Channel
@fit_aghayi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Cite this entry
69,592subscribers
+3,935 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 |
| 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 | 28 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 28 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 00:31 | 69,592 | -115 |
| 26 Oct 2026, 20:51 | 69,707 | -113 |
| 25 Oct 2026, 22:16 | 69,820 | -23 |
| 24 Oct 2026, 23:00 | 69,843 | -55 |
| 24 Oct 2026, 01:51 | 69,898 | +156 |
| 23 Oct 2026, 04:07 | 69,742 | -13 |
| 22 Oct 2026, 05:30 | 69,755 | -93 |
| 20 Oct 2026, 22:11 | 69,848 | +84 |
| 19 Oct 2026, 19:48 | 69,764 | -72 |
| 18 Oct 2026, 21:38 | 69,836 | -81 |
| 17 Oct 2026, 20:27 | 69,917 | -108 |
| 16 Oct 2026, 17:27 | 70,025 | -123 |
| 15 Oct 2026, 16:07 | 70,148 | -57 |
| 14 Oct 2026, 19:25 | 70,205 | +178 |
| 13 Oct 2026, 07:18 | 70,027 | -142 |
| 9 Oct 2026, 00:36 | 70,169 | -124 |
| 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 | first reading |
1,038 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 169 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 136 of 357 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 1,038 (5 August 2026 – 27 October 2026) |
| Views total | 389,368 |
| Reactions total | 331 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 20:12 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.
Measured directly from 55 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.
1,228 reactions across 385 posts, in 3 distinct kinds. The most used accounts for 90.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,109 | 90.3% | |
| 👍 | 101 | 8.22% | |
| 🥰 | 18 | 1.47% |
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 410 of the 1,000 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 1,228 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 27 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.
. 📊 میخوام امروز به 100 نفر مشاوره رایگان بدم… 💬 💬و از بینشون فقط 10 نفر رو vsl ای کنم 🎁 و "رمزنامه لاغری" رو هم بهشون "رایگان" بدم ‼️اگه میخوای جزو این 10 نفر باشی… ✨ده نفر خوششانس… ✉️ سریع کلمه «مشاوره» رو بفرست برام👇 @poshtibani_morabibartar .
. 🔽چون پشتیبانی بچههای vsl ای صفر تا صدش با خودمه… 💯و نمیخوام کیفیت این پشتیبانی کم بشه ⚠️به خاطر همین فقط یه تعداد محدودی رو میتونم vsl ای بکنم 👍و اگه خوششانس باشی و بتونی vsl ای بشی و "رمزنامه لاغری" رو داشته باشی، چی میشه:⁉️ 1️⃣کوره چربیسوزی بدنت برای همیشه روشن میشه 2️⃣ متابولیسمت رو غلتک میافته 3️⃣ توی دو هفته شکم پهلوهات آب میشه 4️⃣ دیگه توی خوابم چربی میسوزونی .
. ⛔️ببین این "رمزنامه لاغری" و "سیستم بادی آنالیز" رو من حتی به خواهر خودم هم نمیدم ❗️چون فقط و فقط مختص خانمهای vsl ای هستش… 🚫و به جز من و خانمهای vsl ای، هیچکس بهش دسترسی نداره❌ ✔️خانمهای vsl ای که شکمشون سریع تو 2️⃣ الی3️⃣ هفته اول میره تو… ⌛کمرشون ساعت شنی میشه… 👑خانمهایی که مثل الهه ونوس میدرخشن و جذابن .
. ⛔️مهناز هم مثل خیلیاتون چندماه برنج و نون حذف کرده بود… ❌ریزش موی شدید گرفته بود ⚠️هورموناش به هم ریخته بود ‼️توی مهمونیها از شکمش خجالت میکشید… و گوشهگیری میکرد 🪞از آینه فراری بود ✔️تا این که vsl ای شد… ✔️و با بادی آنالیزور آنالیز شد 🔥و توی 2️⃣ هفته شکمش تخت شد ✨رفت و با ذوق لباس خوشکل که آرزوشو داشت واسه خودش خرید و راحت اندازش شد ⚡️متابولیسمش ده برابر شد… 🔖و با "رمزنامه لاغری" هم بدنش پاکسازی شد… 🔥و کو…
. ⛔️رازِ مخفیِ تخت شدنِ شکم سهیلا ‼️که خیلیا بهت نگفتن👆 .
❤1
. ⌛و بعد از3️⃣ هفته… ‼️اون شکمی که هیچجور آب نمیشد، به طرز معجزهآسایی تخت شد ✔️دیگه پلهها رو راحت بالا پایین میرفت… ✔️و درد کمرش خوب شده بود 👗✨و پیش شوهرش لباسهای خوشگل و جذب میپوشید… ✔️و اعتماد به نفسش خیلی زیاد شده بود .
. ⛔️سهیلا ده سال دنبال یه راهحل ساده و سریع برای لاغری بود… ‼️چون دیگه واقعاً از اون شکمش خسته شده بود ❌هیچ لباسی سایزش نبود ❌دیگه به هیچ راه و روشی اعتماد نداشت 💬ولی چون قبل و بعد شاگردای من رو دید… بهمون اعتماد کرد و vsl ای شد ✔️"بادی آنالیزور" رو بهش دادیم و آنالیز شد 📊بادیآنالیزور برنامه مختص خودش رو بهش داد 🔥و با "رمزنامه لاغری"، کوره چربیسوزی بدنش رو روشن کرد
. 💬ببین، سهیلا مثل تو شکمش مثل تبل پف کرده بود. ❌دکمه شلوارش به زور بسته میشد 💔شوهرش همش بهش طعنه میزد و میگفت: اندامت رو دوست ندارم 📱چون سهیلا هم مثل خیلیاتون اصلا "بادی آنالیزور" نداشت… ❌و نمیدونست که حذف شام فقط ریزش مو میاره و پوستشو خراب میکنه و اصلا شکمشو آب نمیکنه .
. 📉جالبه بدونی… بیشتر کسایی که شکم پهلوشون هیچوقت آب نشده… ⛔️و همیشه آرزوی پوشیدن لباسهای سایز کوچک و خوشگل رو داشتن… ❌مشکلشون اصلاً پرخوری نبوده‼️ 🔴تنها مشکلشون این بوده که سیستم بادی آنالیزور" نداشتن…" 📱 و اصلاً "بادی آنالیز" نشدن 📊سیستمی که بچههای vsl ایِ من دارن باهاش آنالیز میشن… ✨و 2️⃣ هفتهای شکمشون رو تخت میکنن… ‼️ولی تو هنوز ازش نداری… ❌چون اصلا vsl ای نیستی❌ .
. 📊میدونی چرا⁉️ ⚠️چون بدنت فقط کالری نمیشماره 🔼وقتی یه مدت رژیم سخت میگیری، بدنت فکر میکنه قحطی شده❌ 📉نتیجه… ❌متابولیسمت یخ میزنه ❌بدن چربی تو ناحیه شکم پهلو ذخیره میکنه ⚠️و دچار واژگونی آنابولیک میشی 🔻این یعنی هرچی کمتر بخوری، بیشتر چاق میشی‼️ .
❤2
. 🚨 بزرگترین دروغی که صنعت لاغری به آدما گفته اینه که هرچه کمتر بخوری، شکمت سریعتر آب میشه ▫️به خاطر همین، خیلیا وعدههاشون رو حذف میکنن… ❌شام نمیخورن… ❌گرسنگی میکشن… 🔴ولی هنوزم اون شکم لعنتی سرجاشه .
❤1
🔥 چند بار تا حالا رژیم گرفتی و اون شکمت آب نشد؟ 1️⃣ 1 الی 3 بار 2️⃣ بیش از 3 بار 💬 چونکه اصلا علت اون شکمت ، پرخوری نبوده ❌ ✅فقط عددش رو برام بفرست تا کمکت کنم سریع شکمت فیت بشه👇 @poshtibani_morabibartar .
Showing the 12 most recent of 1,038 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 17 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 256%, 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 115%, 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.
اینجا بگو👇
Shares as published. No per-option vote count is published by Telegram, so none is shown.
⭕️درصد چربی بدن تو چقدره ⁉️ 🔹اینجا👇بهم بگو میخوام ببینم توی محدوده خطر هستی یا نه‼️
Shares as published. No per-option vote count is published by Telegram, so none is shown.
📈تا حالا شده برای لاغری به زدنِ آمپولهای لاغری فکر کنی⁉️
The shares total 104%, 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.
🚨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.
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 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 27 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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“️ اکسیر لاغری/زهراآقایی” (@fit_aghayi), 69,592 subscribers as measured 28 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.