International 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 1 other registered channel. 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 (3 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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 4 August 2026 to 5 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 2, the earliest publisher we hold is @zadolmosafer. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 1 other registered channel, 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.
5 measurements spanning 6 days, net +7. 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 1,213–1,223 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 23:22
1,222
+8
9 Aug 2026, 06:42
1,214
-2
6 Aug 2026, 15:30
1,216
+1
6 Aug 2026, 08:47
1,215
no change
6 Aug 2026, 03:03
1,215
first reading
Engagement
11 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
58.4%
avg views ÷ 1,222 subscribers
Avg views / post
714
11 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
11
of 11 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 5 August 2026
Posts held
11 (3 August 2026 – 5 August 2026)
Views total
7,854
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 08:47 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.
🟡بوسنی و هرزگوین، کشوری با اقوام متفاوت و با گرایشهای سیاسی متضاد است.
🔸این کشور، همکاری گستردهای با ناتو دارد اما همزمان اختلافات جدیای برسر پیوستن به ناتو بین رهبران این کشور درجریان میباشد.
🔸روسیه به واسطه صربهای جمهوری صربسکا (اسلاو جنوبی)مانع از پیوستن این کشور به ناتو شده است.
🔸اما اخیرا وبه موازات تشدید تنش در اروپای شرقی بحثهای غیر رسمی برای افزایش همکاری با ناتو وپیوستن رسمی به آن درمحافل سیاسی بوس…
🟡تحرکاتی در اطراف ایران به موازات گسیل میانجی و مذاکرات درحال رخدادن میباشد.
🔸یک کشتی درخلیج عمان درحال ارسال سیگنالهای رمز گذاری شده است که احتمالا اطلاعات مربوط به نیروهای ایرانی در تنگه هرمز را به نیروهای آمریکایی (سنتکام) مخابره میکند.
🔸همزمان باارسال سیگنالهای فوق ارتباطات رادیویی نیروی هوایی آمریکا در کشورهای حوزه خلیجفارس افزایش یافته است.
🔸این تحرکات ممکن است با هدف واقعی جلوه دادن تهدیدترامپ مبنی ب…
🔴 سناتور Fetterman هرچند از جناح چپ است، از ماجراجوییهای نظامی ترامپ حمایت میکند؛ البته تا زمانی که به زعم خودشان موفقیتآمیز باشد.
🔹 تشکر چند روز پیش نتانیاهو از او هم برای همین امر است؛ که برخلاف رویه حزب خود از ترامپ حمایت کرده. البته بازی کردن او با تلفن همراه خود، و با شلوارک و زیرشلواری عیان به دیدار سیاسی رفتن او، تعجب همه را برانگیخته بود.
🔹 در فیلم دیگر یک شهروند آمریکایی او را تنها در پارک گیر آورده؛ و…
🔴 این فیلم از سال ۱۹۹۵ است؛ که در آن بنگویر ۱۹ ساله (وزیر کنونی امنیت داخلی اسرائیل) مارک خودروی کادیلاک نخستوزیر آن دوران، اسحاق رابین، را دزدیده؛ و به او یادآوری میکند که «وقتی توانستیم آرم خودروی او را بکنیم، خود او را هم میتوانیم بکشیم.»
🔹 اسحاق رابین تنها نخستوزیری بود که دنبال یافتن راهحلی برای همزیستی مسالمتآمیز بین صهیونیستها و فلسطینیان رفت.
🔹 چند هفته بعد از ضبط این فیلم او را ترور کرده و کشتند. ح…
🟡درگیریهایی بین گروههای شبهنظامی رقیب در شهر سرمان، واقع در غرب لیبی، رخ داده است.
🔸ائتلاف «الفر»(STCD)، رقبای خود (گردان پنجم از تیپ 103 و نیروهای پشتیبانی و امنیتی) را از مرکز شهر سرمان(Surman) بیرون رانده و کنترل این بخش از شهر را بر روی جاده ساحلی حیاتی به دست گرفته است.
🔸این درگیریها منجر به فرار زندانیها از زندان شهر شده و صدها نفر از آفریقاییهای جنوب صحرا در شهر سرمان(Surman)و مناطق اطراف پراکنده شدها…
🔸اکنون گزارشهایی منتشرشده است مبنی براین که دونالد ترامپ، رئیسجمهور آمریکا، از توافق ایران با عمان حمایت میکند، توافقی که حاکمیت کامل ایران بر تنگه هرمز را به رسمیت میشناسد[2]./2
🔸واضحا دونالد ترامپ درتلاش است تا با نزدیک شدن انتخابات میان دورهای شرایطی را فراهم نماید تا دموکراتها موفق به کسب اکثریت آراء مجلس نمایندگان وسنا وشروع روند استیضاح وی نشوند.
🔸درهمین راستا فشاربرای پایان جنگ درغزه وخروج نیروهای آمری…
🟡پروفسور جان مرشایمر، استاد برجسته علوم سیاسی عنوان کرده است:/1
من در اینجا میخواهم استدلال کنم که اکنون زمان آن رسیده است که رئیسجمهور ترامپ این جنگ را به پایان برساند، به توافقی با ایرانیان برسد تا به این جنگ پایان دهد و در واقع، شکست را بپذیرد، به این معنا که ایران در این جنگ پیروز شده است و ما در این جنگ شکست خوردهایم.
🔸وی قبلا درباره زمان آماده بودن امتیازدادن ترامپ ومشاورینش اینگونه عنوان کرده بود[1]:
رهبر…
🟡جان مرشایمر عنوان کرده است:
«نه ایران و نه ایالات متحده تمایلی به جنگ با یکدیگر ندارند؛ این اسرائیل است که آنها را به سوی درگیری سوق میدهد.»
🔸واضحا اسرائیل ، ایران را بزرگترین مانع در مسیر تشکیل اسرائیل بزرگ از نیل تا فرات میبیند وسعی دارد که ایران وآمریکا در جنگی ویرانگر ، صدماتی جدی به یکدیگر وارد نمایند.
🔸اسرائیل به همان اندازه که نسبت به ایران حس دشمنی ونفرت دارد، به همان اندازه از آمریکا به عنوان نماد غرب…
🟡جنگهای ویرانگر در آفریقا، به دلیل تقابل غرب با شرق، در میدان نبرد آفریقا میباشد.
🔸تقابل آمریکا، نمادغرب، وچین به عنوان قدرت همتا و قدرت بزرگ شرق، در آفریقا شدت خواهد یافت.
🔸آمریکا پروکسیهای خود در آفریقا را با هدف تقابل با روسیه وچین تجهیز میکند. آمریکا تجهیز نیروهایRSF را به امارات متحده عربی واگذارنموده است.
🔸چین ومتحدانش نیز نیروهای مسلح سودان را تجهیزنموده تا توان قلع وقمع عناصر وپروکسیهای آمریکا را داشت…
🟡درپست[1]توضیح داده بودم که ژاپن دارای صنعت نظامی پیشرفتهای است.
🔸در صورت ورود ژاپن به بازار جهانی اسلحه (که با نخستوزیر جدید سانائه تاکایچی کاملاً محتمل است)، ژاپن بلافاصله وارد ده صادرکننده برتر جهان در زمینه تسلیحات و تجهیزات نظامی خواهد شد.
🔸همین موضوع بدون شک بین ژاپن و کمپانیهای تسلیحاتی آمریکایی که لابی قدرتمندی درآمریکا دارند تضاد منافع ایجاد خواهد کرد.
🔸همچنین گسترش نفوذ صنایع تسلیحاتی ژاپن دراین کشور،…
🔴 پست ذیل درباره «شواهد دست داشتن آمریکا در بحران ایجاد شده برای اسپانیا» است.
🔗https://t.me/zadolmosafer_en/6840
Showing the 11 most recent of 11 posts we hold for @WestAsiaGeopolitics. 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.
Citation-graph rank
Citation-graph rank — 328,472 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“West Asia Geopolitics” (@WestAsiaGeopolitics), 1,222 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/WestAsiaGeopolitics.
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.