Religion — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 55 days, net -12. 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 292–308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
1 Oct 2026, 02:01
294
-2
12 Sept 2026, 12:18
296
-3
5 Sept 2026, 05:00
299
+1
29 Aug 2026, 10:33
298
-2
21 Aug 2026, 13:52
300
-4
14 Aug 2026, 23:48
304
-2
8 Aug 2026, 02:43
306
no change
7 Aug 2026, 08:16
306
first reading
Engagement
17 posts held, back to 30 November 2025 — 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 17 posts for this entry, the most recent from 3 December 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
96 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 70.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
68
70.8%
👍
12
12.5%
😭
7
7.29%
💔
5
5.21%
👎
1
1.04%
😎
1
1.04%
🤗
1
1.04%
🤣
1
1.04%
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 17 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 96 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 30 November 2025 to 3 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
📌علی مطهری خطاب به آذرمنصوری: سرنوشت مخالفان حجاب همان سرنوشت مخالفان قصاص در اوایل انقلاب خواهد بود!
🔸پ.ن: اوایل سال ۱۳۶۰ جبهه ملی ایران علیه لایحه قصاص موضع گرفت و آن را «غیرانسانی» خواند. امام خمینی در واکنش، مخالفان را مرتد اعلام کرد که عملاً به پایان حیات سیاسی جبهه ملی و دیگر منتقدان انجامید!
👤 آنتی صهیون: البته اون موقع جمهوری اسلامی داشتیم نه جمهوری اصلاحی!
@madare0120
🔻برخلاف تمام شایعات، پیامها و عملیات روانی دشمن، رژیم صهیونیستی همه تمرکزش را بر ایجاد درگیری داخلی در لبنان و سپس حمایت از یک ضلع این نزاع گذاشته است. در همین چارچوب، امروز در اقدامی تاریخی و بیسابقه، سخنگوی عربزبان ارتش این رژیم، حزبالله را مسئول انفجار بندر بیروت در سال ۲۰۲۰ معرفی کرد و همچنین این حزب را عامل ترور چهار نفر در پرونده مذکور دانست.
🔴 این خط اتهامزنی تازه، بخشی از پازل فشار و اولویتسازی سیاسی…
زاکانی : بعد از نماز صبح از جنگ باخبر شدیم؛ از قبل اطلاع نداشتیم!
🔹 قبل از جنگ در هیئت دولت گزارشهایی در مورد خطرات جنگ داده میشد اما فضایی نبود که دولت بخواهد آرایش جنگی به خودش بگیرد.
@madare0120
اینها بیشتر بهشون میخوره عضو شورای عالی ابتذال فرهنگی باشن تا انقلاب فرهنگی! که اینگونه علیه حجاب که جزء تاکیدات موءکد رهبری هم هست با سوء استفاده و تحریف رهبری، شمشیر میکشند!!
@madare0120
روسیه درحال ساخت جنگندههای سفارش ایران
وبسایت خبری یونایتد-24 با انتشار گزارشی (لینک) براساس برخی اسناد مربوط به کارخانه KnAAZ (کارخانه یوریگاگارین / سازنده جنگنده Su-35)، شرکت NPP-Zvezda (تولیدکننده صندلی اجکت) و شرکت یاکولف (سازنده جنگنده آموزشی-رزمی یاک-130) بیان میکند قطعات مختلف جنگنده Su-35 سوپرفلانکر برای ساخت سفارشات ايران درخواست شده است. این وبسایت ادعا کرده سفارش اولیه Su-35 در نوامبر 2023 انجام شده …
❤3👍1🤗1
Showing the 12 most recent of 17 posts we hold for @madare0120. 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.
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 1 October 2026 — this
entry's latest reading, not the date you are reading this.
“مدار 01:20” (@madare0120), 294 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/madare0120.
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.