ОСНОВА — ИДЕАЛЬНЫЙ ОВСЯНОБЛИН 🥞 30 г овсяных хлопьев, 2 яйца, 50 мл молока. Взбейте блендером до однородности. Выпекайте на сухой сковороде с двух сторон до золотистости. Получается нежное и упругое "тесто". А теперь — НАЧИНКИ! ПЕРВАЯ — ТВОРОЖНАЯ С КЛУБНИКОЙ 🍓 Смешайте 60 г творога 5% с 30 г нарезанной клубники и подсластителем. Намажьте на овсяноблин, сверните рулетом. КБЖУ на 100 г: 134 ккал, Б-10г, Ж-4г, У-12г. …

Channel
ПП ПОХУДЕНИЕ РЕЦЕПТЫ
@pp_poxydenie
On this record: Topic · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
29,107subscribers
-284 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001364699196 |
|---|---|
| Type | Channel |
| Username | @pp_poxydenie |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/pp_poxydenie |
Topic
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 10 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 09:40 | 29,107 | -28 |
| 4 Sept 2026, 15:57 | 29,135 | -25 |
| 2 Sept 2026, 23:55 | 29,160 | -16 |
| 1 Sept 2026, 18:15 | 29,176 | -9 |
| 31 Aug 2026, 16:35 | 29,185 | -14 |
| 30 Aug 2026, 14:46 | 29,199 | -7 |
| 29 Aug 2026, 12:18 | 29,206 | -14 |
| 28 Aug 2026, 13:13 | 29,220 | -12 |
| 27 Aug 2026, 14:13 | 29,232 | -8 |
| 26 Aug 2026, 16:37 | 29,240 | -3 |
| 25 Aug 2026, 17:01 | 29,243 | -12 |
| 24 Aug 2026, 19:47 | 29,255 | -10 |
| 23 Aug 2026, 05:55 | 29,265 | -11 |
| 21 Aug 2026, 14:17 | 29,276 | -15 |
| 20 Aug 2026, 16:21 | 29,291 | -9 |
| 19 Aug 2026, 14:57 | 29,300 | -5 |
| 18 Aug 2026, 14:04 | 29,305 | -4 |
| 17 Aug 2026, 10:48 | 29,309 | -14 |
| 15 Aug 2026, 19:53 | 29,323 | -4 |
| 14 Aug 2026, 06:36 | 29,327 | first reading |
Engagement
138 posts held, back to 4 August 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 84 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.12%
- avg views ÷ 29,107 subscribers
- Avg views / post
- 325
- 109 posts measured
- Reaction rate
- 0.619%
- reactions ÷ views · ER floor
- Posts in window
- 109
- of 138 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 55 of 109 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 138 (4 August 2026 – 4 September 2026) |
| Views total | 35,386 |
| Reactions total | 114 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Sept 2026, 12:05 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
- 3m 47s
- Average length
- 25s
Measured directly from 9 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
141 reactions across 69 posts, in 5 distinct kinds. The most used accounts for 80.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 114 | 80.9% | |
| 👍 | 14 | 9.93% | |
| 🔥 | 9 | 6.38% | |
| 👏 | 2 | 1.42% | |
| 😁 | 2 | 1.42% |
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 71 of the 138 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 141 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 138 most recent posts we hold, published 4 August 2026 to 4 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.
Recent posts
ПЕРВЫЙ — КЛАССИЧЕСКИЙ С ОРЕХАМИ 🥜 Смешайте 100 г йогурта, 50 г творога 5% и подсластитель. Измельчите 60 г хлебцев, смешайте с 30 г орехов. Выложите слоями, залейте йогуртовой смесью, сверху полейте 20 г растопленного тёмного шоколада. Уберите в холодильник на час. КБЖУ на 100 г: 148 ккал, Б-8г, Ж-7г, У-14г. Хрустит, как Киндер, и тает во рту. ВТОРОЙ — КОКОСОВЫЙ 🥥 Добавьте в йогуртовую смесь 30 г кокосовой стружки.…
🔥1
ПЕРВЫЙ — КЛАССИЧЕСКИЙ С ОВСЯНКОЙ 🥕 Смешайте 200 г натёртой моркови, 2 яйца, 100 г овсяной муки, 50 мл молока, подсластитель, разрыхлитель и корицу. Залейте в форму, запекайте 30 минут. КБЖУ на 100 г: 128 ккал, Б-5г, Ж-4г, У-18г. Влажный, нежный, с карамельным вкусом. ВТОРОЙ — С ГРЕЦКИМИ ОРЕХАМИ 🌰 Добавьте в тесто 30 г грецких орехов. Запекайте 30 минут. КБЖУ на 100 г: 148 ккал, Б-5г, Ж-7г, У-17г. Хрустящий и полезн…
Вы можете съесть ДЕСЕРТ, похожий на Сникерс, и при этом не выйти за рамки. Это не магия, а правильный баланс. Представьте: мягкая основа, тягучая карамель и хруст орехов. Это сочетание способно закрыть самую сильную тягу к десертам. Весь секрет не в запретах, а в правильной замене ингредиентов. ### Классический рецепт * Основа: Овсяные хлопья (50 г), финики (100 г) и арахис (20 г) взбить в блендере до липкой массы…
Posted without readable text
❤1
ПЕРВЫЙ — ТВОРОЖНОЕ СУФЛЕ С ЯГОДАМИ 🍓 Смешайте 200 г творога 5%, 2 яйца, 50 г ягод и подсластитель. Взбейте блендером до крема, залейте в формы, запекайте 20 минут. КБЖУ на 100 г: 96 ккал, Б-10г, Ж-4г, У-4г. Нежное, как облако, и тает во рту. ВТОРОЙ — БАНАНОВОЕ МОРОЖЕНОЕ 🍌 Заморозьте 2 спелых банана, измельчите в блендере до текстуры мороженого. Добавьте какао или ягоды по желанию. КБЖУ на 100 г: 88 ккал, Б-1г, Ж-0г…
Posted without readable text
ПЕРВЫЙ — ШОКОЛАДНЫЙ МАГКЕЙК 🍫 Смешайте 30 г овсяной муки, 10 г какао, 1 яйцо, 30 мл молока, подсластитель и разрыхлитель. Залейте в кружку, готовьте 2 минуты при 800 Вт. КБЖУ на 100 г: 158 ккал, Б-7г, Ж-5г, У-20г. Влажный, шоколадный, как брауни. ВТОРОЙ — БАНАНОВЫЙ МАГКЕЙК 🍌 Разомните 1 банан, добавьте 1 яйцо, 30 г овсяной муки и корицу. Готовьте 2 минуты. КБЖУ на 100 г: 142 ккал, Б-5г, Ж-4г, У-22г. Сладкий, с прир…
❤2
ПЕРВЫЕ — С КАПУСТОЙ И ЯЙЦОМ 🥬 Нашинкуйте 200 г капусты, обжарьте на сухой сковороде до мягкости. Смешайте с 2 варёными яйцами и зеленью. Заверните в лаваш, обжарьте до хруста. КБЖУ на 100 г: 108 ккал, Б-6г, Ж-4г, У-12г. Сочные и сытные. ВТОРЫЕ — С КАПУСТОЙ И ГРИБАМИ 🍄 Обжарьте 150 г капусты и 50 г грибов с луком. Заверните в лаваш, обжарьте. КБЖУ на 100 г: 96 ккал, Б-5г, Ж-3г, У-12г. Ароматные и полезные. ТРЕТЬИ —…
❤1
ПОДБОРКА ВКУСНЕЙШИХ ПП ЧИЗКЕЙКОВ 💯 🍰 3 ПП-ЧИЗКЕЙКА С КБЖУ НА 100 ГРАММ 👇🏻 ✅ 1. КЛАССИЧЕСКИЙ ТВОРОЖНЫЙ «НЬЮ-ЙОРК» (~145 ккал) 🧀 300 г творога 5% + 200 г греческого йогурта + 2 яйца + стевия + ваниль. Всё взбить блендером до гладкости, вылить в форму, запечь 40 минут при 150°C. Остудить, дать постоять в холодильнике 2 часа. 📊 Б: 13 г | Ж: 6 г | У: 8 г Кремовая текстура, как в кафе. ✅ 2. ШОКОЛАДНЫЙ «БРАУНИ-ЧИЗКЕЙК» (…
🥑 ТЫ БОИШЬСЯ АВОКАДО ИЗ-ЗА ЖИРОВ ⁉️ А ОНО В ЭТО ВРЕМЯ СЖИГАЕТ ТВОЙ ЖИР! 🔥 Подпишись 👉🏻 @pp_ludo4ka строейнеем вместе вкусно и быстро 💚 🧪 ПОЧЕМУ ЖИРЫ АВОКАДО НЕ ИДУТ В БОКА (НАУКА) Внутри авокадо — олеиновая кислота, как в оливковом масле. Она не откладывается про запас, а даёт организму команду сжигать собственный жир. Плюс: — Калий выводит лишнюю воду и борется с отёками. — Мононенасыщенные жиры включают гормон сы…
🥤 АЛЛО, КОМУ БАНОЧКУ КОЛЫ ⁉️ ТЫ ПЬЁШЬ КОЛУ, ДУМАЯ, ЧТО ЭТО ПРОСТО «ГАЗИРОВКА»⁉️ Это не напиток — это химическая бомба, замаскированная под удовольствие 🙈 Подпишись @mari_pp_fit чтобы знать больше и стройнеть вкусно 🫶 🧪 СОСТАВ КОЛЫ ПОД МИКРОСКОПОМ: 🔠 1. САХАР (ИЛИ ХУЖЕ — КУКУРУЗНЫЙ СИРОП). В одной банке 330 мл — 35 г сахара. Это 7 чайных ложек! Всемирная организация здравоохранения рекомендует не более 25 г на вес…
Showing the 12 most recent of 138 posts we hold for @pp_poxydenie. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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.
@pp_recepti_pp · 29,896#1
@poxydenie_pp_zozh · 10,167#2
@dietrecepti · 83,511#3
@ppdieti · 7,686#4
@pp_ludo4ka · 11,978#5
@EdaGif · 38,265#6
@Hud_met · 23,219#7
@pp_zozhh · 6,665#8
@lubyamenyaemsebya · 3,256#9
@pprcpt · 33,799#10
@ppreceptiki · 113,529#11
@pp_polesnosti · 7,512#12
@prostoivkusnopp · 6,155#13
@vkysnoochen · 15,528#14
@vorobey_pp_recipes · 42,241#15
@propernutrition_recipes · 6,741#16
@veg4u · 6,866#17
@rezepti_dietologa · 10,520#18
@zero_calory · 5,510#19
@ppfoodrecept · 44,751#20
@horoshij_dom · 9,864#21
@vkusnyashkistroynyashki · 4,851#22
@xydeu_i_tochka · 2,117#23
@pp_kulinar_recepti · 69,723#24
@eatclean_menu · 85,189#25
@pp_legko_i_vkusno · 35,452#26
@nyam_pp · 50,239#27
@shopogolik_na_dietax · 7,712#28
@vkysmenu · 4,363#29
@avokado_xudeet · 95,814#30
@prosushkaaa · 4,262#31
@papaJoRecipes · 8,283#32
@ponlenka · 814#33
@pokhudeniePP · 34,158#34
@novaya_ya_free · 4,597#35
@pp_kyhnya · 3,939#36
@pp_zavtraki · 9,143#37
@fitnes_dietapp · 822#38
@madam_sportik · 2,166#39
@vkusno_polezno_pp · 70,014#40
@recepts_dd · 5,908#41
@caxara_not · 6,738#42
@vmestehydeem · 41,760#43
@budzdorovivse · 14,072#44
@dieta_nutritsiologia · 17,219#45
@vkucnay · 2,106#46
@good_food23 · 4,430#47
@pp_menju · 10,160#48
@pp_uzhiny · 9,209#49
@pp_salads · 34,910#50
@xudeem_vmeste5 · 37,879#51
@vkusnoepoxydenie · 15,287#52
@p_p_rezept · 5,020#53
@natchaloo · 94#54
@pp_prosto_recepti · 11,802#55
@pp_deserty_recepty · 5,752#56
@julromanj · 22,825#57
@goodfood_recept · 6,290#58
@pp_polezno · 50,812#59
@goodfood_shpargalki · 6,355#60
@pp_cooking · 17,168#61
@kriozerova · 27,274#62
@sporteIena6 · 9,880#63
@dietfood_web · 37,757#64
@iamhudayaya · 12,174#65
@kiwihealthy · 22,827#66
@vcusnoe_pp · 3,572#67
@dieta_retsept · 9,489#68
@elena_goodfood · 33,309#69
@dieta5blog · 23,790#70
@krasot_a · 13,398#71
@molodayproduct · 150,076#72
@live_pictures · 15,327#73
@daily_iinspiration · 27,853#74
@vostokeda · 9,526#75
@GifLifehac · 20,412#76
@master_yoga · 56,217#77
@d_za40 · 3,755#78
@sport_v_max · 6,120#79
Read from Telegram’s recommendation API, most recently 8 September 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.
@pp_recepti_pp · 29,896
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 8 September 2026
@dietrecepti · 83,511
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 18 August 2026
@EdaGif · 38,265
Telegram ranks this channel #7 of 75 here — alongside 74 others — read 31 August 2026
@pp_polezno · 50,812
Telegram ranks this channel #8 of 61 here — alongside 60 others — read 25 August 2026
@ppfoodrecept · 44,751
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 28 August 2026
@pprcpt · 33,799
Telegram ranks this channel #10 of 79 here — alongside 78 others — read 4 September 2026
@dietfood_web · 37,757
Telegram ranks this channel #10 of 59 here — alongside 58 others — read 31 August 2026
@ppreceptiki · 113,529
Telegram ranks this channel #13 of 63 here — alongside 62 others — read 14 August 2026
@pp_kulinar_recepti · 69,723
Telegram ranks this channel #14 of 82 here — alongside 81 others — read 20 August 2026
@mir_receptow · 41,318
Telegram ranks this channel #16 of 61 here — alongside 60 others — read 29 August 2026
@vorobey_pp_recipes · 42,241
Telegram ranks this channel #16 of 92 here — alongside 91 others — read 29 August 2026
@pp_legko_i_vkusno · 35,452
Telegram ranks this channel #18 of 89 here — alongside 88 others — read 2 September 2026
@xudeem_vmeste5 · 37,879
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 31 August 2026
@vmestehydeem · 41,760
Telegram ranks this channel #18 of 74 here — alongside 73 others — read 29 August 2026
@nyam_pp · 50,239
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 25 August 2026
@pokhudeniePP · 34,158
Telegram ranks this channel #23 of 76 here — alongside 75 others — read 3 September 2026
@elena_goodfood · 33,309
Telegram ranks this channel #27 of 85 here — alongside 84 others — read 4 September 2026
@vkusno_polezno_pp · 70,014
Telegram ranks this channel #28 of 91 here — alongside 90 others — read 20 August 2026
@pp_salads · 34,910
Telegram ranks this channel #29 of 84 here — alongside 83 others — read 3 September 2026
@iamcook · 83,876
Telegram ranks this channel #29 of 81 here — alongside 80 others — read 18 August 2026
@liza_tasty_bllog · 52,216
Telegram ranks this channel #33 of 88 here — alongside 87 others — read 24 August 2026
@avokado_xudeet · 95,814
Telegram ranks this channel #34 of 86 here — alongside 85 others — read 16 August 2026
@eatclean_menu · 85,189
Telegram ranks this channel #39 of 88 here — alongside 87 others — read 18 August 2026
@dukan_recepts · 29,311
Telegram ranks this channel #40 of 92 here — alongside 91 others — read 8 September 2026
This channel appears in 27 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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“ПП ПОХУДЕНИЕ РЕЦЕПТЫ” (@pp_poxydenie), 29,107 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/pp_poxydenie.
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.