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 the other topics.
Growth
24 measurements spanning 93 days, net +39. 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 7,482–7,563 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
8 Nov 2026, 12:51
7,537
-9
29 Oct 2026, 23:30
7,546
+1
27 Oct 2026, 01:49
7,545
-2
24 Oct 2026, 00:08
7,547
+3
20 Oct 2026, 21:20
7,544
-5
17 Oct 2026, 16:56
7,549
-2
14 Oct 2026, 19:50
7,551
-3
11 Oct 2026, 04:01
7,554
+9
5 Oct 2026, 01:41
7,545
+2
26 Sept 2026, 05:21
7,543
+29
15 Sept 2026, 16:21
7,514
-2
12 Sept 2026, 02:37
7,516
+4
7 Sept 2026, 09:19
7,512
+1
2 Sept 2026, 22:40
7,511
+3
30 Aug 2026, 13:17
7,508
-2
27 Aug 2026, 19:36
7,510
+5
24 Aug 2026, 09:52
7,505
-3
20 Aug 2026, 23:03
7,508
+3
18 Aug 2026, 02:52
7,505
+6
15 Aug 2026, 01:57
7,499
first reading
Engagement
22 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.51%
avg views ÷ 7,537 subscribers
Avg views / post
491
4 posts measured
Reaction rate
1.48%
reactions ÷ views · ER floor
Posts in window
4
of 22 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 8 November 2026
Posts held
22 (27 July 2026 – 8 November 2026)
Views total
1,962
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 01:57 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
≈5,970
Videos
≈1,200
Links
≈1,960
Lifetime counters from Telegram’s own channel header, read 9 November 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
5m 32s
Average length
30s
Measured directly from 11 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
144 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 41.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
60
41.7%
❤🔥
50
34.7%
🔥
24
16.7%
👍
9
6.25%
👏
1
0.694%
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 22 of the 22 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 144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 27 July 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🥗 Сбалансированный рацион на 3 дня ✅
КБЖУ одного дня:
1501 ккал | Б 120 | Ж 48 | У 140
👉 В карусели:
• готовое меню на 3 дня;
• подробные рецепты;
• список продуктов.
❗️ Количество ингредиентов уже рассчитано на 1, 2 и 3 дня. Готовите на 2 дня — используйте колонку «2 дня», на 3 дня — колонку «3 дня».
Автор @darsi_food_diary
🍽️ 9 ОБЕДОВ, КОТОРЫЕ ХОЧЕТСЯ ГОТОВИТЬ
Вкусно, разнообразно и из обычных продуктов. Сохраняйте подборку!
Вес на порцию: мясо, рыба и овощи - сырые, крупы и макароны - сухие, фасоль и тунец - без жидкости. КБЖУ примерные, масло учтено. Б/Ж/У - в граммах.
▪️1. Тефтели с булгуром
Фарш индейки 130 г, булгур 40 г, свёкла 120 г, фета 20 г, масло 4 г. Тефтели и свёклу запечь.
413 ккал | Б 39,5 / Ж 11,6 / У 37,7
▪️2. Минт…
меню для похудения
А у вас бывает так что летом постоянно
хочется мороженого, ягод , вкусного хлеба,а в голове сразу мысль: «Ну всё, похудение откладывается до осени»?
Но худеть можно без куриной грудки и гречки 24/7.
Сохраняйте себе в закладки вариант готового меню на день в летнем варианте
✅ мороженое
✅ много ягод
✅ вкусный завтрак с чиабаттой
✅ сытная паста на обед
✅ лёгкий и необычный ужин без чувства голода
Г…
Крабовые котлетки. Очень люблю этот рецепт
На выходе ~ 300 гр
КБЖУ на 100 гр: 139/8/5/14
Ингредиенты:
Крабовые палочки 200 гр
Яйцо С1 1 шт
Лук 50 гр
Кукурузный крахмал 15 гр
Соль щепотка, укроп сушеный
Масло подсолнечное 5 гр
Приготовление:
Крабовые палочки измельчаем. Лук трем на терке. Смешиваем все с яйцом, солью, укропом и крахмалом. Обжариваем с двух сторон, на среднем огне, по паре минут. Приятного аппетита
…
ВКУСНЫЙ РАЦИОН НА 2 ДНЯ на 1400 ккал!!!🔥
Друзья, поддержите пожалуйста❤️ Я старалась☺️
Спасибо за обратную связь!
РАЦИОН НА 2 ДНЯ на 1400 ккал!!!
🔻Вес продуктов в сухом/сыром виде🔻
1️⃣ЗАВТРАК (на 2 дня! Готовим и делим пополам)
🍌БАНАНУШКИ
✅Яйца - 2шт;
✅Рисовая мука - 80 г;
✅Бананы (очищенные) - 200 г;
✅Мягкий творог 5% - 200г;
✅Сах. зам. - по вкусу.
❗️Процесс приготовления на видео.
Жарим на медленном огне под кры…
⬇️РЕЦЕПТ⬇️ МАЛИНОВОЕ ОБЛАЧКО
Обалденно вкусно, много белка - то, что нужно, когда сбрасываешь вес или не хочешь набрать лишнего!!!!!
Вес готового блюда 490г.
КБЖУ на 100г: 48/7.2/0.3/3.9.
Ингредиенты:
200г малины (у меня была замороженная, но можно и другие ягоды)
100г воды
250г мягкого творога (0.1%, две баночки «Савушкин»)
3 мерные ложки сахарозаменителя (у меня «Фитпарад 7»
10г желатина («Рестория» из 5-ки).
Пр…
Банановые оладьи из 3 ингредиентов 🍌 постные
На 100 г: ~ 187 ккал
БЖУ: 6/4/35
На 6 шт.
70 г спелого банана
70 г овсяных хлопьев долгой варки
50 г молока (растительное, если постный вариант)
1. Все ингредиенты пробить погружным блендером. Предварительно можно хлопья измельчить в процессоре блендера в крошку, если ваш погружной блендер не справится с цельными хлопьями.
2. Дать тесту постоять минут 10.
3. Жарить на н…
Рацион на 1500 ккал сразу на 2 дня
Это базовый вариант меню,его можно подстроить под нужную вам калорийность. Так же не забывайте добавлять свежие и листовые овощи 🥬,соблюдать питьевой режим и хотя бы минимальную физическую активность
Этот рацион рассчитан сразу на 2 дня,граммовки тоже пишу на 2 дня!
🔥1500 ккал
🥩134 гр белка
🥑Жиры 50 гр
🍭135 гр углеводов
✅Завтрак: Сырники с ветчиной и сыром +милки вей
творог 5% …
❤5❤🔥3
Showing the 12 most recent of 22 posts we hold for @pp_polesnosti. 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 recorded as deleted after publishing
We recorded 1 post on @pp_polesnosti as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
25 August 2026
Most recent seen missing
25 August 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
0
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.
Handles this channel named that no longer answer
Dead references
4
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
4
vacant every time we have ever looked
@pp_polesnosti named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@juli_pplus named in 5 posts, 21 August 2026 – 6 November 2026
@stasya_b_ named in 2 posts, 11 August 2026 – 21 August 2026
@profitme_kate named in 2 posts, 8 August 2026 – 9 August 2026
@carry_remer_ named in 1 post, 29 August 2026 – 29 August 2026
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.
Канал Романа Гречина @rgrechin · 19,577 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 29 September 2026
«Фугу с маслом» или Средиземноморская диета @peskotg · 29,595 Telegram ranks this channel #6 of 69 here — alongside 68 others — read 8 September 2026
ПП РЕЦЕПТЫ 🥑 @pp_recepti_pp · 29,617 Telegram ranks this channel #9 of 80 here — alongside 79 others — read 8 September 2026
Рецепты ПП: правильное питание, диетические рецепты, похудение, фитнес👍 @ppfood_recepty · 30,265 Telegram ranks this channel #9 of 72 here — alongside 71 others — read 6 September 2026
ПП РАЦИОНЫ ПП РЕЦЕПТЫ @nyam_pp @nyam_pp · 49,886 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 25 August 2026
ПП ПОХУДЕНИЕ РЕЦЕПТЫ @pp_poxydenie · 28,548 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 8 September 2026
Диеты | Питание | Здоровье @dietapit_web · 36,182 Telegram ranks this channel #12 of 51 here — alongside 50 others — read 1 September 2026
ПП Еда | Диеты | Рационы @dietfood_web · 37,672 Telegram ranks this channel #12 of 59 here — alongside 58 others — read 31 August 2026
Кальций @calcium_media · 31,633 Telegram ranks this channel #13 of 74 here — alongside 73 others — read 5 September 2026
july_kona ЗОЖ @july_fit · 25,228 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 14 September 2026
ХУДЕЕМ ВМЕСТЕ @vmestehydeem · 41,257 Telegram ranks this channel #15 of 74 here — alongside 73 others — read 29 August 2026
pp.live @anastasiya_pplive · 22,893 Telegram ranks this channel #17 of 74 here — alongside 73 others — read 18 September 2026
🍤🍱 « ХУДЕЕМ БЕЗ ХИМИИ » 🍕🍗 @Hud_met · 23,145 Telegram ranks this channel #18 of 69 here — alongside 68 others — read 18 September 2026
ПП ЛЕГКО И ВКУСНО | ПП Меню | ПП рецепты | Правильное питание @pp_legko_i_vkusno · 35,034 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 2 September 2026
ПП рецепты🍏 @pprcpt · 33,494 Telegram ranks this channel #20 of 79 here — alongside 78 others — read 4 September 2026
Марина Осецкая PP_MARI_FOOD @pp_mari_food_official · 37,313 Telegram ranks this channel #20 of 84 here — alongside 83 others — read 31 August 2026
Рецепты ПП: правильное питание @ppfoodrecept · 44,136 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 28 August 2026
Blondinka_na_pp @blondinka_na_pp · 25,770 Telegram ranks this channel #25 of 82 here — alongside 81 others — read 13 September 2026
🍏 ПП САЛАТЫ И ЗАКУСКИ 🍏 @pp_salads · 34,977 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 3 September 2026
Julromanj. Рецепты, похудение @julromanj · 22,585 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 20 September 2026
Умная кулинария | ПП-рецепты @pp_kulinar_recepti · 68,931 Telegram ranks this channel #30 of 82 here — alongside 81 others — read 20 August 2026
Vorobey_pp - ПП рецепты @vorobey_pp_recipes · 41,770 Telegram ranks this channel #40 of 92 here — alongside 91 others — read 29 August 2026
pokhudeniepp @pokhudeniePP · 3 Telegram ranks this channel #43 of 76 here — alongside 75 others — read 3 September 2026
Elena_GoodFood @elena_goodfood · 32,963 Telegram ranks this channel #44 of 85 here — alongside 84 others — read 4 September 2026
This channel appears in 31 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“ПП полезности | ПОХУДЕНИЕ. РЕЦЕПТЫ С КБЖУ. РАЦИОНЫ” (@pp_polesnosti), 7,537 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/pp_polesnosti.
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.