Быть здоровым — Это Норма: https://thenorm.ru
TheNorm — это экосистема формы тела. Она создана для тех, кто хочет не просто похудеть, а управлять снижением веса и удерживать результат 💚
Created
Between 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements spanning 4 days. 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 11–13 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 05:30
12
no change
8 Aug 2026, 10:01
12
first reading
Engagement
14 posts held, back to 29 April 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
100.0%
avg views ÷ 12 subscribers
Avg views / post
12.0
1 post measured
Reaction rate
16.7%
reactions ÷ views · ER floor
Posts in window
1
of 14 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 3 August 2026
Posts held
14 (29 April 2026 – 3 August 2026)
Views total
12
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:30 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
18
Videos
7
Links
18
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
7m 02s
Average length
2m 21s
Measured directly from 3 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
86 reactions across 11 posts, in 14 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
26
30.2%
❤
21
24.4%
🔥
15
17.4%
👌
7
8.14%
👏
4
4.65%
🤩
3
3.49%
❤🔥
2
2.33%
💯
2
2.33%
👀
1
1.16%
💘
1
1.16%
😍
1
1.16%
😐
1
1.16%
😢
1
1.16%
🤪
1
1.16%
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 11 of the 14 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 86reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 29 April 2026 to 3 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.
Как производится продукция TheNorm?👀
Показываем и рассказываем, как каждое блюдо проходит путь от разработки рецепта до готового продукта. Всё продумано так, чтобы питание было вкусным, сбалансированным и легко вписывалось в вашу жизнь.
В этом видео вы увидите, как устроено производство, как проходит контроль качества и почему мы уделяем столько внимания каждой детали💚
Истории, ради которых мы создавали TheNorm 💚
Когда Алёна впервые узнала о TheNorm, она была уверена, что готовое питание быстро надоест.
Но решила попробовать.
Уже через несколько дней мы общались и она рассказала, что перестала думать о том, что приготовить. Просто берёт готовые блюда с собой на работу, а вечером не тратит время на кухне.
Больше всего её удивило, что еда оказалась действительно вкусной. Это разр…
Сегодня заглянем внутрь набора Дейли Мен 👀
Показываем, из чего состоит мужской рацион на 2 недели:
🔵 Сбалансированное меню без подсчета калорий
🔵 Вкусные и сытные блюда
🔵 Полный запас энергии на день
🔵 Разгрузочный день 1 раз в неделю для ускорения результата
Просто ешь, наслаждайся
вкусом удерживай или снижай вес.
Быть в форме — это норма 💚
Сделайте утро проще — начните его с готового завтрака ☀️
Утром не всегда есть время готовить, особенно когда день расписан по минутам.
Поэтому в рационах TheNorm завтрак уже продуман за вас. Не нужно считать калории, подбирать продукты или решать, что приготовить сегодня. Достаточно достать блюдо из морозильника и разогреть. Пока вы собираетесь на работу или занимаетесь своими делами — горячий завтрак уже готов 💚
…
Почему даже жесткие ограничения не приводят к телу мечты? 🙇🏼♀️
Правда в том, что диеты требуют тотального контроля, а результат дают лишь временный. В новой статье разбираем, почему одного ограничения в еде недостаточно и какой подход действительно работает.
TheNorm это не только питание 🥗
В основе системы действительно находятся готовые рационы. Они помогают выстроить режим, меньше думать о еде и спокойнее держать структуру дня.
Но далее подключаются остальные элементы ⤵️
• Нутрицевтики: как поддержка организма и более комфортного режима.
• Специалисты: чтобы не оставаться один на один с вопросами питания и образа жизни.
• Постепенно система дополняется и другими …
🗣️Уверены, вы слышали фразу: «Похудение начинается на кухне».
И частично мы с этим согласны. Без питания сложно прийти к стабильному результату.
Но проблема обычно не в самой еде. А в том, что питание постоянно требует внимания: что съесть, сколько, когда, как не выйти за калорийность.
Именно поэтому рационы TheNorm — основа нашей системы 💚
Когда питание продуманно, становится легче держать режим
и не возвращатьс…
🔔У нас появился аккаунт в Pinterest
Теперь вы можете находить наши идеи и советы в удобном визуальном формате — сохранять, сортировать по темам и возвращаться к ним в любое время.
Как витамины влияют на самочувствие и вес?💊
Часто есть ощущение, что достаточно добавить витамины — и станет легче.
Но на практике всё работает немного иначе.
Если питание хаотичное и нет режима,
витамины сами по себе не дают понятного эффекта.
Они работают как поддержка,
когда уже есть структура: питание, режим, понятный ритм дня.
Поэтому важна не отдельная баночка, а вся система, в которой она используется.
*Б…
👍4❤2🔥2💯1
Showing the 12 most recent of 14 posts we hold for @thenorm_ru. 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.
Citation-graph rank
Citation-graph rank — 810,094 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“TheNorm | Система снижения и удержания веса” (@thenorm_ru), 12 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/thenorm_ru.
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.