Education — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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.
Growth
9 measurements spanning 6 days, net -83. 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 126,675–126,785 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 22:22
126,688
-28
10 Aug 2026, 20:51
126,716
+3
10 Aug 2026, 00:01
126,713
-3
9 Aug 2026, 02:21
126,716
-33
8 Aug 2026, 04:20
126,749
-2
7 Aug 2026, 05:57
126,751
-21
6 Aug 2026, 08:51
126,772
+1
6 Aug 2026, 01:32
126,771
no change
5 Aug 2026, 23:00
126,771
first reading
Engagement
26 posts held, back to 5 June 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
14.2%
avg views ÷ 126,688 subscribers
Avg views / post
18,000
8 posts measured
Reaction rate
0.219%
reactions ÷ views · ER floor
Posts in window
8
of 26 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 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 August 2026
Posts held
26 (5 June 2026 – 9 August 2026)
Views total
144,320
Reactions total
297
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:18 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
417
Videos
176
Links
58
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.
Reaction mix
1,573 reactions across 24 posts, in 15 distinct kinds. The most used accounts for 41.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
655
41.6%
😁
368
23.4%
👍
197
12.5%
👌
194
12.3%
💔
41
2.61%
👀
35
2.23%
👏
30
1.91%
😢
28
1.78%
🫡
8
0.509%
😈
4
0.254%
🤝
4
0.254%
🤩
4
0.254%
❤🔥
2
0.127%
😍
2
0.127%
✍
1
0.064%
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 24 of the 26 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 1,573reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 5 June 2026 to 9 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.
📢 فرصت همکاری با سرمایهگذار برتر
🔔 تا انتها بخوانید
👤 موقعیت شغلی: کارشناس پشتیبانی
سرمایهگذار برتر، بهعنوان اولین و معتبرترین پراپ فرم ایران، در مسیر توسعه تیم خود بهدنبال افرادی توانمند، مسئولیتپذیر و علاقهمند به بازارهای مالی است.
💎 در کنار حرفهایترینهای پراپتریدینگ ایران
سرمایهگذار برتر، بزرگترین و باتجربهترین تیم تخصصی پراپتریدینگ ایران را گرد هم آورده است؛ تیمی از متخصصان حرفهای بازارهای ما…
❗️ پشت یک برند، یک چهره معتبر وجود دارد
🤝 اعتماد به یک مجموعه فقط به اسم آن نیست؛
به کسانی است که پشت آن ایستادهاند.
✅ جناب رضا گلشاهیان، مدیریت محترم مجموعه کامبت کپیتال، از سال ۲۰۱۱ با آموزش رایگان معاملهگری و فعالیت مستمر در بازارهای مالی، همراه هزاران تریدر بودهاند.
🟠 تجربهای که امروز فقط در آموزش باقی نمانده؛
بلکه به شکل یک زیرساخت واقعی برای حمایت از مسیر معاملهگران، در کامبت کپیتال ادامه پیدا کرده است.…
دوره برادران دالتون
7000 دلار
(با تشکر از دوستمون بابت ارسال این دوره)
حرف دوستمون
👇👇👇👇👇👇
قصه این کلاه برداری بزرگ از چهارتا خون آشام بزرگ به اسم پیمان گلشنی ، مسعود و فرشاد و نیما آغاز میشه
یه روز توی یوتیوب یه ویدیو دیدم از یه کانال به اسم استراتژی های الگوریتمی
ایشون که خودشو خدای بازار های مالی نشون میداد و میگفت سبکش از بقیه سبک ها سر تره
بعد اینکه یه دوره رایگان ساخت که کپی سبک ICT و ستاپ های مایکل بود بی…
حرف یکی از عزیزان در مورد ارش بوداد
👇👇👇👇👇👇👇
سلام عزیزم
من ۲ساله دوره آرش وداد خریدم و ۲ساله که دانشجوی آرش وداد هستم
روز اول ثبت نام به من گفت وین ریت ستاپ هاش ۸۵درصده و ۲۰تا ستاپ داره!
اما وقتی دورشو دیدم فهمیدم کلا ۲تا ستاپ هانت و پیووت گفته و بعد اینکه ۲تا ستاپشو بکتست گرفتم تو این ۲سال فهمیدم وینریت ستاپ هاش در بهترین حالت ۳۰درصده!
۲سال از عمر و جوانی منو تلف کرد این دوره🤦♀️🤦♀️🤦♀️
هر چقدر هم خودم و چندصدتا د…
❤86😢23👏12👌7🫡3
Showing the 12 most recent of 26 posts we hold for @G_N_E_S_R_0. 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 — 54 of 1,151,006entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 595 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
بریس | اقتصاد انلاین @farzad_berices · 389,386 Telegram ranks this channel #10 of 60 here — alongside 59 others — read 11 August 2026
PDF | پی دی اف @PDFsCom · 301,977 Telegram ranks this channel #36 of 83 here — alongside 82 others — read 10 August 2026
کتابخانه 🔊 @bo0ok_lovers · 201,280 Telegram ranks this channel #68 of 86 here — alongside 85 others — read 11 August 2026
پادچی | پادکست و کتاب صوتی @podchi · 436,986 Telegram ranks this channel #71 of 82 here — alongside 81 others — read 10 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“دنیای آموزش” (@G_N_E_S_R_0), 126,688 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/G_N_E_S_R_0.
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.
