National news — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 30% 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
8 measurements spanning 67 days, net -20. 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 504–530 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Oct 2026, 07:06
507
-1
4 Oct 2026, 01:01
508
-6
19 Sept 2026, 04:16
514
-2
10 Sept 2026, 15:01
516
-2
25 Aug 2026, 01:48
518
-4
16 Aug 2026, 16:48
522
-5
8 Aug 2026, 04:00
527
no change
7 Aug 2026, 13:09
527
first reading
Engagement
19 posts held, back to 24 July 2024 — 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 19 posts for this entry, the most recent from 5 October 2024. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 58s
Average length
1m 00s
Measured directly from 5 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
304 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 33.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
102
33.6%
👏
57
18.8%
🔥
42
13.8%
❤
37
12.2%
👌
19
6.25%
❤🔥
15
4.93%
💩
8
2.63%
💯
6
1.97%
👎
4
1.32%
🤯
4
1.32%
💔
2
0.658%
😱
2
0.658%
🤮
2
0.658%
😍
1
0.329%
😨
1
0.329%
🙊
1
0.329%
🤔
1
0.329%
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 17 of the 19 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 304 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 24 July 2024 to 5 October 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.
مردم مشتاق از یکی دو ساعت بعد نیمه‌شب به میدان سپه (توپخانه) آمده‌اند. ساعت پنج صبح، دیگر جا برای سوزن‌انداختن نیست. تماشای دسته‌جمعی، همیشه برای شهروندان #طهران جذاب است؛ مخصوصاً اگر سوژه، مرگ خویشتن باشد.
چوبه دار عدلیه در میدان توپخانه از ۲۵ سال پیش که #شیخ_فضل_الله_نوری را از آن حلق‌آویز کرده بودند، دیگر هیچگاه چنین جمعیتی به خود ندید. «اولین قاتل زنجیره‌ای ایران» حالا به جای «شیخ مشروطه مشروعه» سر به دار می‌شد..…
جامعه را از میدان اعدامَش میشود شناخت!
برای «مردمِ تشنه‌ی تماشا»، فرقی نمی‌کند شیخ نوری (۱۲۸۸ ه.ش) از چوبه‌ی دار حلق‌آویز شده باشد یا اولین قاتل زنجیره‌ای ایران (۱۳۱۳ ه.ش).
اما #دختر_مشروطه، «تماشاچی» نبود. او برای «نو شدنِ فکرها»، فعال بود.
به قول #بهار، رفیقِ قدیمیِ پدرش:
از پس مشروطه نو شد فکرها
سبکهایی تازه آوردیم ما
@dokhtare_mashrooteh
🎙 #پادکست
🎧 از عشق تا سیاست
#آلن_دو_باتن | #جستارهایی_در_باب_عشق
🎞 هزینه دو تا سفرت با تاکسی اینترنتی رو برای تماشای قصه‌ی مستندِ #دختر_مشروطه کنار بذار؛ بهمون پیام بده:
@nobonyad_admin
#عشق_و_سیاست | #عشق | #سیاست | #دختر
@dokhtare_mashrooteh
شوفر برای گذشتن از گردنه اسدآباد عجله داشت؛ هوا سرد و بارانی بود. در تاریکی به هیچ عنوان نمی‌شد از جاده لغزنده و خطرناک کرمانشاه-همدان عبور کرد. برای همین، نیم‌ساعت بیشتر در هتل هلال توقف نکردند و بلافاصله بعد از ناهار به سمت طهران راه افتادند.
ساعتی قبل، آن سوی مرز، بانوی ۲۷ ساله روی «پل اَلوَن»، از ورای مه، به رود ناآرامِ الوند که باغ‌ها و نخلستان‌ها احاطه‌اش کرده بودند، خیره شده بود. هم‌نوا با #الجواهری آرزو کرد …
وقتی سید روح‌الله #خمینی به خواستگاریِ بتول‌سادات در محله امیریه طهران می‌رفت، #دختر_مشروطه «معلمِ» مدرسه‌ی آمریکایی در خیابان قوام‌السلطنه بود. دومین سالی بود که در محل تحصیل سابقش درس می‌داد.
#رضاشاه هم کسی را به خواستگاریِ «خانم معلم» فرستاد. نه برای خودش؛ برای فرزندان خردسالش، معلم خصوصی و برای ملکه دربار، ندیمه می‌خواست. چه کسی بهتر از یک سِلبریتیِ ادیب و #معلم.
سیدروح‌الله مانند رضاشاه، پاسخِ «نه» شنید. بتول،…
☄ خرید ویژه مستند #دختر_مشروطه
🪴مستندی متفاوت درباره‌ی
دُختر
شِعر
عِشق
و سیاسَت
🌱 برای تهیه مستند به این آیدی پیام بدهید:
@nobonyad_admin
@dokhtare_mashrooteh
🚨دختر و دیکتاتور
💡ما مُهِمّیم! مهم بودیم.
نه فقط وقت انتخابات؛ یا لحظه عیّاشی و معشوقه‌بازی ... زمان چیدن ثمرات؛ یا برای آبروداری و عقده‌گشایی.
اراده ما همیشه بوده؛ هست؛ خواهد بود.
🗓️ امروز سالگردِ صدور فرمان مشروطیت‌ه؛
مشروطه‌ای که از دلش دیکتاتوری دراومد.
قصه‌ی «دختر مشروطه و دیکتاتور» رو با «۵۰ درصد تخفیف» ببینید:
@nobonyad_admin
#دختر_مشروطه | #دختر_ایرانی | #دختر
💌 ممنونیم که ما رو به بقیه معرفی می‌کنید:
@d…
گفتگوی مفصل روزنامه‌نگارِ آمریکایی با سلبریتیِ ۲۰ ساله‌ی طهران در سال ۱۹۲۶
"تمام شهر، #دختر_مشروطه را می‌شناختند؛ رضاشاه جرأت نمی‌کرد مجبورش کند. او هم آنقدر تیزهوش بود که شاعرِ دربار و معلمِ ملکه و اشرف و شمس و محمدرضا نشود..."
💌 مستند #دختر_مشروطه رو از دست ندید و به دیگران هم معرفی کنید
ادمین:
@nobonyad_admin
آدرس کانال:
@dokhtare_mashrooteh
@nobonyad_net
والله که شهر بی‌تو مرا حبس میشود
آوارگی و کوه و بیابانم آرزوست
#دختر_مشروطه
@dokhtare_mashrooteh
❤🔥8🔥2👏1
Showing the 12 most recent of 19 posts we hold for @dokhtare_mashrooteh. 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
Named by 1 registered channel — 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.
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 13 October 2026 — this
entry's latest reading, not the date you are reading this.
“دختر مشروطه” (@dokhtare_mashrooteh), 507 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/dokhtare_mashrooteh.
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.
