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 13 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
12 measurements spanning 38 days, net +140. 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 5,220–5,402 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 18:40
5,381
+8
12 Sept 2026, 21:57
5,373
+17
8 Sept 2026, 17:19
5,356
+24
3 Sept 2026, 18:36
5,332
+1
31 Aug 2026, 01:57
5,331
+28
27 Aug 2026, 15:33
5,303
+7
24 Aug 2026, 18:48
5,296
+24
20 Aug 2026, 19:35
5,272
-2
17 Aug 2026, 10:14
5,274
+16
13 Aug 2026, 08:53
5,258
+16
10 Aug 2026, 15:58
5,242
+1
9 Aug 2026, 16:18
5,241
first reading
Engagement
25 posts held, back to 24 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 25 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 47s
Average length
45s
Measured directly from 13 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
428 reactions across 23 posts, in 26 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
216
50.5%
👎
47
11.0%
🍌
30
7.01%
👍
23
5.37%
🖕
21
4.91%
🔥
14
3.27%
😍
12
2.80%
🥴
10
2.34%
👏
8
1.87%
❤🔥
5
1.17%
🕊
5
1.17%
⚡
4
0.935%
👌
4
0.935%
💘
4
0.935%
😐
4
0.935%
🤨
4
0.935%
👀
3
0.701%
🙏
3
0.701%
✍
2
0.467%
🏆
2
0.467%
6 further kinds
7
1.64%
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 23 of the 25 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 428 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 24 July 2026 to 11 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.
🎤 احساس ویبره در بدن | مهدی هدایی
وقتی ویبره بهدرستی شکل میگیره، میتونی ارتعاش صدا رو در قسمتهایی مثل قفسه سینه، صورت و سر احساس کنی.
این احساس ارتعاش کمک میکنه ارتباط بهتری با رزونانس و مسیر حرکت صدا در بدن پیدا کنی؛ اما یادت باشه احساس ویبره بهتنهایی نشونهی درستخوانی نیست.
#ویبره #آموزش_آواز
ویبره صدا مادرزادیه؟
| مهدی هدایی
خیلیها فکر میکنن ویبره یا از بدو تولد با آدمه یا اصلاً نمیشه بهش رسید!
اما واقعیت اینه که اگرچه ساختار حنجره، انعطافپذیری عضلات و ویژگیهای طبیعی صدا میتونن روی ویبره تأثیر بذارن، اما ویبرهی کنترلشده تا حد زیادی نتیجهی آموزش صحیح و هماهنگی سیستم صوتیه.
یکی از مهمترین پایهها، تنفس صحیح و کنترل جریان هواست. وقتی حمایت تنفسی، رها بودن حنجره، کنترل فشار هوا و هماهنگی عضلات ص…
ویبره با ضربههای آرام دیافراگم
| مهدی هدایی
یکی از روشهای تمرین ویبره، ایجاد ضربههای بسیار آرام و کنترلشده با دیافراگم است؛ اما هدف، فشار دادن یا تکان دادن شدید شکم نیست.
با ضربههای ریز و منظم، جریان هوا را کمی تغییر میدهیم تا صدای خواننده حالت موجدار پیدا کند.
این تمرین میتواند به درک بهتر کنترل هوا و هماهنگی عضلات تنفسی با صدا کمک کند.
نکته مهم: ویبره نباید از فشار یا انقباض شدید ایجاد شود؛ ویبرهی طبیع…
نوع ویبراتو، امضای سبک آوازی شما
| مهدی هدایی
ویبراتو فقط یک لرزش صدا نیست؛ بلکه میتواند هویت سبک آوازی شما را نشان دهد.
ویبراتوی ظریف و کنترلشده معمولاً در موسیقی پاپ و کلاسیک شنیده میشود، در حالی که در سبکهایی مثل بلوز، جَز یا راک، ممکن است ویبراتو عمیقتر، گستردهتر یا با تأخیر اجرا شود. در آواز ایرانی نیز نوع و میزان استفاده از ویبراتو باید با حالوهوای دستگاه، تحریرها و بیان موسیقایی هماهنگ باشد.
خواننده…
سلام ظهر بخیر
برای کلاسهای آموزشی به من پیغام بدهید
🥴9❤5🔥1😍1
Showing the 12 most recent of 25 posts we hold for @cafeaavaaz. 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.
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.
“cafeavaz | کافه آواز | آموزش آواز و صداسازی نوین” (@cafeaavaaz), 5,381 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/cafeaavaaz.
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.