Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 48% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
35 measurements spanning 42 days, net +7,781. 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 87,420–97,714 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:41
96,389
-117
15 Sept 2026, 11:37
96,506
-10
13 Sept 2026, 23:37
96,516
-8
12 Sept 2026, 09:40
96,524
-2
10 Sept 2026, 09:37
96,526
+64
7 Sept 2026, 02:14
96,462
+361
4 Sept 2026, 10:41
96,101
+33
2 Sept 2026, 19:57
96,068
+74
1 Sept 2026, 20:03
95,994
+44
31 Aug 2026, 22:16
95,950
+87
30 Aug 2026, 18:58
95,863
+236
29 Aug 2026, 21:44
95,627
+306
28 Aug 2026, 19:14
95,321
+285
27 Aug 2026, 21:32
95,036
+331
26 Aug 2026, 22:55
94,705
+361
26 Aug 2026, 02:08
94,344
+270
25 Aug 2026, 02:24
94,074
+323
23 Aug 2026, 13:55
93,751
+675
22 Aug 2026, 02:48
93,076
+514
20 Aug 2026, 19:12
92,562
first reading
Engagement
110 posts held, back to 29 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 101 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.94%
avg views ÷ 96,389 subscribers
Avg views / post
6,690
57 posts measured
Reaction rate
0.764%
reactions ÷ views · ER floor
Posts in window
57
of 110 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 23 September 2026
Posts held
110 (29 July 2026 – 23 September 2026)
Views total
381,340
Reactions total
2,913
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 11:19 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
Photos
≈2,560
Videos
≈794
Links
≈1,340
Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
32m 32s
Average length
35s
Measured directly from 55 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
6,021 reactions across 107 posts, in 14 distinct kinds. The most used accounts for 50.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,067
50.9%
🔥
1,391
23.1%
👍
918
15.2%
❤🔥
493
8.19%
⚡
51
0.847%
🤩
41
0.681%
🙏
34
0.565%
🦄
9
0.149%
🎉
5
0.083%
💔
5
0.083%
🏆
3
0.05%
🍌
2
0.033%
🍓
1
0.017%
🥰
1
0.017%
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 110 of the 110 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 6,283 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 110 most recent posts we hold, published 29 July 2026 to 23 September 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
3
across the posts below
Posts paid on
3
of 110 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @makcgalishnikov. 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 110 most recent posts we hold for this entry, published 29 July 2026 to 23 September 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.
ПОЧЕМУ ОДНОГО ХОРОШЕГО РЕЦЕПТА НЕДОСТАТОЧНО
Хороший рецепт подскажет, что и в какой последовательности делать.
Но что, если сковорода перегрелась? Мясо оказалось толще? Соус начал расслаиваться? Или одного ингредиента просто нет дома?
Тут уже недостаточно повторять инструкцию.
Важно понимать, что происходит с продуктом на каждом этапе и зачем вы делаете именно так.
Поэтому в клубе я даю не только рецепты. Мы разби…
Простой рецепт хинкали с говядиной
Здесь тесто состоит всего из трёх продуктов. Но просто соединить их недостаточно: плотность теста получается за счёт вымешивания, отдыха и нескольких раскаток со складыванием.
Начинка
Продукты:
Фарш из говядины — 200 г
Бульон говяжий — 220 г
Кинза, листья — 5 г
Мята, листья — 5 г
Лук репчатый — 50 г
Чеснок — 5 г
Хмели-сунели — 6 г
Если есть отдельная специя для хинкали, можно испо…
5 соусов для пасты от шефа
Идеальный соус для пасты — это не сложный рецепт, а понимание базы: жир, ароматические акценты и немного крахмальной воды.
Освоив эту логику, вы сможете собирать десятки соусов из того, что уже есть в холодильнике.
В Кулинарном клубе мы как раз учимся таким техникам: готовить быстрее, управлять вкусом и получать ресторанный результат без лишней возни.
Узнать больше про клуб >>>
Вы слишком мало требуете от фарша: 3 блюда из одной заготовки
Один фарш — три блюда. И всё подходит для заморозки.
За 15 лет на кухне я понял простую вещь: время экономит не быстрая готовка, а нормальная заготовка. Один раз смешали фарш, хорошо вымесили, отбили и дали ему постоять — дальше меняется только формовка и способ подачи.
База из индейки
Ингредиенты:
Фарш из бедра индейки — 800 гр
Свежий имбирь — 10 гр
Кин…
МОЯ ЛЮБИМАЯ КНОПКА — «ИЗБРАННОЕ»
У каждого со временем появляется свой набор блюд: любимый суп, быстрый ужин, удачный соус или завтрак, который хочется повторять.
В приложении их не нужно сохранять скриншотами или искать среди сообщений.
Понравился рецепт — добавили в «Избранное».
И большая библиотека постепенно превращается вашу личную кулинарную базу — только из того, что подходит именно вам.
А когда снова во…
Тажин с курицей и курагой
Ингредиенты:
Куриные бедра (без костей) — 400 г
Курага — 100 г
Лук репчатый — 70 г
Морковь — 100 г
Чеснок — 5 г
Имбирь свежий — 10 г
Тмин — 1 ч. л.
Корица — 1/2 ч. л.
Куркума — 1 ч. л.
Соль — 1 ч. л.
Оливковое масло — 20 мл
Бульон (куриный) — 250 мл
Миндаль — 20 г
Петрушка — 10 г
Технология приготовления:
1. Куриные бедра нарезаем на крупные куски.
2. Лук и чеснок мелко нарезаем, морковь…
Скрэмбл и авокадо 🥑
Яичница прожарки медиум — это тот самый скрэмбл, который не успели превратить в резину.
Главное правило: небольшой огонь и постоянное движение силиконовой лопаткой. Яичная масса должна схватиться, но остаться мягкой и влажной.
Ингредиенты:
Авокадо — 1 шт.
Яйца — 2 шт.
Сметана — 50 гр
Сливочное масло — 30 гр
Оливковое масло — 15 гр
Сок лимона — 5 гр
Хлеб — 1 ломтик
Хлопья чили — 0,5 гр
Зелёный л…
ПОЧЕМУ Я НЕ ПРОДАЮ КАЖДЫЙ КУРС ОТДЕЛЬНО
Можно было бы сделать проще:
Отдельно продавать курс по хлебу.
Отдельно — хинкали и хачапури.
Отдельно — «Систему шефа», сборники, готовые меню и базу рецептов.
Но я специально собрал всё в одной подписке.
Потому что кулинария так не работает.
Сегодня вы хотите научиться делать хороший хлеб, через неделю ищете быстрый ужин, потом решаете разобраться с заготовками или пригото…
3 рецепта заготовок для морозилки
Иногда не нужен десяток продуктов, чтобы готовить разнообразно. Я делаю один замес фарша — и дальше просто играю с формой и приёмами.
Из этой базы получаются четыре блюда:
Кебаб из говядины — основа
Ингредиенты:
Фарш говяжий — 800 гр
Лук — 100 гр
Жёлтый перец — 100 гр
Кинза — 10 гр
Соль — 8 гр
Чёрный перец — 1 гр
Хмели-сунели — 10 гр
Технология:
1. Лук и перец нарезать мелким куб…
7 текстур одного яйца: всё решают температура и время
1. Онсэн (су-вид)
Поместить яйцо в су-вид.
Готовить при 63 °C в течение 60 минут.
Быстро охладить и подавать, чистить аккуратно, супер нежность
2. Глазунья
Разогреть сковороду с небольшим количеством масла.
Разбить яйцо, можно через форму кольцо, как у меня.
Готовить на среднем огне 2–4 минуты, пока белок полностью не схватится.
3. Глазунья во фритюре
Приготови…
Как сделать сливочный соус без сливок
#шефхаки
Чтобы получить густой, гладкий соус, сливки нужны не всегда.
Технология:
Оставьте немного воды после варки пасты. Добавьте её к соусу, убавьте огонь и постепенно вмешайте холодное сливочное масло.
В чем секрет:
Крахмал из воды помогает соединить воду и жир в устойчивую эмульсию. В результате соус становится гладким, блестящим и хорошо обволакивает пасту — вместо того …
Вы замораживаете ужин. Шеф замораживает выбор
Заготовки работают, когда вы понимаете, что замораживать отдельно, а что — готовым блюдом.
Так морозилка превращается из хаоса контейнеров в удобную базу быстрых ужинов. Это и есть «Система Шефа».
В клубе вы получите готовые схемы заготовок, рецепты и понятные инструкции, чтобы экономить время на готовке и каждый день быстро собирать разные ужины.
👉🏼 ВСТУПИТЬ В КУЛИНА…
❤16👍6🔥5
Showing the 12 most recent of 110 posts we hold for @makcgalishnikov. 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.
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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Энди шеф — бесплатные рецепты @blog_andychef · 117,529 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 14 August 2026
Елена Обухова «Королева Кухни» @CLAoiy267rgyMzUy · 22,838 Telegram ranks this channel #18 of 86 here — alongside 85 others — read 19 September 2026
venera_os 🍍 Венера Осепчук @venera_oss · 142,341 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 13 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Макс Галишников” (@makcgalishnikov), 96,389 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/makcgalishnikov.
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.