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 19 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
10 measurements spanning 52 days, net -11. 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 1,068–1,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 21:56
1,070
-1
17 Sept 2026, 16:59
1,071
-1
10 Sept 2026, 00:37
1,072
-1
4 Sept 2026, 15:00
1,073
-1
1 Sept 2026, 09:54
1,074
-1
23 Aug 2026, 11:19
1,075
-4
19 Aug 2026, 18:26
1,079
-1
13 Aug 2026, 00:33
1,080
-1
6 Aug 2026, 12:22
1,081
no change
5 Aug 2026, 22:23
1,081
first reading
Engagement
20 posts held, back to 4 October 2022 — 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 20 posts for this entry, the most recent from 14 October 2022. An engagement rate over an empty window would be a number about nothing.
Reaction mix
49 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 65.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💩
32
65.3%
👍
11
22.4%
❤
6
12.2%
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 11 of the 20 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 October 2022 to 14 October 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🎥رهبر انقلاب: فضای کشور نباید امنیتی شود اما کنارِ کار فرهنگی به کار امنیتی هم نیاز است
رهبر انقلاب با اشاره به یکسان نبودن حکم همهی حاضرین در اغتشاشات خیابانی اخیر:
حکم اینهایی که میآیند در خیابان یک جور نیست؛ بعضیها یا عامل دشمناند یا اگر عامل دشمن هم نیستند همجهتِ با دشمناند، با همان اهداف میآیند در خیابان. بعضیها هم نه، هیجانزدهاند، اینها یک حکم ندارند.
این دستهی دوم را با کار فرهنگی باید درست کرد.…
مراقب خرید از فروشگاه های اینستاگرامی باشید!
یکی از شگردهای مجرمان سایبری در شبکههای اجتماعی از جمله اینستاگرام راهاندازی فروشگاههای جعلی است.
فروشگاههای اینستاگرامی معتبر، معمولا علاوه بر صفحه اینستاگرامی دارای یک وب سایت معتبر و نماد اعتماد الکترونیکی هستند.
#پلیس_فتا
#کلیک_امن
#خرید_امن
تلفن ۱۹۷ پل ارتباطی مردم با مسئولان فراجا، آماده دریافت انتقاد، پیشنهاد، شکایت و تقدیر از عملکرد پلیس است.
#هفته_فراجا_۱۴۰۱
#پلیس_خادم_مردم
#مردم_حامی_پلیس
🔹سردار اشتری، فرمانده فراجا: اعترافات مهمی از آشوبگران وجود دارد که به مرور و در زمان خود منتشر خواهد شد. سلاح میدانی نیروهای ما ساچمه زن پلاستیکی و پینت بال و غیر کشنده است و سلاح جنگی فقط مربوط به داخل مقرهای ما است. برخی از کشته ها با سنگ یا چاقو کشته شده اند و مشخص است توسط چه کسی کشته شده اند. افزایش تعداد کشته ها به نفع طرف مقابل است چون دامنه آشوب بیشتر می شود.
🔹سردار اشتری، فرمانده فراجا:۹۹ درصد بازداشت شدگا…
🔴افشاگری خبرنگار مطرح جهان عرب: برخی عناصر ایرانی در پایگاههای آمریکایی خصوصا پایگاه "تنف" در مرزهای عراق، سوریه و اردن برای این روزهای ایران آموزش دیدهاند! پایگاههای آمریکایی و اسرائیلی در بحرین و اربیل نیز در حال نقشآفرینی در هدایت اغتشاشات ایران هستند!
«حسین مرتضی» خبرنگار و تحلیلگر سیاسی:
🔹 میخواهم حرفی با جوانان ایرانی بزنم: شما ای جوانان ایرانی آیا آنچه در سوریه و عراق روی داد را ندیدید؟ آیا آنچه در ی…
رئیسی: دشمن میخواست حتی آب خوردن ما هم به تحریم بند شود
رئیس جمهور در مجلس:
🔹باید نسبت به مردم زمان شناس شاکر باشیم که دشمنان را در فتنه اخیر ناکام گذاشتند.
🔹دلیل خشم دشمن از ما، طی کردن مسیر پیشرفت با وجود تحریم هاست.
🔹دشمن رسما می گوید فشار حداکثری مفتضحانه شکست خورده است.
@sinakhabarr
#مجله_سرگرمی
این غذاها باعث کاهش یادگیری دانشآموزان میشود
📃 متن خبر 👇👇👇
https://sinakhabar.ir/?p=9170
#سیناخبر 👇👇👇
@sinakhabarr
Showing the 12 most recent of 20 posts we hold for @sinakhabarr. 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 2 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.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“«سیناخبر»” (@sinakhabarr), 1,070 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/sinakhabarr.
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.