3 measurements spanning 3 days, net -6. 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 3,048–3,056 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 17:07
3,049
-6
11 Aug 2026, 09:16
3,055
no change
11 Aug 2026, 08:17
3,055
first reading
Engagement
16 posts held, back to 6 March 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
7.54%
avg views ÷ 3,049 subscribers
Avg views / post
230
1 post measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 August 2026
Posts held
16 (6 March 2026 – 8 August 2026)
Views total
230
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Aug 2026, 08:17 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
1h 37m
Average length
12m 09s
Measured directly from 8 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
541 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 46.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
250
46.2%
💘
97
17.9%
🍓
58
10.7%
💋
44
8.13%
🎉
34
6.28%
🙏
29
5.36%
🆒
23
4.25%
⚡
6
1.11%
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 16 of the 16 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 541reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 6 March 2026 to 8 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wforbody. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 6 March 2026 to 8 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
📖📖 за сколько времени вы можете выучить иностранный язык:
⚪️испанский A0 → B1 примерно за 8-12 месяцев быстрый прогресс благодаря понятной грамматике и знакомой лексике
⚪️французский A0 → B1 примерно за 10-14 месяцев произношение и восприятие речи могут потребовать больше времени
⚪️английский A0 → B1 примерно за 9-12 месяцев при регулярных занятиях и постоянном погружении 4 аспектов
⚪️корейский A0 → B1 примерно за 1…
20-минутная тренировка всего тела hiit для похудения | Без оборудования
⚪️это интервальная тренировка, которая поможет привести тело в тонус и сжечь лишнее. она динамичная и эффективная, но при этом вполне доступная для тех, кто хочет начать двигаться активнее!
⚪️важные моменты:
если чувствуешь, что пульс зашкаливает- не геройствуй, просто замедлись или сделай паузу. слушай свое тело: комфорт в движении важнее реко…
Тонкие и подтянутые руки в стиле пилатес | 7-минутный комплекс
🟤мечтаешь о красивом рельефе рук, но не хочешь «перекачаться»? эта короткая тренировка в стиле пилатес поможет проработать мышцы, сделать руки изящными и подтянутыми всего за 7 минут.
⚪️бережная проработка без лишнего стресса для суставов
⚪️используй легкие гантели или обычные бутылки с водой 0.5 л
⚪️идеально для тонуса мышц и красивой осанки
🔵body wor…
🥲🌊 Привычки которые улучшат самочувствие:
⚪️стакан воды с лимоном после пробуждения
⚪️10-15 минутная прогулка на солнце утром
⚪️регулярные пробежки для улучшения формы и осознанности
⚪️холодный душ для бодрости
⚪️белковый завтрак, чтобы не тянуться к сладкому через час
⚪️йога для снятия напряжения и стресса
⚪️никаких телефонов и сериалов за час до сна
⚪️больше фруктов и овощей в рационе
🤩ith love, beauty and brains…
Как убрать отеки | Лимфодренажная тренировка
🟤чувствуешь тяжесть в теле? эта короткая лимфодренажная тренировка поможет «разогнать» лимфу, снять отечность и почувствовать легкость уже после первого занятия.
⚪️без прыжков и оборудования
⚪️идеально для утра или после долгого рабочего дня
🔵body workouts | тренировки
#похудение
Стройные ноги за 9 минут | Легкая тренировка
⚪️хочешь привести ноги в тонус, не тратя много времени? Эта тренировка идеально подойдет для ежедневной рутины.минимум усилий это максимум пользы для твоих бедер!
⚪️почему стоит делать: это всего 9 минут: легко вписать в график. без оборудования: можно заниматься даже в пижаме. помогает снять отечность и подтянуть мышцы.
⚪️для лучшего результата сочетай тренировку с чис…
❤️ Идеальный пресс за 6 минут | Убираем бока и укрепляем кор
🍂мечтаешь о плоском животе и крепкой спине? Эта мощная тренировка поможет привести мышцы в тонус и создать «корсет» из собственных мышц.
🍂что делаем для результата: убираем «фартук» и бока скручивания и планки активируют глубокие мышцы, укрепляем поясницу здоровый кор обеспечивает осанку без боли, прорабатываем рельеф это работа на выносливость прямой и…
🧃🤩 Маленькие привычки для больших результатов
⚪️стакан теплой воды с лимоном: пей не натощак. это запускает пищеварение.
⚪️правило тарелки: заполняй половину тарелки овощами. это объемная еда, которая дает чувство сытости при минимуме калорий.
⚪️медленное пережевывание: сигнал о сытости доходит до мозга через 20 минут. ешь медленно, чтобы не съесть лишнего.
⚪️белковый завтрак: яйца, творог или омлет с утра избавят т…
🤩 Стройные ноги за 6 минут | Убираем «ушки» и внутреннюю часть бедра
🟤хочешь привести тело в тонус и уменьшить объемы? эта короткая, но интенсивная тренировка направлена на самые проблемные зоны.
⚪️что делаем для результата:
• убираем жировую прослойку. внутренняя часть бедра станет более подтянутой.
• работаем с «низом». прорабатываем нижнюю часть живота (петтанко).
• строим рельеф. укрепляем мышцы специальными уп…
🌟🌟 Топ продуктов для легкого похудения:
⚪️белая рыба или куриная грудка это лучший источник белка, который надолго дает чувство сытости и не откладывается «про запас».
⚪️грейпфрут это отличный помощник в ускорении метаболизма, съедай пару долек за 20 минут до еды.
⚪️зеленые овощи содержат минимум калорий, но много клетчатки: ешь их в любом количестве!
⚪️греческий йогурт это идеальная замена майонезу и жирным соусам,…
💢🌸 утренний пилатес для энергии
🤍 это просто и легкое занятие
помогает: пробудить все мышцы, запустить метаболизм и зарядиться бодростью на весь день
🤍 подходит для любого
уровня, если заниматься
регулярно: ты заметишь больше гибкости, легкость в теле и прилив сил каждым утром
🔵body workouts | тренировки
#пилатес@wforbody
🌸🍦Как не переедать:
🔴Жуйте еду медленно и осознанно. Это поможет лучше почувствовать вкус и насытиться.
🔴Держите под рукой здоровые закуски, такие как фрукты, овощи или орехи, чтобы удовлетворить голод без лишних калорий.
🔴Выпейте стакан воды перед приемом пищи. Это может помочь уменьшить чувство голода.
🔴Обеспечьте себе достаточное количество сна, так как недостаток сна может привести к увеличению аппетита.
🔵body …
❤32💘11🙏10🍓1🆒1
Showing the 12 most recent of 16 posts we hold for @wforbody. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 916,928 of 1,350,102entries 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.
Forward network
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
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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“для красивой фигуры 🤍🧘🏼♀️” (@wforbody), 3,049 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/wforbody.
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.
