ТАРЕЛКА, ОТ КОТОРОЙ ТАЕТ ЖИР: ПОШАГОВАЯ СБОРКА ИДЕАЛЬНОГО ПП-ПРИЁМА Стоп. Вы знаете, что нужно есть белок и овощи, но ваша тарелка всё равно не работает. Вы можете есть идеально полезные продукты, но если вы НЕПРАВИЛЬНО их комбинируете, они превращаются в жир. Секрет похудения не только в том, ЧТО вы едите, но и в том, КАК вы это собираете на тарелке. Это называется правило тарелки, и оно меняет всё. Это просто, ка…

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
28,979subscribers
-412 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 |
| Description | ✅ Менеджер по рекламе 👉🏻 @PR_Ludmilaa https://gosuslugi.ru/snet/6790d7d2a0ce00512844d9e9 📕 ПП ЗОЖ ЭНЦИКЛОПЕДИЯ ❤️ Секреты Похудения 🍑 Лучшие ПП Рационы 🍒 ПП Советы и Лайфхаки 🍓 Здоровье |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 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 |
|---|---|---|
| 18 Sept 2026, 08:37 | 28,979 | -19 |
| 16 Sept 2026, 01:58 | 28,998 | -29 |
| 14 Sept 2026, 07:00 | 29,027 | -21 |
| 12 Sept 2026, 15:58 | 29,048 | -19 |
| 10 Sept 2026, 13:39 | 29,067 | -40 |
| 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 | first reading |
Engagement
205 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 107 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.948%
- avg views ÷ 28,979 subscribers
- Avg views / post
- 275
- 95 posts measured
- Reaction rate
- 0.517%
- reactions ÷ views · ER floor
- Posts in window
- 95
- of 205 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 45 of 95 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 205 (4 August 2026 – 29 September 2026) |
| Views total | 26,087 |
| Reactions total | 67 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 13:38 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
- ≈3,820
- Videos
- ≈4,960
- Links
- ≈1,640
Lifetime counters from Telegram’s own channel header, read 29 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
- 4m 51s
- Average length
- 24s
Measured directly from 12 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
185 reactions across 102 posts, in 5 distinct kinds. The most used accounts for 76.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 141 | 76.2% | |
| 👍 | 21 | 11.4% | |
| 🔥 | 18 | 9.73% | |
| 😁 | 3 | 1.62% | |
| 👏 | 2 | 1.08% |
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 105 of the 205 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 185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 205 most recent posts we hold, published 4 August 2026 to 29 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
ХВАТИТ ЕСТЬ БЕЛЫЙ ХЛЕБ! ЭТИ 5 ЗАМЕН УБЕРУТ ЖИВОТ И ДАДУТ ЭНЕРГИЮ** Стоп. Вы до сих пор едите белый хлеб и думаете, что это нормально? А я вам скажу: белый хлеб — это сахар и клейковина, которые клеят кишечник, взрывают инсулин и откладываются на боках. Это враг вашей стройности. Но есть 5 замен, которые не только не дают толстеть, но и помогают худеть. Они вкуснее, полезнее и сытнее. Проверено. ПОЧЕМУ БЕЛЫЙ ХЛЕБ ВР…
😁1
Posted without readable text
Полноценный приём пищи из лаваша: 5 белковых начинок ⤴️ Лаваш спасает, когда хочется перекусить быстро и надолго. Но, неправильная начинка может сильно увеличить калорийность. Поэтому мы подготовили 5 белковых вариантов - с ними будет и сытно, и сбалансированно. Сохраняйте и делитесь с друзьями😉 ➡️ КБЖУ дано примерно на 1 лаваш; точный расчёт делайте под свой набор продуктов. 🔠➡️ Бесплатный марафон стройнойсти жми…
🔥1
🥪 КОНСТРУКТОР ПП БУТЕРБРОДОВ 🥪 Правильный бутерброд — это не «вредный перекус», а сбалансированная мини-тарелка. Просто собери его по формуле. 🧱 ФОРМУЛА ИДЕАЛЬНОГО ПП-БУТЕРБРОДА: 🍞 Основа (сложные углеводы) + 🥑 Намазка (жиры) + 🥩 Белок + 🥒 Овощ/зелень + Хруст (опционально). 🔥 3 ПП-БУТЕРБРОДА (КБЖУ НА 100 Г): 1. С ЛОСОСЕМ И АВОКАДО (~185 ккал) 🍞 Цельнозерновой хлеб + 1/4 авокадо + 50 г форели + огурец + укроп +…
❤1
Posted without readable text
🍽 ТЫ ЕШЬ «ПРАВИЛЬНО», НО НЕ ХУДЕЕШЬ? ПОТОМУ ЧТО ТВОЯ ТАРЕЛКА — ЭТО ХАОС, А НЕ СИСТЕМА. СОБИРАЕМ ПО НАУКЕ Признавайся: ты накладываешь еду «на глаз», а потом удивляешься, почему вес стоит, энергии нет, а голод возвращается через час? Ты думаешь, что «ПП-тарелка» — это просто грудка с гречкой и огурцом? Всё! Я даю тебе чёткую, работающую схему. Правило Здоровой Тарелки — это метод, который не требует весов и подсчёта …
❤1
✅ Почему вес перестал снижаться, хотя вы всё делаете правильно? Многие сталкиваются с ситуацией, когда первые килограммы уходят легко, а потом вес словно замирает. Возникает ощущение, что похудение остановилось. На самом деле это нормальный этап, который называется плато. 📌 Если вес стоит 1-2 недели - это ещё не застой. На цифры на весах влияют: ▪️задержка жидкости ▪️солёная пища накануне ▪️менструальный цикл ▪️ст…
ПОДБОРКА БЕЛКОВЫХ ЗАВТРАКОВ С КБЖУ 1. ИДЕАЛЬНАЯ ЯИЧНИЦА С ШПИНАТОМ 3 яйца + 2 белка, горсть шпината, соль, перец. Обжарь на сухой сковороде 3 минуты. КБЖУ: 220 ккал | Б-18г Ж-15г У-2г 2. ТВОРОГ С ЛОСОСЕМ (БЕЗ ГОТОВКИ) 150 г творога 5%, 50 г слабосоленого лосося, зелень. Смешай в тарелке. КБЖУ: 210 ккал | Б-22г Ж-12г У-3г 3. БЕЛКОВЫЙ ОМЛЕТ С ГРИБАМИ И СЫРОМ 3 яйца, 100 г шампиньонов, 30 г сыра. Грибы обжарь, залей …
❤1
🍳 ТЫ ЗАВТРАКАЕШЬ УГЛЕВОДАМИ И УДИВЛЯЕШЬСЯ, ЧТО К ВЕЧЕРУ СРЫВАЕШЬСЯ ⁉️ БЕЛОК УТРОМ — ТВОЙ ЩИТ ОТ ЖОРА! 😋 Это биохимия. Углеводный завтрак без белка вызывает скачок сахара, потом резкое падение, и мозг требует быстрой энергии. Ты попадаешь в замкнутый круг. 🧪 ПОЧЕМУ БЕЛОК УТРОМ РЕШАЕТ ВСЁ Исследования показывают: завтрак с 25-30 г белка снижает тягу к сладкому на 60% и уменьшает общую калорийность дня на 200-300 ккал…
❤2
НЕОБЫЧНЫЕ ЛЕГКИЕ ПП КЕКСИКИ 😍 Вкусные кексики без муки и теста для самых ленивых, обязательно попробуйте 😋 ➡️ Не забудь подписаться, будем вместе вкусно стройнеть, Ваша ПП Людочка 🥰 ✅ Вес 6 кексиков = 420 грамм 📝 КБЖУ на 100 г. = 121.4 / 11.1 / 5 / 7.3 ⭐️ Сложность (1 из 5) ⏰ Время приготовления: 35 минут ✅ ИНГРЕДИЕНТЫ 6 КЕКСИКОВ: 🧁 Лаваш армянский - 40 г. 🧁 Ветчина индейки (с хорошим составом) - 100 г. 🧁 Сыр ле…
ХВАТИТ ЕСТЬ ОГУРЦЫ С ПОМИДОРАМИ! ЭТИ 5 САЛАТОВ УБЕРУТ ЖИВОТ И НАПОЛНЯТ ЭНЕРГИЕЙ Стоп. Вы худеете, но живот не уходит, хотя вы качаете пресс и сидите на диете? Поздравляю, вы забыли про самый важный пункт — убирать вздутие и выводить лишнюю воду. Салаты для плоского живота — это не просто еда, это система. Они работают на три фронта: убирают отёки, чистят кишечник и ускоряют метаболизм. ПОЧЕМУ ЭТИ САЛАТЫ РАБОТАЮТ В…
❤1
Showing the 12 most recent of 205 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 · 29,841#1
@poxydenie_pp_zozh · 10,142#2
@dietrecepti · 83,409#3
@ppdieti · 7,676#4
@pp_ludo4ka · 11,949#5
@EdaGif · 38,182#6
@Hud_met · 23,165#7
@pp_zozhh · 6,657#8
@lubyamenyaemsebya · 3,253#9
@pprcpt · 33,701#10
@ppreceptiki · 113,109#11
@pp_polesnosti · 7,543#12
@prostoivkusnopp · 6,140#13
@vkysnoochen · 15,459#14
@vorobey_pp_recipes · 42,066#15
@propernutrition_recipes · 6,731#16
@veg4u · 6,805#17
@rezepti_dietologa · 10,483#18
@zero_calory · 5,488#19
@ppfoodrecept · 44,586#20
@horoshij_dom · 9,829#21
@vkusnyashkistroynyashki · 4,854#22
@xydeu_i_tochka · 2,120#23
@pp_kulinar_recepti · 69,583#24
@eatclean_menu · 84,954#25
@pp_legko_i_vkusno · 35,385#26
@nyam_pp · 50,093#27
@shopogolik_na_dietax · 7,665#28
@vkysmenu · 4,343#29
@avokado_xudeet · 95,292#30
@prosushkaaa · 4,238#31
@papaJoRecipes · 8,257#32
@ponlenka · 812#33
@pokhudeniePP · 34,050#34
@novaya_ya_free · 4,573#35
@pp_kyhnya · 3,941#36
@pp_zavtraki · 9,048#37
@fitnes_dietapp · 822#38
@madam_sportik · 2,149#39
@vkusno_polezno_pp · 69,838#40
@recepts_dd · 5,888#41
@caxara_not · 7,403#42
@vmestehydeem · 41,619#43
@budzdorovivse · 14,033#44
@dieta_nutritsiologia · 17,142#45
@vkucnay · 2,101#46
@good_food23 · 4,407#47
@pp_menju · 10,124#48
@pp_uzhiny · 9,124#49
@pp_salads · 34,911#50
@xudeem_vmeste5 · 38,033#51
@vkusnoepoxydenie · 15,218#52
@p_p_rezept · 4,993#53
@natchaloo · 95#54
@pp_prosto_recepti · 11,760#55
@pp_deserty_recepty · 5,684#56
@julromanj · 22,781#57
@goodfood_recept · 6,279#58
@pp_polezno · 50,537#59
@goodfood_shpargalki · 6,345#60
@pp_cooking · 17,128#61
@kriozerova · 27,355#62
@sporteIena6 · 9,828#63
@dietfood_web · 37,721#64
@iamhudayaya · 12,220#65
@kiwihealthy · 22,744#66
@vcusnoe_pp · 3,545#67
@dieta_retsept · 9,481#68
@elena_goodfood · 33,223#69
@dieta5blog · 23,715#70
@krasot_a · 13,325#71
@molodayproduct · 149,552#72
@live_pictures · 15,212#73
@daily_iinspiration · 27,812#74
@vostokeda · 9,486#75
@GifLifehac · 20,271#76
@master_yoga · 2#77
@d_za40 · 3,732#78
@sport_v_max · 6,085#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 · 29,841
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 8 September 2026
@Hud_met · 23,165
Telegram ranks this channel #4 of 69 here — alongside 68 others — read 18 September 2026
@dietrecepti · 83,409
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 18 August 2026
@EdaGif · 38,182
Telegram ranks this channel #7 of 75 here — alongside 74 others — read 31 August 2026
@pp_polezno · 50,537
Telegram ranks this channel #8 of 61 here — alongside 60 others — read 25 August 2026
@ppfoodrecept · 44,586
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 28 August 2026
@pprcpt · 33,701
Telegram ranks this channel #10 of 79 here — alongside 78 others — read 4 September 2026
@dietfood_web · 37,721
Telegram ranks this channel #10 of 59 here — alongside 58 others — read 31 August 2026
@ppreceptiki · 113,109
Telegram ranks this channel #13 of 63 here — alongside 62 others — read 14 August 2026
@pp_kulinar_recepti · 69,583
Telegram ranks this channel #14 of 82 here — alongside 81 others — read 20 August 2026
@mir_receptow · 41,549
Telegram ranks this channel #16 of 61 here — alongside 60 others — read 29 August 2026
@vorobey_pp_recipes · 42,066
Telegram ranks this channel #16 of 92 here — alongside 91 others — read 29 August 2026
@pp_legko_i_vkusno · 35,385
Telegram ranks this channel #18 of 89 here — alongside 88 others — read 2 September 2026
@xudeem_vmeste5 · 38,033
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 31 August 2026
@vmestehydeem · 41,619
Telegram ranks this channel #18 of 74 here — alongside 73 others — read 29 August 2026
@nyam_pp · 50,093
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 25 August 2026
@pokhudeniePP · 34,050
Telegram ranks this channel #23 of 76 here — alongside 75 others — read 3 September 2026
@julromanj · 22,781
Telegram ranks this channel #27 of 87 here — alongside 86 others — read 20 September 2026
@elena_goodfood · 33,223
Telegram ranks this channel #27 of 85 here — alongside 84 others — read 4 September 2026
@vkusno_polezno_pp · 69,838
Telegram ranks this channel #28 of 91 here — alongside 90 others — read 20 August 2026
@pp_salads · 34,911
Telegram ranks this channel #29 of 84 here — alongside 83 others — read 3 September 2026
@iamcook · 83,527
Telegram ranks this channel #29 of 81 here — alongside 80 others — read 18 August 2026
@liza_tasty_bllog · 52,022
Telegram ranks this channel #33 of 88 here — alongside 87 others — read 24 August 2026
@avokado_xudeet · 95,292
Telegram ranks this channel #34 of 86 here — alongside 85 others — read 16 August 2026
This channel appears in 33 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“ПП ПОХУДЕНИЕ РЕЦЕПТЫ” (@pp_poxydenie), 28,979 subscribers as measured 18 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.