Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
13 measurements spanning 42 days, net +11. 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 9,446–9,462 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 20:15
9,460
+6
13 Sept 2026, 14:21
9,454
-2
9 Sept 2026, 14:38
9,456
-4
4 Sept 2026, 02:56
9,460
+9
28 Aug 2026, 16:07
9,451
+1
26 Aug 2026, 00:54
9,450
+2
19 Aug 2026, 20:51
9,448
-7
16 Aug 2026, 16:36
9,455
+1
12 Aug 2026, 21:56
9,454
+1
10 Aug 2026, 04:32
9,453
+3
7 Aug 2026, 13:46
9,450
+1
6 Aug 2026, 18:45
9,449
no change
6 Aug 2026, 18:39
9,449
first reading
Engagement
37 posts held, back to 21 July 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 32 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.51%
avg views ÷ 9,460 subscribers
Avg views / post
427
7 posts measured
Reaction rate
0.357%
reactions ÷ views · ER floor
Posts in window
7
of 37 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 4 of 7 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 28 August 2026
Posts held
37 (21 July 2026 – 28 August 2026)
Views total
2,986
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 06:23 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
37m 39s
Average length
3m 08s
Measured directly from 12 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
191 reactions across 29 posts, in 10 distinct kinds. The most used accounts for 81.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
155
81.2%
👍
15
7.85%
🤝
4
2.09%
🤩
4
2.09%
👌
3
1.57%
🤬
3
1.57%
🥰
3
1.57%
💘
2
1.05%
🎉
1
0.524%
🤣
1
0.524%
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 29 of the 37 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 191 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 21 July 2026 to 28 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.
🔸آموزش یکی دیگه از آهنگهای خاطرهانگیز و دوستداشتنی هایده آماده شد 😍
این بار رفتیم سراغ «راوی»؛ یه آهنگ شاد و دلنشین که مطمئنم خیلیهاتون باهاش خاطره دارید. 🎶
حالا میتونید این ملودی زیبا رو با سهتار یاد بگیرید و خودتون بنوازید. 🥰
اگه «راوی» رو دوست دارید و دلتون میخواد این آهنگ رو با سهتار بزنید، آموزش رو از دست ندید.
✅ نت آهنگ + آموزش کامل این آهنگ
👇 جهت تهیه آموزش آهنگ «راوی» به لینک زیر مراجعه کنید
https…
این آهنگ برای من انگار بوی رهایی میده
رهایی از هر چیزی...یا هرکسی....
انگار این شکلیه که توی اوج درد و زخمِ سوگواری،کورسوی نور امیدی هست،انگار راضی ای از همه ی رفتن ها و همه ی از دست دادن ها،حتی اگر خیلی درد داشت. انگار میدونی دلیل همشون چی بوده... شاید اونا باعث شدن بفهمی که....مقصد جای دیگری است...
انگار خدا رو شکر میکنی بابت همه این غم ها و رنج ها.
این انکار یا سرکوب رنج نیست،این پذیرشه...(:
همینقدر رها.. همین…
🎶 بازنوازی یک خاطره قدیمی؛ «ننه» از استاد معین ❤️
در این اجرا، آهنگ خاطرهانگیز «ننه» از آثار ماندگار استاد معین، با آهنگسازی استاد صادق نوجوکی رو با همراهی تنبکِ دوست و هنرمند عزیزم، حنانه فخاری، نواختیم. 🪕🥁
ترانههای قدیمی برای ما فقط یک موسیقی نیستند؛ بخشی از خاطرات و احساسات یک نسلاند. ✨
خیلی خوشحالم که در کنار بازنوازی این آثار ماندگار، میبینم نسل امروز هم با این ملودیها و ترانهها ارتباط خوبی برقرار میکنه…
✅ هر سوالی در مورد مباحث فنی و آموزشی سه تار داری در تالار گفتگوی مخصوص به سه تار بپرس. استاد اقبال با دقت همه رو جواب میدن
💬 لینک تاپیک گفتگوی سه تار رو بزن سوالت رو بپرس 👇
https://www.notebnote.com/forum/groups/1/%D8%AA%D8%A7%D9%84%D8%A7%D8%B1-%D8%B3%D9%87-%D8%AA%D8%A7%D8%B1
مناسبت زادروز استاد بزرگ و تأثیرگذار موسیقی ایران، استاد حسین علیزاده عزیز، قطعهی زیبای «هفتضربی چهارگاه» رو با سهتار اجرا کردم و با تمام عشق و احترام، تقدیم میکنم به وجود نازنین ایشون. ❤️🎶
استاد علیزاده از آن هنرمندانی هستند که موسیقی ایران بخش بزرگی از زیبایی و هویت امروز خودش رو مدیون نگاه، اندیشه و خلاقیت ایشونه. 🙏🌹
زادروز استاد حسین علیزاده مبارک و سایهی هنر و حضورشون بر سر موسیقی ایران مستدام. ❤️
🎵 ساز:…
🎵 چقدر زمان میبره تا اولین آهنگ رو با سهتار بزنیم؟
همه دوست داریم زود به نتیجه برسیم، اما یادگیری سهتار صبوری، تمرین و استمرار میخواد. 🌱
قرار نیست یکشبه نوازنده بشیم؛ مهم اینه که هر روز، حتی قدمی کوچک، رو به جلو برداریم. 🎶
📖 برای مطالعهی مقالهی کامل، به لینک زیر مراجعه کنید و مقاله را بخوانید: 👇
https://www.notebnote.com/blog/details/5475/چقدر-زمان-می-برد-اولین-آهنگ-را-با-سه-تار-بنوازیم-
🔸در این ویدیو، قسمت اول از مجموعه تمرینات وارم آپ (Warm-up) یا گرم کردن برای تقویت انگشت گذاری در تار را که توسط استاد اقبال تدریس شده است، تقدیم شما عزیزان میکنیم.
همانطور که میدانید، انجام تمرینات گرم کردن پیش از شروع به نواختن، یکی از مهمترین عادتهایی است که تمام نوازندگان حرفهای به آن پایبند هستند. این تمرینات به ظاهر ساده، کمک میکنند تا خشکی عضلات و مفاصل دست برطرف شده و انگشتان شما برای حرکتهای سریع، دق…
Showing the 12 most recent of 37 posts we hold for @setar_learning. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Moosighi sonati @moosighi_sonati · 85,015 Telegram ranks this channel #41 of 80 here — alongside 79 others — read 21 August 2026
کُرُن موزیک @koronmusic · 28,733 Telegram ranks this channel #67 of 96 here — alongside 95 others — read 9 September 2026
This channel appears in 2 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش مجازی تار و سه تار” (@setar_learning), 9,460 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/setar_learning.
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.