Politics & activism — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
16 measurements spanning 77 days, net -35. 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 1,754–1,799 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Nov 2026, 07:50
1,759
-2
3 Nov 2026, 23:29
1,761
-2
31 Oct 2026, 16:36
1,763
-3
28 Oct 2026, 11:50
1,766
-2
25 Oct 2026, 01:51
1,768
-4
19 Oct 2026, 05:40
1,772
-1
15 Oct 2026, 20:36
1,773
-2
13 Oct 2026, 02:50
1,775
-6
7 Oct 2026, 03:58
1,781
-1
30 Sept 2026, 16:16
1,782
+1
15 Sept 2026, 23:58
1,781
-4
11 Sept 2026, 23:18
1,785
-3
30 Aug 2026, 05:46
1,788
-2
26 Aug 2026, 22:14
1,790
-3
24 Aug 2026, 07:34
1,793
-1
22 Aug 2026, 17:45
1,794
first reading
Engagement
14 posts held, back to 16 March 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 14 posts for this entry, the most recent from 17 February 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 30s
Average length
2m 23s
Measured directly from 4 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
443 reactions across 12 posts, in 11 distinct kinds. The most used accounts for 48.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
216
48.8%
👎
121
27.3%
❤
73
16.5%
👏
13
2.93%
🥰
6
1.35%
😢
5
1.13%
😁
3
0.677%
🤔
2
0.451%
🤯
2
0.451%
🔥
1
0.226%
🙏
1
0.226%
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 12 of the 14 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 443 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 16 March 2021 to 17 February 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
.
مجلس نماینده‌ای می‌خواد که بدونِ #لکنت_زبان و با #صراحت و #شجاعت ، حرفِ #مردم را بزند و واقعا می‌توان گفت کمتر نماینده‌ای در مجلس است که مانند دکتر #پزشکیان بتواند ، حرفِ بخشی از مردم را از تریبون علنیِ مجلس ، فریاد بزند
.
.
.
📌 نظر شخصی خودم : در کنار تمامِ گلایه‌هایِ حقی که برخی از #مردم از رفتار مسئولین و حاکمان دارند ، اما حضور امثال #دکتر_پزشكيان ، باعث می‌شود که #حداقل ، #صدای_مردم گهگاهی از مجلس شنیده شود . …
نیلوفری حامدی خبرنگاری که از لحظه اول به بیمارستان کسرا رفت و کنار خانواده #مهسا_امینی بود، دستگیر شد. او اولین خبرنگاری‌بود که خبر درگذشت مهسا را رسانه ای کرد.
📸عکس مادر و پدر مهسا در بیمارستان را نیلوفر حامدی گرفته بود.
@drpezeshkianfan
پزشکیان: برخورد با مقصران پرونده «مهسا امینی» حق است و باید مطالبه شود»/ دشمن به دنبال راه انداختن جنگ داخلی است
🔹نماینده مجلس: در قضیه مهسا امینی باید با مقصران برخورد شود تا دفعه دیگر این اشتباهات تکرار نشود؛ این حرف حق است و باید مطالبه کرد
🔹اینکه توی خیابان بریزند، پرچم ایران را آتش زده، روسری از سر خانمی بردارند و نیروی انتظامی را کتک زنند، دقیقا همان چیزی است که دشمن می‌خواهد
🔹معتقدم مردم و آن‌هایی که دنبال …
👤 مسعود پزشکیان با تاکید بر پیگیری قاطع پرونده «مهسا امینی» و اطلاع رسانی شفاف و دقیق به مردم گفت:
باید با مقصران برخورد شود تا دفعه دیگر این اشتباهات تکرار نشود؛ این حرف حق است و باید مطالبه کرد اما اینکه توی خیابان بریزند، توهین به رهبری کرده، پرچم ایران را آتش زده، روسری از سر خانمی بردارند و نیروی انتظامی را کتک زنند، دقیقا همان چیزی است که دشمن می‌خواهد.
دشمن به دنبال ایجاد تفرقه و راه انداختن جنگ داخلی است …
🎥 رضا ربع‌پهلوی از ایران بوی کباب شنیده، اما نمی‌داند که خر داغ می‌کنند!
✍ توییت: رحمت‌‌اله بیگدلی
▪️رضا ربع‌پهلوی فکر می‌کند در آمریکا عیاشی کند و ملت ایران در سوگ #مهسا_امینی به‌جان هم بیافتند و او با حمایت دشمنان ایران سوار بر موج و شاه ایران شود!
او از ایران بوی کباب شنیده، اما نمی‌داند که خر داغ می‌کنند!
ملت ایران حکومت فردی را سه‌طلاقه کرده و استفراغ خود را دوباره نمی‌خورد!
▪️مرحوم اردشیر زاهدی آخرین وزیر …
🎥 ببینید | حجاب، قانونی که دلبخواه اجرا می‌شود؛ چرا در انتخابات یا هر مراسم حکومتی، خبری از گشت ارشاد نیست؟ شل حجاب‌های خودی؟!! (فیلم) / عصرایران
@drpezeshkianfan
📢 گوگل هم فیلتر شد؟
◀️ بعد از فیلتر اینستاگرام و واتس اپ،دسترسی به گوگل هم قطع شد.
◀️ بعد از قطعی اینترنت موبایل، اینترنت خانگی هم دچار اختلال شد.
👈 وزیر ارتباطات دیروز به صراحت احتمال هرگونه قطعی اینترنت را تکذیب کرده بود.
_
@drpezeshkian_ir
سلام خدمت دوستان
فعلا با این وضعیت اینستاگرام ، فعالیت در اینجا رو شروع می‌کنیم
لطفا در اشتراک‌گذاری پست‌ها ، کمک‌مان کنید
👇👇
http://telegram.me/joinchat/BAo6vz9_kPd_FSTk2jCipw
🔴 این «ماییم» که می‌توانیم برای این مملکت کاری بکنیم نه یک فرد. کار را «ما» می‌کنیم
🔴 آدم‌هایی درست نکنید که بعدا خودتان بمانید که چگونه آنها را پایین بیاورید
👤 مسعود پزشکیان روز یک‌شنبه ۲۴ اسفند در مسجد ولی‌عصر (عج)، جنب تئاتر شهر تهران در جمع تعدادی از فعالان شهری تهران و البرز، گفت:
🔹 این «ماییم» که می‌توانیم برای این مملکت کاری بکنیم نه یک فرد. کار را «ما» می‌کنیم
🔹 برای اینکه بعدا آدم فکر می‌کند کسی است. بهت…
👍2❤1
Showing the 12 most recent of 14 posts we hold for @drpezeshkianfan. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
DJ AMB @djambmusic2 · 80,666 Telegram ranks this channel #18 of 64 here — alongside 63 others — read 22 August 2026
🎵 آهنگ جدید ترکی @TurkeyMusic20 · 28,170 Telegram ranks this channel #20 of 61 here — alongside 60 others — read 10 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“هواداران دکتر پزشکیان” (@drpezeshkianfan), 1,759 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/drpezeshkianfan.
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.
