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 99% 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
33 measurements spanning 42 days, net +6,485. 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 9,145–17,576 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:58
16,603
+2,860
16 Sept 2026, 15:56
13,743
+1,905
14 Sept 2026, 16:16
11,838
+353
13 Sept 2026, 05:38
11,485
+20
11 Sept 2026, 08:19
11,465
+93
8 Sept 2026, 16:59
11,372
+140
5 Sept 2026, 12:38
11,232
+56
3 Sept 2026, 17:59
11,176
+56
2 Sept 2026, 07:27
11,120
+28
1 Sept 2026, 06:36
11,092
+5
31 Aug 2026, 07:35
11,087
+4
30 Aug 2026, 10:13
11,083
-11
29 Aug 2026, 07:13
11,094
-3
28 Aug 2026, 08:56
11,097
+85
27 Aug 2026, 09:36
11,012
+28
26 Aug 2026, 08:18
10,984
+74
25 Aug 2026, 07:15
10,910
-3
24 Aug 2026, 10:13
10,913
+8
22 Aug 2026, 19:33
10,905
-59
21 Aug 2026, 08:02
10,964
first reading
Engagement
57 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 40 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
40.2%
avg views ÷ 16,603 subscribers
Avg views / post
6,670
18 posts measured
Reaction rate
3.72%
reactions ÷ views · ER floor
Posts in window
18
of 57 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
57 (5 August 2026 – 2 September 2026)
Views total
120,020
Reactions total
4,463
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:57 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.
Reaction mix
13,601 reactions across 57 posts, in 26 distinct kinds. The most used accounts for 57.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7,758
57.0%
❤🔥
1,119
8.23%
😁
824
6.06%
😍
701
5.15%
👍
677
4.98%
😭
537
3.95%
👎
477
3.51%
🍓
377
2.77%
🔥
368
2.71%
💔
222
1.63%
💘
164
1.21%
🕊
68
0.5%
🍾
62
0.456%
💯
45
0.331%
👀
44
0.324%
🤩
38
0.279%
🌚
28
0.206%
👏
22
0.162%
🦄
20
0.147%
☃
17
0.125%
6 further kinds
33
0.243%
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 57 of the 57 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 13,601 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 5 August 2026 to 2 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.
Have you ever heard anything about this?
The learning curve.
این نمودار مسیر یادگیری رو رسم کرده، البته که اگه مقداری سرچ کنید میبینید که مسیرهای مشابه و متفاوت دیگهای هم هست، ولی در همگیشون این مفهوم مشترک وجود داره که
«بخشی از هر مسیر تازه که فرد در همون ابتدای شروعش باهاش مواجه میشه، ابهام، خستگی، یاد نگرفتن، گیج شدن و سردرگمی هست»
اما در صورتی که توی این مرحله فرد ادامه بده به یادگیری و صبور باشه و تحمل داشته…
من،
با علایم پیشرونده،
درحال به یادآوردن بیمارهایی که توی بخش معاینه کردم،
مخصوصاً اون مورد کلبسیلا که استاد گفت اگه کسی به بیمار یا تختش دست زده دستاشو بشوره (و من با کمک دستهام لم داده بودم به تختش😀)
وبینار تابستانه شماتیک | مسیر رتبهبرتر شدن همراه با سه رتبه یک کنکور
زمانی که ما کنکور داشتیم خیلی کم پیش میومد از این وبینارها و من خودم بجاش مصاحبههای برترها رو زیاد میدیدم، الان هم البته زیاد نیستن خیلی، ولی به هرحال فرصت خوبیه*-*
منتظرتونیم🤍
Showing the 12 most recent of 57 posts we hold for @farnaz_hsz. 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.
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.
دکترپوریاخیراندیش @Drkheyrandish_bio · 36,090 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 1 September 2026
آکادمی مشاوره کنکور دکتر امیری @dramiriacademy · 22,959 Telegram ranks this channel #71 of 79 here — alongside 78 others — read 19 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“فرناز حسن زاده | رتبه یک کنکور ۱۴۰۱” (@farnaz_hsz), 16,603 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/farnaz_hsz.
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.
