. 🔹 تعداد پیامهاتون خیلی بالاست ،بچه ها هرکسی میخواد vsl ای بشه و بادیآنالیزور داشته باشه، 📈فقط کلمه VSL رو فقط بفرسته برام تا راهنماییش کنم 👇 @poshtibani_morabibartar .
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Channel
@fit_aghayi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Cite this entry
70,293subscribers
+4,636 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003501283850 |
|---|---|
| Type | Channel |
| Username | @fit_aghayi |
| Description | 🟡زهرا آقایی هستم/مربی برتر 🔵با ده سال سابقه مربیگری 🟡بابیش از یک میلیون رضایت شاکرد 🔵دوره لاغری vsl با ٨-١٠ کیلو لاغری دریک دوره 📍ارتباط با پشتیبانی: https://t.me/poshtibani_morabibartar |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/fit_aghayi |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 13:18 | 70,293 | -761 |
| 26 Sept 2026, 06:37 | 71,054 | +582 |
| 19 Sept 2026, 06:59 | 70,472 | -130 |
| 16 Sept 2026, 17:18 | 70,602 | -449 |
| 14 Sept 2026, 17:39 | 71,051 | -165 |
| 13 Sept 2026, 07:18 | 71,216 | +457 |
| 11 Sept 2026, 12:22 | 70,759 | +561 |
| 8 Sept 2026, 17:56 | 70,198 | +897 |
| 5 Sept 2026, 08:57 | 69,301 | -90 |
| 3 Sept 2026, 11:41 | 69,391 | -93 |
| 2 Sept 2026, 03:04 | 69,484 | +40 |
| 1 Sept 2026, 04:45 | 69,444 | +329 |
| 31 Aug 2026, 07:53 | 69,115 | +62 |
| 30 Aug 2026, 09:55 | 69,053 | +64 |
| 29 Aug 2026, 09:19 | 68,989 | +166 |
| 28 Aug 2026, 08:56 | 68,823 | +45 |
| 27 Aug 2026, 10:26 | 68,778 | +362 |
| 26 Aug 2026, 11:52 | 68,416 | +10 |
| 25 Aug 2026, 09:33 | 68,406 | +222 |
| 24 Aug 2026, 09:17 | 68,184 | first reading |
779 posts held, back to 5 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 125 pages of Telegram’s post history, 20 posts per page.
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 138 of 394 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 October 2026 |
|---|---|
| Posts held | 779 (5 August 2026 – 5 October 2026) |
| Views total | 434,568 |
| Reactions total | 323 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 03:37 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.
Lifetime counters from Telegram’s own channel header, read 6 October 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.
Measured directly from 44 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.
1,049 reactions across 305 posts, in 3 distinct kinds. The most used accounts for 89.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 943 | 89.9% | |
| 👍 | 78 | 7.44% | |
| 🥰 | 28 | 2.67% |
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 324 of the 779 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 1,049 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 779 most recent posts we hold, published 5 August 2026 to 5 October 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.
. 🔹 تعداد پیامهاتون خیلی بالاست ،بچه ها هرکسی میخواد vsl ای بشه و بادیآنالیزور داشته باشه، 📈فقط کلمه VSL رو فقط بفرسته برام تا راهنماییش کنم 👇 @poshtibani_morabibartar .
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. 📊اصلافرقی نمیکنه:👇 🔹 5 کیلو اضافه وزن داری یا 30 کیلو 🔺 شکم پهلو داری یا کلا چاقی 🔹 خانم هستی یا آقا 💠برای فیت شدنت باید مثل اینها👆 vsl ای باشی و "بادیآنالیزور" داشته بشی... ▫️امروز میخوام فقط به 0️⃣0️⃣1️⃣ نفر "مشاوره رایگان" بدم و فقط 10 نفر رو میتونم برای vsl قبول کنم، نه بیشتر‼️ ✉️اگه میخوای جز این 10 نفر باشی... سریع کلمه (VSL) رو برام بفرست👇 @poshtibani_morabibartar .
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. 📈 اگه مثل شاگردهای من سریع vsl ای بشی و بادیآنالیز بشید و دست رو دست نذارید... 📊 اینجوری 👆 بعد از یک هفته با ذوق ، عکس تغییراتت رو برام میفرستی😍 ⭕️ دقت کن 👆 بعد از "یک هفته" شکمش کامل رفته تو و فرم بدنش اصلاح شده ⭕️ میخوای تو هم vsl ای بشی و بادیآنالیزور داشته باشی و توی یک هفته اینجوری👆از اینکه فیت شدی ، ذوق کنی⁉️ 💬 پس سریع کلمه VSL رو بفرست برام تا راهنماییت کنم👇 @poshtibani_morabibartar .
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. 🚨بذار یه واقعیت رو بهت بگم:👇 ❌تو متابولیسمت فلج شده❌ 🔹اگه تا الان بادیآنالیزور نداشتی 🔺و بادی آنالیز نشدی 🔹و طبق میزان درصد چربی و درصد عضلات بدنت ورزش نکردی ⛔️تو متابولیسمت وقتی فلج بشه، میشی یه چیزی شبیه این:👇 🔹 شکم بزرگ 🔹 بازوهای چاق 🔹 اندام بدفرم 🔹 لباسی که شکمت ازش بیرون میزنه 🔻که هم اعتماد به نفست رو پایین میاره و روزبهروز هم داغون ترت میکنه ولی…👇 .
. 📊 نرگس هم متابولیسمش بخاطر "انباشتگی سموم" ، کلا فلج شده بود ❌اصلا اعتماد به نفس نداشت❌ ✅تا اینکه vsl ای شد ✅با سیستم بادیآنالیزور vsl 📈 توی یک هفته ⭐️ تونسته چهار کیلو وزن کم کنه ❌بااینکه خیلی هم بهش پایبند نبوده❌ 📉 اگه تو هم این تغییراتو میخوای ، 👍 فقط کافیه به یه خانم vsl ای تبدیل بشی و بادیآنالیز بشی، چجوری ⁉️👇 ❌اون هم بدون گرسنگی ❌بدون سختی 📌وقتی میگم بادیآنالیزور داره به راحتی برای خانمهای vsl ای مع…
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. 👈 فقط بعد از 8️⃣ روز👆🍒 ‼️ همون لباسش براش گشاد شده بود 🔺 قسمت شکم لباس، براش آزاد شده بود ✅ با سیستم بادیآنالیزور vsl و رمزنامه لاغری، تونسته بود بدنش رو کامل سم زدایی و پاکسازی کنه🔽 🔼 و متابولیسمش رو 0️⃣1️⃣ برابر کنه 3️⃣ کیلو توی 8 روز وزن کم کنه و شکم پهلوهاشو 5️⃣ سانت کوچکتر کنه💖 🔼 هم اعتماد به نفسش بالاتر رفته بود و هم چند سال جوون تر و زیباتر به نظر میومد .
. ☄️استپ وزنیش شکسته شد و توی 8 روز 3️⃣ کیلو کم کرد 🍒 🌸 خودشم شوکه شده بود و فهمید که ⛔برای پایان دادن به همه این دردها فقط و فقط لازم بود ✅سریع vsl ای بشه و بادیآنالیز بشه ✅تا خیلی راحت با افتخار لباس جذب تن کنه 🛜 تا بعد از 8 روز بشه این👇 .
. 📈 تا اینکه در اوج ناامیدی و افسردگی اومد به ما پیام داد🔥 🌸 و با راهنمایی من و تیمم یه خانومvsl ای شد🌸 🔥و بدنشو آنالیز کردیم و با رمزنامه لاغری، بدنش رو پاکسازی و سم زدایی کردیم 🔥 🆗 و متابولیسمشُ رو غلتک انداختیم و ده برابر بالا بردیمش و توی 8️⃣ روز ... 👇 .
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. ⛔️ بخاطر انباشتگی مواد زائد و سموم توی بدنش, دیگه با هیچ روشی نمیتونست لاغر بشه و متابولیسمش کلا فلج شده بود و افسرده و ناامید بود ‼️ 🚫و توی مهمونی ها لباس مورد علاقشو نمیتونست بپوشه و از عکس و فیلمبرداری همیشه فراری بود چون میدونست که اندامش توی عکس همیشه زشت میفته..☄️ 🔺 هر چی رژیم میگرفت ورزش میکرد بیشتر چاق میشد 🚫 چون علت اصلی چاقیش ، پرخوری نبود .. علتش نداشتن بادی آنالیزور بود، که خودش نمیدونست .
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. ⚠️و اگه این سموم و مواد زائدی که مدتیه توی بدنت انباشته شدن👇 ⭕️ پاکسازیشون نکنی❌ ⚠️کلا برای همیشه متابولیسمت فلج میشه و ⚠️دیگه لاغری و کاهش وزن برات میشه آرزو، مثل ایشون👇 .
. 📊 اگه بدنت به ویژه شکم پهلوهات چربی داره و هیچ جوره از بین نمیره‼️ ❌راهکارش کم خوری و ورزشهای سنگین نیست... 🚫 چون با کم خوری بدنت فکر میکنه قحطی شده و بیشتر چربیها رو توی خودش ذخیره میکنه 🔕 اصلا علت چربی بدنت از پرخوری نیست ⬇️ علتش انباشتگیه سمومه 🚫 📌که ۹۹٪ خانمها بهش مبتلا هستن ❌ ⚠️و تنها دلیلش نداشتنِ بادیآنالیزوره⚠️ .
. ⭕️ کجای بدنت بیشتر چربی داره⁉️ 1️⃣ شکم پهلو 2️⃣ بازو 3️⃣ ران و باسن 4️⃣ خط سوتین 5️⃣ کل بدن 🔹فقط عددش رو بفرست برام پشتیبانی تا برای آب کردنش راهنماییت کنم 👇 @poshtibani_morabibartar .
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Showing the 12 most recent of 779 posts we hold for @fit_aghayi. 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.
@fit_aghayi edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
The 6 most recent of 12 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
🚨اگه فقط یکی از این علائم رو داشته باشی، تو هم غلبه بلغم داری‼️ کدومش بیشتر شبیه توعه👇⁉️
The shares total 233%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
⬜️کدوم رو بیشتر میپسندی⁉️👇
The shares total 114%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
⭕️⭕️ تا حالا شده تو هم مثل زهرا👆تو مهمونی ها از خجالت شکمتو مخفی کنی؟!
Shares as published. No per-option vote count is published by Telegram, so none is shown.
⛔️کجای بدنت بیشتر چربی داره⁉️
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
📊 سایز لباست چنده⁉️
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
.
The shares total 127%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 779 most recent posts we hold, published 5 August 2026 to 5 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“️ اکسیر لاغری/زهراآقایی” (@fit_aghayi), 70,293 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/fit_aghayi.
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.