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 10 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
36 measurements spanning 63 days, net +3,503. 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 10,431–21,496 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
5 Nov 2026, 08:06
15,211
-40
4 Nov 2026, 08:30
15,251
-41
3 Nov 2026, 10:29
15,292
-81
2 Nov 2026, 12:41
15,373
-271
1 Nov 2026, 14:01
15,644
-60
31 Oct 2026, 14:51
15,704
-31
30 Oct 2026, 17:31
15,735
-254
29 Oct 2026, 15:57
15,989
-46
28 Oct 2026, 19:00
16,035
-52
27 Oct 2026, 19:28
16,087
-45
26 Oct 2026, 18:47
16,132
-54
25 Oct 2026, 17:25
16,186
-51
24 Oct 2026, 17:55
16,237
-55
23 Oct 2026, 21:20
16,292
-50
22 Oct 2026, 21:46
16,342
-109
21 Oct 2026, 20:36
16,451
-97
20 Oct 2026, 14:17
16,548
-165
19 Oct 2026, 12:40
16,713
-122
18 Oct 2026, 15:26
16,835
-438
17 Oct 2026, 12:10
17,273
first reading
Engagement
44 posts held, back to 25 August 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 6 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.3%
avg views ÷ 15,211 subscribers
Avg views / post
1,570
24 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
24
of 44 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 4 November 2026
Posts held
44 (25 August 2026 – 4 November 2026)
Views total
37,678
Reactions total
524
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 05:28 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.
Reaction mix
1,586 reactions across 41 posts, in 24 distinct kinds. The most used accounts for 46.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
733
46.2%
🔥
142
8.95%
💯
104
6.56%
❤🔥
91
5.74%
👍
91
5.74%
👌
75
4.73%
👏
60
3.78%
😍
55
3.47%
💩
40
2.52%
💘
37
2.33%
🥰
35
2.21%
😁
30
1.89%
👎
27
1.70%
🎉
17
1.07%
🖕
16
1.01%
😐
12
0.757%
🤩
7
0.441%
🤣
3
0.189%
🤮
3
0.189%
😡
2
0.126%
4 further kinds
6
0.378%
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 41 of the 44 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 1,586 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 25 August 2026 to 4 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 24 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
✍رزمایش قطع برق و ارزیابی آمادهبهکاری مولدهای برق اضطراری در خراسان جنوبی
🔶 به گزارش روابط عمومی مدیریت بحران خراسان جنوبی، رزمایش قطع برق و کنترل آمادهبهکاری مولدهای برق اضطراری با حضور مهندس آخوندی، جانشین استاندار و ارشد هماهنگی مدیریت بحران استان، و مهندس خزائی، مدیرکل پدافند غیرعامل استانداری، در محل شرکت توزیع نیروی برق استان برگزار شد.
در این رزمایش، با شبیهسازی قطع برق، عملکرد و میزان آمادگی مولدهای برق…
🚨 برگزاری مانور آمادگی در مقابل زلزله در مدارس شهرستان شاهین شهر استان اصفهان
♦️به گزارش روابط عمومی اداره کل مدیریت بحران استان اصفهان در هفته پدافند غیرعامل و در راستای ارتقای آمادگی دانشآموزان و کارکنان مدارس در مواجهه با حوادث طبیعی، مانور ایمنی در مقابل زلزله با حضور مدیرکل مدیریت بحران استان، فرماندار شهرستان، شهردار و اعضای شورای اسلامی شهر گزبرخوار در مدرسه شهید اشراقی برگزار شد.
🔷 منصور شیشه فروش مدیر…
هنگام وزش باد شدید چه نکاتی را رعایت کنیم؟ 🌪️
وزش باد شدید میتواند باعث سقوط درختان، پرتاب اشیا، آسیب به سازهها و اختلال در شبکه برق شود. رعایت نکات ایمنی میتواند خطرات احتمالی را کاهش دهد.
🔹 درها و پنجرهها را محکم ببندید و وسایل سبک را از بالکن و پشتبام جمعآوری کنید.
🔹 از توقف در نزدیکی درختان، تیرهای برق، تابلوهای تبلیغاتی و سازههای ناپایدار خودداری کنید.
🔹 خودروها را در مکانهای امن و دور از درختان و سا…
برگزاری نشست علمی «آمادگی در برابر اِلنینو» با حضور رئیس سازمان مدیریت بحران کشور
نشست علمی تخصصی «آمادگی در برابر پدیده آبوهوایی اِلنینو» با حضور دکتر حسین ساجدینیا، رئیس سازمان مدیریت بحران کشور، و جمعی از اساتید، پژوهشگران و مدیران حوزه سلامت و بحران در دانشگاه علوم پزشکی شهید بهشتی برگزار شد.
در این نشست تخصصی که با هدف بررسی ابعاد مختلف پدیده اِلنینو، پیشبینی الگوهای بارش و سناریوهای محتمل پیشرو تشکیل ش…
دوره آموزشی «پدافند هستهای و پرتوی»
این دوره آموزشی با هدف ارتقای دانش عمومی، آشنایی با اصول حفاظت فردی و اقدامات صحیح در شرایط اضطراری، در سامانه آموزش الکترونیکی جمعیت هلالاحمر ارائه شده است.
این دوره با هدف ارتقای آگاهی و آمادگی عمومی در برابر مخاطرات هستهای و پرتوی طراحی شده است. فراگیران با مفاهیم پایه، اصول حفاظت فردی، راهکارهای کاهش مواجهه با پرتو و اقدامات صحیح در شرایط اضطراری آشنا میشوند.
https://learn…
🚨«آشنایی با حوادث CBRNE و انواع تهدیدات شیمیایی، زیستی، پرتوی، هستهای و انفجاری»
قسمت دوم📋
3. حوادث رادیولوژیک (Radiological)
مربوط به انتشار مواد رادیواکتیو در مقیاس کوچک تا متوسط هستند.
پیامدها: قرار گرفتن در معرض پرتو، آلودگی محیطی.
نمونهها: نشت مواد رادیواکتیو از تجهیزات صنعتی یا پزشکی.
4. حوادث هستهای (Nuclear)
شامل وقایع بزرگمقیاس مانند آسیب یا نقص در نیروگاههای هستهای یا انفجارهای هستهای.
پیامدها: امو…
⭕️ دیدار دکتر سیدحمیدرضاکاظمی نماینده مردم شریف شهرستان های پلدختر و معمولان در مجلس شورای اسلامی با رئیس سازمان مدیریت بحران کشور
▪️کاظمی، نماینده مردم پلدختر و معمولان در مجلس شورای اسلامی، با دکتر حسین ساجدینیا، رئیس سازمان مدیریت بحران کشور، دیدار و گفتوگو کرد.
▫️در این دیدار، موضوعات مرتبط با حوزه مدیریت بحران و مسائل و نیازهای شهرستان های پلدختر و معمولان مورد بحث و تبادل نظر قرار گرفت.
چارچوب جهانی آمار مرتبط با بلایا گامی در جهت هماهنگسازی آمار در سطح بینالمللی محسوب شده و با ارائه مفاهیم، تعاریف، طبقهبندیها و توصیههای اندازهگیری مورد توافق بینالمللی، به کشورها کمک میکند تا دادههای مرتبط با بلایا را به اطلاعات آماری قابل اتکا تبدیل کنند. این چارچوب با ایجاد پیوند میان تولیدکنندگان داده و سیاستگذاران حوزه کاهش خطر بلایا، زمینه درک بهتر ریسکهای ناشی از مخاطرات و تدوین سیاستهای مؤثرتر برا…
❤🔥9👌4💯4🔥4😍2❤1
Showing the 12 most recent of 44 posts we hold for @ndmo_ir1. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
با توجه به کمبود ۱۵ میلیون لیتری بنزین و عدم امکان واردات، کدام طرح بنزین دولتی بهتر است؟ ⛽
جبران با صف و تعطیلی پمپ بنزین10%
مانند کرمان، بنزین آزاد ۸۷۲۰۰15%
سهمیه ۱۵۰۰ تومانی به کارت ملی43%
تمامی ما برای صرفه جوپی در بنزین دست در دست یکدیگر بگزاریم46%
The shares total 114%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 44 most recent posts we hold, published 25 August 2026 to 4 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“سازمان مدیریت بحران کشور” (@ndmo_ir1), 15,211 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/ndmo_ir1.
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.