
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В гастроакадемии STANFOOD пройдет авторский курс концепт-шефа Станислава Песоцкого «Мясо. Рыба. Соусы». 🔜Проект разработан специально для академии и не имеет аналогов: четыре дня интенсивной работы под руководством концепт-шефа гастротеатра SVET. Курс посвящен глубокому погружению в мир белковых деликатесов. В программе — отработка техник, которые меняют подход к приготовлению мяса, птицы и рыбы: работа с открытым

🔥5😍5👏1

15 Jul 2026, 10:15 UTC662 views11 reactionsread 9 August 2026
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🍸ТОП-3 БАЗЫ для летнего напитка Летом холодные напитки приносят кафе основной доход. Но чтобы они приносили стабильный результат, важно понимать логику каждой базы. Илья Поликарпов — бариста-тренер — разобрал главные правила, типичные ошибки, рабочие сочетания и идеальная подача для трёх основ: матчи, эспрессо и чая. Листайте и сохраняйте чек-лист🙌🏼 Если хотите узнать больше — на курсе «Летние напитки. Конструктор

4🔥4👍2😍1

Showing the 11 most recent of 11 posts we hold for @stanfoodacademy. 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 — 7,614 of 1,481,243entries 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

Named by 4 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.

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

“АКАДЕМИЯ STANFOOD” (@stanfoodacademy), 5,020 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/stanfoodacademy.

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.