Engagement
20 posts held, back to 29 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 157.5%
- avg views ÷ 252 subscribers
- Avg views / post
- 397
- 20 posts measured
- Reaction rate
- 0.313%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 5 of 20 measured posts that carry a reaction reading, and over those same posts' views.
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.
Reaction mix
17 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 47.1% of them.
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 5 of the 20 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 August 2026 to 5 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
5 Sept 2026, 20:18 UTC≈1,440 views4 reactionsread 8 September 2026 Photo
💎 دوره هوش مصنوعی علیرضا یزدانی ♊🎁
⚜️قیمت اصلی : ۴.۹۰۰.۰۰۰
⚜️قیمت ما 199 ت ❤️
✅ بصورت mp4 کامل + آپدیتها🎁 🚀🎁
توضیحات فول کامل و تکمیل در لینک زیر👇
https://t.me/Ali74061/123
توضیحات دوره 👇⬅️
1️⃣ یک مسیر کامل برای Stable Diffusion و ComfyUI از صفر تا سطح حرفهای 🌥
2️⃣ از نصب و راهاندازی Stable Diffusion روی انواع سیستمها
3️⃣ استفاده از ControlNet و ساخت کاراکترهای ثابت
4️⃣ تولید تصویر تبلیغاتی و ساخت ویدیو با مدل…
❤🔥2❤1🙏1
5 Sept 2026, 20:18 UTC128 views4 reactionsread 8 September 2026 توضیحات دوره
دوره آموزش جامع Stable Diffusion و ComfyUI (پروژهمحور و حرفهای)
این دوره یک مسیر کامل برای یادگیری Stable Diffusion و ComfyUI از صفر تا سطح حرفهای است.
از نصب و راهاندازی Stable Diffusion روی انواع سیستمها گرفته تا طراحی Workflow در ComfyUI، استفاده از ControlNet، ساخت کاراکتر ثابت، تولید تصویر تبلیغاتی و ساخت ویدیو با مدلهای جدید.
این دوره آموزش Stable Diffusion فارسی بهصورت جامع و پروژهمحور طر…
🔥2❤1👌1
4 Sept 2026, 20:27 UTC134 viewsread 8 September 2026 ....
2 Sept 2026, 08:48 UTC164 viewsread 8 September 2026 ⭕️تخفیف 20 % به اتمام رسید و 15%برای امروز🎁❤️🔥
https://t.me/PACK_NAYABX/828
🆔 ADMIN 🌟
🎁عضو کانال اصلی بشید از فردا فعالیت خفن داریم🔥👇🎁
https://t.me/PACK_NAYABX
1 Sept 2026, 16:50 UTC178 viewsread 8 September 2026 4 ساعت تا پایان تخفیف 20 درصدی🎁⭕️
https://t.me/PACK_NAYABX/828
🆔 ADMIN 🌟
1 Sept 2026, 08:45 UTC182 viewsread 8 September 2026 ⭕️تخفیف 25 % به اتمام رسید . امروز 20 %🎁و فردا 15%⭕️
https://t.me/PACK_NAYABX/828
🆔 ADMIN 🌟
31 Aug 2026, 18:52 UTC191 viewsread 8 September 2026 2 ساعت تا پایان تخفیف 25 %🎁⭕️
https://t.me/PACK_NAYABX/828
🆔 ADMIN 🌟
31 Aug 2026, 11:03 UTC124 viewsread 8 September 2026 Forwarded from @PACK_NAYABX
طبق نظرسنجی که گزاشتیم 25% تخفیف لیست❗️❤️🔥🎁
تا ۱۲ شب نهم شهریور تایم تخفیف پابرجاست✨⭕️فقط تا ۱۲ شب⭕️
🎁لیست VIP ✨🎁🚀
🎁🆔 ADMIN🌟
31 Aug 2026, 11:03 UTC94 viewsread 8 September 2026 Forwarded from @PACK_NAYABXPhoto
❤️🔥لیست دوره های اشتراکی که تا الان برگزار کردیم❤️🔥🎁
⚜️1_سید_محمد_عرشیانفر❤️🔥
⚜️2_سوده_هروی❤️🔥🌸فول پکیج
⚜️3_مهشید_رئیسی💜❤️
⚜️4_آوا_خداداد✨فول⭕️
⚜️5_حسین_ملت_خواه⬅️
⚜️6_بیتا_حسینی❤️
⚜️7_ساریسا_حیدری❤️🔥🌹فول پکیج
⚜️8_فراز_قورچیان❤️🔥❤️🔥❤️🔥🌟
فول پکیج⚜️❤️🔥⚜️
⚜️مجتبی_تمسکی💯⚡️💙فول
⚜️10_مینا_بذرگری ❤️
⚜️11_رنه_سینانی_معجزه33❤️🔥❤️🔥❤️🔥
⚜️12_پانیذ_علیدخت 🌹❤️🔥 فول
⚜️13_ساناز_شفیعی💎❤️🔥🎁فول
⚜️…
30 Aug 2026, 20:25 UTC≈3,400 views3 reactionsread 8 September 2026 Photo
❤️الماس هوش مصنوعی💎💎( AI Journey) 🎁
🏅مدرس:عرفان فرنود
⚜️قیمت اصلی : ۸.۹۰۰.۰۰۰ تومان
⚜️قیمت ما : ۱۹۹ ت
💎 سرفصل های دوره: 👇
1️⃣ نگاه واقعبینانه به دنیای AI📡
2️⃣ پرامپتنویسی فوق حرفهای 📚
3️⃣ ساخت اتوماسیون واقعی با n8n
4️⃣ ویبکدینگ با Claude Code، کار با MCP و ایجنتها ✨
5️⃣ ساخت سیستم هوش مصنوعی شخصی
6️⃣ استراتژی رشد در یوتیوب، اینستاگرام و تلگرام🟠
7️⃣ مدلهای درآمدزایی و گرفتن مشتری🛍
حاصل تجربهی واقعی و یا…
❤2❤🔥1
29 Aug 2026, 15:59 UTC211 views4 reactionsread 8 September 2026 تمام⭕️🔻
@PACK_NAYAB 🔻
❤2❤🔥2
29 Aug 2026, 15:56 UTC250 views2 reactionsread 8 September 2026 Video
آموزش جامع کافی نت ؛ جلسه چهل و ششم و آخر (فرق تبصره 100 با اظهارنامه عادی) @PACK_NAYAB 🔻
❤2
Showing the 12 most recent of 20 posts we hold for @Ali74061. 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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“دوره تعمیرات موبایل از صفر تا صد کافی نت کافینت آموزش خدمات کامپیوتری الماس هوش مصنوعی علیرضا یزدانی عرفان فرنود AI Journey” (@Ali74061), 252 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Ali74061.
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.