Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
Previous handles
Recorded in 2019 as “قبل انقلاب | وحید اشتری” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
32 measurements spanning 43 days, net -97. 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 16,733–16,872 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:58
16,759
+3
15 Sept 2026, 11:59
16,756
+7
13 Sept 2026, 18:40
16,749
-3
12 Sept 2026, 00:58
16,752
-4
9 Sept 2026, 15:55
16,756
-10
6 Sept 2026, 09:16
16,766
-13
4 Sept 2026, 01:35
16,779
-14
2 Sept 2026, 13:14
16,793
-3
1 Sept 2026, 11:09
16,796
-4
31 Aug 2026, 14:17
16,800
-3
30 Aug 2026, 14:05
16,803
-4
29 Aug 2026, 16:39
16,807
-13
28 Aug 2026, 13:06
16,820
+5
26 Aug 2026, 16:09
16,815
+5
25 Aug 2026, 13:02
16,810
-2
24 Aug 2026, 09:53
16,812
+19
22 Aug 2026, 19:47
16,793
+4
21 Aug 2026, 11:39
16,789
-5
20 Aug 2026, 12:13
16,794
-4
19 Aug 2026, 12:01
16,798
first reading
Engagement
45 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.1%
avg views ÷ 16,759 subscribers
Avg views / post
4,540
12 posts measured
Reaction rate
4.04%
reactions ÷ views · ER floor
Posts in window
12
of 45 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 3 September 2026
Posts held
45 (24 July 2026 – 3 September 2026)
Views total
54,437
Reactions total
2,198
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:37 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
2h 42m
Average length
9m 01s
Measured directly from 18 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
7,367 reactions across 44 posts, in 8 distinct kinds. The most used accounts for 37.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,752
37.4%
❤
2,727
37.0%
👎
1,101
14.9%
😁
420
5.70%
🤬
247
3.35%
😭
67
0.909%
🔥
34
0.462%
💔
19
0.258%
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 45 of the 45 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 7,484 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 24 July 2026 to 3 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.
🔷 نوجوانی ما پای سریال «دلیران تنگستان» و تماشای رشادت #رئیسعلی_دلواری و مردان تنگسیر در مبارزه با امپراطوری بریتانیا گذشت.
امروز سالگرد رئیسعلی است!
ولی ما اسم رئیسعلی میشنویم یاد سردار تنگسیری میافتیم.
انگار تنگسیر به ایران، زایش یک ابرمرد دیگر بدهکار بود و بدهیاش را ادا کرد!
#وحید_اشتری
🔴@ghabl_enghelab
دعوت به یک گفتوگوی جمعی با والدین و مربیان و دغدغهمندانِ کودکان و نوجوانان دارای معلولیتهای ذهنی و رشدی
✅اگر فرزند شما با یکی از انواع معلولیتهای ذهنی، اختلالات رشدی، اوتیسم، سندروم داون یا با شرایط مشابه زندگی میکند، یا فردی هستید که در این حوزه تخصص، تجربه یا دغدغه دارید از شما دعوت میکنیم در یک گفتوگوی صمیمی و جدی با ما همراه شوید.
✅ما میخواهیم پای صحبت خودِ خانوادهها و افراد بنشینیم؛ مشکلات و نیازها را…
🔷 تیتر امروز بیبیسی را دیدم خندهام گرفت؛
پایگاه بحرین یکی از همان جاهایی است که وسط جنگ دائم اعلام میکردند هیچ آسیبی ندیده و رسانهها را به خط میکردند که تیتر بزنند تمام موشکهای ایران رهگیری شد.
حالا رسماً میگویند شخم خوردن در حدی است که حالا حالاها امکان برگشت ندارد 💪
#وحید_اشتری
🔴@ghabl_enghelab
🔷 برگردید عقب و مواضع قدیمی مدافعان دولت کنونی با دلار ۲۰۰ هزار تومنی را بخوانید و به روزگار تلخ این مملکت بخندید!
برادرمان کلی آسمان ریسمان بافته که بگوید اگر ما نبودیم دلار ۴۰۰ هزار تومان بود.
در هر شرایطی با هر نرخی از دلار همه دولتها و حامیانشان همیناند!
#وحید_اشتری
🔴@ghabl_enghelab
🔷 خلاصه آقای پزشکیان در گفت و گوی تلویزیونی با تعریف از عملکردش در کنترل قیمت ارز ظاهرا میخواست بگوید؛
«قیمت دلار [میتوانست] خیلی بالاتر از این هم برود.»
ولی گفت؛
«قیمت دلار [میتواند] خیلی بالاتر از این هم برود.»
و فردایش هشت هزار تومان رفت روی قیمت دلار!😃
به همین سادگی!
#وحید_اشتری
🔴@ghabl_enghelab
🔹 دختران فقط زنده به گور نمیشدند.
این گزاره به تنهایی برای ترسیم وضعیت کافی نیست.
تحقیر زنان سیستماتیکتر از این حرفها بود.
تا پیش از آئین جدید زنان حقی از ارث نداشتند!
در بسیاری از قبایل، زن، خودش بعنوان یک دارایی به ارث میرسید.
در خیلی از قبایل زنان حق مالکیت نداشتند.
🔹 پیش از محمد (ص) «مَهر» وجود داشت، اما حق زن نبود.
مهریه به خانواده یا ولی زن پرداخت میشد.
ازدواج بدون اختیار و صرفا با انتخاب ولی بود.
محمد(ص) …
🔹 «حرف نمیزنی؟ خب میخواهی چکار کنی؟ میخواهی بجنگی؟ خب آمد و زد؛ الان برویم درست کنیم، دوباره میآید میزند.»
🔹 این سخنان شبیه حرفهای امروز است ولی برای ۱۹ مرداد ۱۴۰۴ است. بیش از یکسال پیش و قبل جنگ ۴۰ روزه!
🔹 تحلیل خوشبینانه:
«نه آنموقع تبعات حرفهای شان را میفهمیدند نه امروز!
#وحید_اشتری
🔴@ghabl_enghelab
🔷 حرف زدن در جنگ پیشکش!
آقای پزشکیان در غیر جنگ هم که میخواست دو کلمه مثلا در مورد آب کشور حرف بزند آنقدر تخیلی توی دل مردم را خالی میکرد که تیتر همه رسانهها میشد!
یک ماه هم کل دولت بسیج میشدند که افتضاح را جمع کنند.
متاسفانه اسم این افتضاح را بیان صادقانه مشکلات گذاشتهاند.
#وحید_اشتری
🔴@ghabl_enghelab
🔺 بازم گلی به جمال این دوستمون که یه ور رهبری رو گذاشت یه ور غنی سازی!
میتونست مثل اون یکی دوستمون یه ور رهبری رو بذاره یه ور پوشک.
ولی نگذاشت بازم مردونگی کرد.
#وحید_اشتری
🔴@ghabl_enghelab
🔹 یک کلیپ دیدم طرف اولویت انتقام رهبری را با پوشک قیاس کرد فکر کردم از این ویدئوهایی است که پیرمردهای مجاهدین با هوش مصنوعی میسازند!
تازه طرف رسانهای بود!
خب مرد مومن نظرات مشعشعات را با گوشت، مرغ، خوار و بار، میوه و هزار چیز دیگر که همگی چند برابر شده توضیح بده حالا چرا پوشک؟
🔹 حالا اینکه اصلا معنای جمله و قیاس خونخواهی با قیمت پوشاک را نفهمیدیم به کنار!
ولی خب مثلا ۵ برابر شدن قیمت گوشت در دولت آقای رئیسی مثال …
🔹 خب گیرم غنی سازی را دادید و رهبر را زنده نگه داشتید، اگر ۶ ماه بعد گفت یا صنعت موشکی را تحویل دهید یا رهبرتان را شهید میکنم چه؟
گیرم موشک را هم دادید و رهبر را زنده نگه داشتید، اگر ۶ ماه بعد گفت حق برخورد با تحرکات تجزیه طلبانه در ایران را ندارید وگرنه رهبرتان را شهید میکنم چه؟
🔹 جان رهبرتان را با چه چیزهای دیگری حاضرید معامله کنید؟
گیرم در پس همه این معاملهها هی رفتید عقب و رهبر را در یک مملکت بدون چنگ و دندان…
🔹 بعد از ناکام ماندن حمله نظامی و ترور سران کشور، شیفت کردن مجدد دشمن روی فشار اقتصادی، خودش به معنای اعلام شکست در مراحل قبلی است!
روزهای مهمی است!
فشار روی دوش مردم زیاد است!
لازمه عبور از این شرایط خطیر اینست که مسئولان کشور آرامش خودشان را حفظ کنند و گند جدیدی نزنند!
باتشکر
🔹 انگار دقیقه ۸۴ بازی با استرالیاست!
بعد از گل خداداد فشار روی دروازه ما باورنکردنی است!
حالا کرنر روی دروازه ایران نفسها را در سینهها حبس…
👍173👎60❤31😁16💔3
Showing the 12 most recent of 45 posts we hold for @ghabl_enghelab. 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.
Posts edited after publishing
@ghabl_enghelab edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
15 August 2026
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 17 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.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“قبل انقلاب” (@ghabl_enghelab), 16,759 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ghabl_enghelab.
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.