Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
12 measurements spanning 36 days, net -31. 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 6,657–6,698 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 08:01
6,662
-3
7 Sept 2026, 20:19
6,665
-10
2 Sept 2026, 13:07
6,675
-1
30 Aug 2026, 16:16
6,676
-2
27 Aug 2026, 22:16
6,678
+1
24 Aug 2026, 23:15
6,677
-1
21 Aug 2026, 08:23
6,678
-10
18 Aug 2026, 04:45
6,688
-2
14 Aug 2026, 18:46
6,690
+4
11 Aug 2026, 18:41
6,686
-7
7 Aug 2026, 14:01
6,693
no change
7 Aug 2026, 13:55
6,693
first reading
Engagement
33 posts held, back to 26 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 10 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.18%
avg views ÷ 6,662 subscribers
Avg views / post
145
3 posts measured
Reaction rate
2.06%
reactions ÷ views · ER floor
Posts in window
3
of 33 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 20 August 2026
Posts held
33 (26 July 2026 – 20 August 2026)
Views total
436
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Aug 2026, 05:17 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
15m 30s
Average length
28s
Measured directly from 33 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
104 reactions across 33 posts, in 5 distinct kinds. The most used accounts for 87.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
91
87.5%
😍
6
5.77%
👍
5
4.81%
👏
1
0.962%
😇
1
0.962%
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 33 of the 33 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 104 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 26 July 2026 to 20 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.
🔣Легендарные воздушные панкейки на 30 г белка, это отвал вкусовых сосочков, делюсь
Ингредиенты на 4 шт:
2 яйца С1
мягкий творог 150г
рисовая мука 40г
подсластитель, щепотка соли, ванилин по вкусу
Приготовление:
Белки отделяем от желтков и к желткам добавляем все остальные ингридиенты и перемешиваем.
Белки взбиваем до крепких пиков и аккуратно именно лопаткой вмешиваем в тесто движениями как на видео, далее жа…
🔣Итальянская пп картошка, без сахара и лишних калорий.
Такая картошка точно не навредит твоей фигуре всего 122 ккал на 100г
Ингредиенты:
Шарики хрустлайт-60г
Греческий йогурт-100г
Крепкий кофе -30мл
Сах зам по вкусу у меня-2г Какао-15г
Для подачи: Греческий йогурт-100г Сах зам по вкусу
Приготовление:
Шарики измельчить в блендере добавить греческий йогурт , кофе с Сах замом смешать , скатать шарики и обвалять в кака…
🔣Вкусно, быстро, сбалансированно
КБЖУ на 2 тоста: 287/14/6/43
Ингредиенты:
хлеб - 100 гр.~ 2 ломтика
сливочный/творожный сыр- 20 гр.
зелень, огурец
плавленый сыр (он же в рилс с бургером)
ветчина из индейки «Индилайт» - один слайс
Приятного аппетита!❤️
🔣Объедение и настоящая находка для любителей выпечки
Быстро и без вреда для фигуры
КБЖУ на 100 гр: 140/13,5/5,1/10,6
Ингредиенты: Протеин (белок) 50 гр ( у меня со вкусом мороженого)
Кефир 150 гр
Яйцо 1 шт
Мука любая ( у меня цельнозерновая) 30 гр
Соль по вкусу
Разрыхлитель
Масло для смазывания сковороды 3 гр ( можно на антипригарной бе масла)
Приятного аппетита!❤️
🔣Сырники за 10 минут 33.6гр белка
⠀
Ингредиенты:
180 гр творог
1 желток
щепотка соли
1 чл сахар или сахзам
30 гр рисовая мука
⠀
Приготовление:
Смешать все ингредиенты, скатать шарики и стаканом на муке сделать форму сырника. Обжарить на сухой сковородке по 3-5 минут или в аэрогриле так же 3-5 минут с каждой стороны пои 200 градусах, или в духовке. Из белка я сделала гоголь моголь для сырников, сбила белок с сахзамом.…
🔣Горячие бутерброды“Яичное одеяло"/готовлю сбалансированный завтрак на 4 дня
КБЖУ на 1 порцию/1 контейнер:362/29/16/23
Ингредиенты( на 1 порцию):
Яйца — 2 шт
Хлеб тост — 36 г
Лук зеленый — 10 г
Сыр легкий — 30 г
Молоко отборное — 25 г
Индейка филе — 30 г
Томаты коктейльные — 50 г
Соль,перец по вкусу
Приготовление:В глубокой миске смешиваем яйца, молоко, соль и перец венчиком. Добавляем нарезанные томаты,лук и всё …
❤2
Showing the 12 most recent of 33 posts we hold for @pp_zozhh. 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.
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.
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.
ПП ПОХУДЕНИЕ РЕЦЕПТЫ @pp_poxydenie · 28,998 Telegram ranks this channel #8 of 79 here — alongside 78 others — read 8 September 2026
ПП РАЦИОНЫ ПП РЕЦЕПТЫ @nyam_pp @nyam_pp · 50,193 Telegram ranks this channel #10 of 88 here — alongside 87 others — read 25 August 2026
Диеты | Питание | Здоровье @dietapit_web · 36,232 Telegram ranks this channel #13 of 51 here — alongside 50 others — read 1 September 2026
ПП РЕЦЕПТЫ 🥑 @pp_recepti_pp · 29,872 Telegram ranks this channel #14 of 80 here — alongside 79 others — read 8 September 2026
ПП рецепты @avokado_xudeet · 95,604 Telegram ranks this channel #16 of 86 here — alongside 85 others — read 16 August 2026
EatClean | ПП РЕЦЕПТЫ И МЕНЮ @eatclean_menu · 85,108 Telegram ranks this channel #17 of 88 here — alongside 87 others — read 18 August 2026
Диетические рецепты. Правильное питание @dietrecepti · 83,488 Telegram ranks this channel #18 of 90 here — alongside 89 others — read 18 August 2026
ПП ЛЕГКО И ВКУСНО | ПП Меню | ПП рецепты | Правильное питание @pp_legko_i_vkusno · 35,410 Telegram ranks this channel #20 of 89 here — alongside 88 others — read 2 September 2026
Рецепты ПП: правильное питание @ppfoodrecept · 44,695 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 28 August 2026
Рецепты пп @vkusno_polezno_pp · 69,891 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 20 August 2026
Правильное питание | Фитнес Диета @pokhudeniePP · 34,080 Telegram ranks this channel #28 of 76 here — alongside 75 others — read 3 September 2026
Умная кулинария | ПП-рецепты @pp_kulinar_recepti · 69,602 Telegram ranks this channel #31 of 82 here — alongside 81 others — read 20 August 2026
Кальций @calcium_media · 32,454 Telegram ranks this channel #32 of 74 here — alongside 73 others — read 5 September 2026
🍏 ПП САЛАТЫ И ЗАКУСКИ 🍏 @pp_salads · 34,911 Telegram ranks this channel #33 of 84 here — alongside 83 others — read 3 September 2026
KALNINA NATALIA @nkalnina · 109,336 Telegram ranks this channel #33 of 70 here — alongside 69 others — read 14 August 2026
Рецепты ПП: правильное питание, диетические рецепты, похудение, фитнес👍 @ppfood_recepty · 30,680 Telegram ranks this channel #34 of 72 here — alongside 71 others — read 6 September 2026
ХУДЕЕМ ВМЕСТЕ @vmestehydeem · 41,726 Telegram ranks this channel #42 of 74 here — alongside 73 others — read 29 August 2026
Vorobey_pp - ПП рецепты @vorobey_pp_recipes · 42,196 Telegram ranks this channel #42 of 92 here — alongside 91 others — read 29 August 2026
ХУДЕЕМ ВМЕСТЕ🔥ВКУСНЫЕ РЕЦЕПТЫ И ВСЕ О ПП @xudeem_vmeste5 · 38,032 Telegram ranks this channel #44 of 87 here — alongside 86 others — read 31 August 2026
Диета Дюкана @dukandiet_ru · 48,883 Telegram ranks this channel #44 of 77 here — alongside 76 others — read 26 August 2026
Перехитри диабет @perehitridiabet · 45,830 Telegram ranks this channel #45 of 80 here — alongside 79 others — read 27 August 2026
Elena_GoodFood @elena_goodfood · 33,305 Telegram ranks this channel #62 of 85 here — alongside 84 others — read 4 September 2026
This channel appears in 22 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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“ПП РЕЦЕПТЫ” (@pp_zozhh), 6,662 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/pp_zozhh.
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.