National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 44% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 16 of the 23 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 124 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @sepahcybery. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
6 measurements spanning 37 days, net +112,271. 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 1,011,498–1,160,611 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 07:59
1,141,727
-1,679
10 Sept 2026, 03:15
1,143,406
+114,703
7 Aug 2026, 11:50
1,028,703
-562
6 Aug 2026, 10:20
1,029,265
-191
6 Aug 2026, 00:53
1,029,456
no change
5 Aug 2026, 22:31
1,029,456
first reading
Engagement
342 posts held, back to 5 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.49%
avg views ÷ 1,141,727 subscribers
Avg views / post
17,000
186 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
186
of 342 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 12 September 2026
Posts held
342 (5 August 2026 – 12 September 2026)
Views total
3,155,822
Reactions total
49,408
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Sept 2026, 10:27 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.
What this channel posts
Video runtime
2h 21m
Average length
1m 20s
Measured directly from 107 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 168 of this channel’s own posts over the last 30 days (8 of the 24-hour readings behind this are interpolated, not measured directly): across 97 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 2.1 hours of being posted; a typical post has already reached 32.8% of its 24-hour view count within the first hour, and 78.0% within the first six; the median 24-hour reach across those posts is 16,150 views — 1.41% of this channel’s own subscriber count (90th percentile 22,900).
8 most recently posted, with a view-velocity reading
19 minutesupper bound — already past half at first reading · provisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
76,971 reactions across 322 posts, in 23 distinct kinds. The most used accounts for 34.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
26,675
34.7%
👍
11,992
15.6%
🤬
9,893
12.9%
👏
8,175
10.6%
🔥
5,507
7.15%
❤🔥
4,428
5.75%
👎
4,407
5.73%
😍
1,158
1.50%
🫡
1,137
1.48%
😭
760
0.987%
💔
662
0.86%
😐
469
0.609%
👌
411
0.534%
🤔
368
0.478%
🤨
285
0.37%
🎉
192
0.249%
🥰
143
0.186%
🤯
100
0.13%
💯
81
0.105%
😱
46
0.06%
3 further kinds
82
0.107%
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 342 of the 342 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 80,611 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 342 most recent posts we hold, published 5 August 2026 to 12 September 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.
"شبکه ملی اطلاعات" اینترنت ایران را شبیه کرهشمالی میکند؟
دکتر جواد آزادی احمدآبادی - مشاور دبیر شورای عالی فضای مجازی:
«شبکه ملی اطلاعات» به معنای «قطع اینترنت جهانی» یا «اینترنت داخلی شبیه کره شمالی» نیست. این پروژه، در ذات خود، به دنبال خلق یک زیستبوم دیجیتال مستقل، پایدار و امن در درون مرزهای ایران است، بیآنکه ارتباط با جهان خارج قطع شود.
وابستگی زیرساخت دیجیتال به شرکتهای فراملی، به معنای سپردن کلید حاکمی…
🎥 خبرنگار: آیا درباره تحولات ایران و عربستان سعودی و تحرکات در تنگه هرمز نگران هستید؟
🔹ترامپ: «همهچیز بهخوبی پیش خواهد رفت.»
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🔴نشست مشترک فرماندهان ارتش و سپاه
🔹سرلشکر وحیدی، فرمانده کل سپاه در نشست مشترک با سرلشکر حاتمی، فرمانده کل ارتش برای بررسی آخرین وضعیت میادین نبرد بیان کرد: توان نظامی ارتش جمهوری اسلامی ایران فراتر از تصور دشمن است، در این جنگ آنها برآوردهای غلط خود از توان ارتش ما را به عینه مشاهده کردند و واقعیتهای نظامی ایران در میدان رونمایی میشوند. ارتش صهیونیستی بدون پشتیبانی آمریکایی ها در زمانی بسیار کوتاه فرو می پاشد.
🔹…
اینترنشنال امروز :
بله به دلیل حمله اسرائیل به داروسازی عبیدی و توفیق دارو ، ایران با کمبود دارو مواجه شده
اینترنشنال ۶ ماه پیش :
بله همه ما میدانیم همانطور که اسرائیل فاش کرده ، توفیق دارو یک شرکت پوششی برای تولید سلاح های شیمیایی توسط سپاه بوده
مخاطب هم گاو با مغز ماهی !
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🔴 فرماندهکل ارتش: وحدت و هماهنگی موجود میان ارتش و سپاه کلید فتح قلههای امنیت و اقتدار است
🔹سپاه پاسداران در طول بیش از ۴ دهه همواره یکی از ستونهای اصلی قدرت ملی، امنیت و بازدارندگی جمهوری اسلامی ایران بوده و امروز نیز با اتکا به ایمان، تجربه و توانمندیهای راهبردی خود مقتدرانه در خط مقدم دفاع از استقلال و امنیت کشور ایستاده است.
🔹دشمنی مستمر جبهه استکبار با سپاه، خود گواه روشنی بر نقش تعیین کننده این نهاد در حف…
🔴 ادعای تانکرترکرز: صادرات نفت عربستان از هرمز با حفاظت سنتکام افزایش یافت
🔹تانکرترکرز گزارش داد صادرات نفت خام عربستان در هفتههای اخیر روند صعودی داشته است.
🔹بر اساس این گزارش، بخشی از محمولههای صادراتی عربستان از مسیر تنگه هرمز عبور میکنند و تحت حفاظت سنتکام قرار دارند.
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🔴فرماندهکل سپاه: ترامپ برای دستاوردسازی به دروغ و فریبکاری متوسل شده
🔹آمریکایی ها به سد مستحکم ایمان و غیرت ایرانیان برخورد کرده اند و استیصال و درماندگی در رفتار و تصمیمات کاخ سفید موج میزند.
🔹ترامپ برای دستاوردسازی به دروغ و فریبکاری متوسل شده است. دستگاههای اطلاعاتی و نظامی آمریکا و صهیونیستها، مقامات سیاسی آمریکا را نسبت به چالشهای نظامی ایران و تابآوری ایران فریب دادند و امروز هم مقامات سیاسی آمریکایی …
این تصویر را خوب ببینید؛
نوجوانِ سیستانوبلوچستانی، ماکت پدافندی که خودش ساخته را به محفل ستاره ها آورده و از آرزوی بزرگش میگوید.
«سربازان در گهوارهی خمینی» بزرگ شدند؛ جنگیدند، درخشیدند، جان دادند، اما میدان را خالی نکردند.
«سربازان در گهوارهی خامنهای» تازه دارند بزرگ میشوند؛
با این نسل چه خواهید کرد؟!
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🔴 گرسنگی به عنوان سلاح در محاصره پاریس/ چرا ترامپ نمیتواند تاریخ را تکرار کند؟
🔹امروز ترامپ سعی میکند از طریق روش محاصره، مردم ایران را به جان هم بیندازد اما این روش توسط او ایجاد نشده بلکه محصول یک روند تاریخی است که ریشه در حوادث مختلف دارد. یکی از محاصرات تاریخی که احتمالا ترامپ را به سمت این اقدام خبیثانه هدایت کرده، محاصره پاریس در سالهای ۱۸۷۰ و ۱۸۷۱ است.
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🎥از بابالمندب تا تنگه هرمز؛ نمایش قدرت ایران و متحدانش
🔹️عبدالباری عطوان، نویسنده و تحلیلگر سیاسی: در جنگ تنگهها و نفتکشها، ایران آمریکا را شکست داد!
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
🎥 آتشگرفتن سخنگوی موساد از پیروزی حوثیهای یمن در کنترل تنگه بابالمندب؛ چرا هیچ کشوری در برابر حوثیها نمیایستد؟!
منشه امیر، سخنگو و جاسوس موساد:
🔹در دو روز گذشته ورق در یمن برگشت؛ چرا سعودیها، کشورهای عربی، آمریکا و اسرائیل مقابل پیشروی حوثیها قرار نمیگیرند؟!
جمشید چالنگی، فعال سیاسی اپوزیسیون:
🔹همین سؤال در رابطه با ایران است؛ جنگی که آمریکا شروع کرد به هیچ یک از اهداف خود نرسید، برعکس، ورق به نفع ایران برگ…
🔴 صنعا: عربستان باید درک کند یمن دیگر زیر سلطه آن نیست
وزارت خارجه یمن:
🔹طبق حقایق و رویدادهای اخیر عربستان باید این واقعیت را درک کند که یمن از سلطه آن رهایی یافته است
🔹مسیر صلح و توقف اقدامات متجاوزانه برای عربستان کمهزینهتر خواهد بود.
🔹عملیات محدود در برخی مناطق ساحل غربی وضعیت آن مناطق را به حالت عادی بازگردانده است.
سپاه سایبری پاسداران👇🏻
☑️ @SEPAH
👍81❤12🔥6❤🔥3👏2
Showing the 12 most recent of 342 posts we hold for @sepah. 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
Named by 15 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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“اخبار سپاه پاسداران🚩” (@sepah), 1,141,727 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/sepah.
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.