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 88% 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.
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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 43 comparable posts for this entry, running 5 August 2026 to 6 November 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @SouWan — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
25 measurements spanning 94 days, net -108. 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 6,220–6,360 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
9 Nov 2026, 11:19
6,236
-6
5 Nov 2026, 19:37
6,242
-2
2 Nov 2026, 22:06
6,244
-4
31 Oct 2026, 02:58
6,248
-6
28 Oct 2026, 10:09
6,254
+2
25 Oct 2026, 20:30
6,252
-6
19 Oct 2026, 03:20
6,258
+2
15 Oct 2026, 16:56
6,256
-5
13 Oct 2026, 00:00
6,261
-4
6 Oct 2026, 17:57
6,265
-9
30 Sept 2026, 05:16
6,274
-15
19 Sept 2026, 16:37
6,289
-7
15 Sept 2026, 02:42
6,296
-6
11 Sept 2026, 19:19
6,302
-1
6 Sept 2026, 20:56
6,303
-1
1 Sept 2026, 22:07
6,304
-4
30 Aug 2026, 04:14
6,308
-8
26 Aug 2026, 19:03
6,316
-4
23 Aug 2026, 15:14
6,320
-1
20 Aug 2026, 06:35
6,321
first reading
Engagement
58 posts held, back to 4 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.75%
avg views ÷ 6,236 subscribers
Avg views / post
234
26 posts measured
Reaction rate
5.01%
reactions ÷ views · ER floor
Posts in window
26
of 58 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 6 November 2026
Posts held
58 (4 August 2026 – 6 November 2026)
Views total
6,085
Reactions total
305
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 15:56 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
27m 04s
Average length
58s
Measured directly from 28 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.
Reaction mix
998 reactions across 58 posts, in 21 distinct kinds. The most used accounts for 20.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤬
206
20.6%
🔥
188
18.8%
❤
123
12.3%
💔
69
6.91%
😡
66
6.61%
🎉
52
5.21%
💯
50
5.01%
🤩
44
4.41%
🤯
40
4.01%
😍
30
3.01%
🫡
28
2.81%
😢
23
2.30%
🥰
23
2.30%
👍
22
2.20%
👌
10
1.00%
😭
8
0.802%
⚡
6
0.601%
👏
6
0.601%
👀
2
0.2%
👎
1
0.1%
1 further kind
1
0.1%
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 58 of the 58 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 998 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 4 August 2026 to 6 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 26 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).
A horrific massacre! Three Saudi airstrikes targeted the crowded Al-Hadara Market in Yemen’s Al-Wazi’iyah District during its busiest time this morning, leaving more than 30 civilians martyred or wounded, according to an initial toll. Search teams are still looking for missing people.
Yemeni Armed Forces Spokesman Brigadier General Yahya Saree:
Our armed forces, thanks to God, carried out an operation targeting King Fahd International Airport in Dammam using a drone. The operation successfully achieved its objective and resulted in the disruption of air traffic at the airport.
Yemeni Armed Forces Spokesman Brigadier General Yahya Saree:
Over the past 24 hours, Saudi warplanes carried out 61 airstrikes targeting civilian sites in the capital, Sana’a, and the governorates of Al-Jawf, Taiz, Saada, Marib, Lahj, Al-Dhale, Ibb, Al-Hudaydah, and Hajjah, using F-15 and Typhoon aircraft. The attacks resulted in several massacres and left dozens of civilian martyrs and wounded, most of them women a…
Yemeni Military Media:
High-quality footage showing attacks on Saudi enemy troop concentrations and the destruction of their vehicles east of the Al-Jawf Governorate using “Shawaz” attack drones - November 5, 2026.
Yemeni Military Media:
Footage of the wreckage of an armed Wing Loong II reconnaissance drone belonging to the Saudi enemy, which was shot down in the skies over Taiz Governorate - November 4, 2026.
Photojournalist Kamal Younes was injured in the israeli drone attack targeting a motorcycle in Qabrikha while carrying out his journalistic duty of documenting the israeli enemy’s violations in southern Lebanon.
Yemeni Armed Forces Spokesman Brigadier General Yahya Saree announced the following operations so far today:
- Our armed forces, thanks to God, successfully shot down an armed Wing Loong II reconnaissance drone belonging to the Saudi enemy, the tenth of its kind since the beginning of the escalation. The drone was carrying out hostile activities in the skies over Taiz Governorate at dawn today. It was brought down u…
In a new escalation in southern Lebanon today, Al-Risala Scout paramedic Naser Mohammad Younes was martyred in an israeli drone strike targeting a motorcycle in Qabrikha. Another person was wounded in the attack!
Yemeni Armed Forces Spokesman Brigadier General Yahya Saree statements:
- Our armed forces, thanks to God, successfully targeted Saudi enemy troop concentrations in the areas of Ras al-Ara and Al-Mudharabah, which are under the command of Saudi officer Badr al-Harbi, with several ballistic missiles. The strikes were accurate, thanks to God, and resulted in dozens of people killed and wounded, including commanders.
…
👍5🔥4😍4⚡2❤2🤩1
Showing the 12 most recent of 58 posts we hold for @SouWan. 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 1 registered channel — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
AlHaq News | Iran-US War Updates @AlHaqNews · 32,860 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 5 September 2026
JHArnous @jharnous · 26,310 Telegram ranks this channel #4 of 74 here — alongside 73 others — read 11 September 2026
Enemy Watch — Official @enemywatch · 28,887 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 8 September 2026
ResistanceTrench mirror @RezistanceTrench · 42,659 Telegram ranks this channel #11 of 76 here — alongside 75 others — read 29 August 2026
Fotros Resistance @FotrosResistancee · 68,341 Telegram ranks this channel #13 of 80 here — alongside 79 others — read 20 August 2026
"israel" is a War Criminal 🇵🇸 @wc_israel · 21,048 Telegram ranks this channel #14 of 72 here — alongside 71 others — read 24 September 2026
WarFront Witness @wfwitness · 80,567 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 18 August 2026
Middle East Observer @me_observer_TG · 38,566 Telegram ranks this channel #16 of 79 here — alongside 78 others — read 31 August 2026
Lebanese News and Updates @LebUpdate · 75,734 Telegram ranks this channel #22 of 80 here — alongside 79 others — read 19 August 2026
Shaun King @ShaunKingChannel · 51,748 Telegram ranks this channel #23 of 72 here — alongside 71 others — read 31 August 2026
Mediterranean Man @medmannews · 76,608 Telegram ranks this channel #23 of 81 here — alongside 80 others — read 19 August 2026
Press TV @presstv · 92,650 Telegram ranks this channel #23 of 81 here — alongside 80 others — read 16 August 2026
Stay Free @stayfreeworld · 40,750 Telegram ranks this channel #24 of 79 here — alongside 78 others — read 29 August 2026
The Cradle @thecradlemedia · 55,615 Telegram ranks this channel #24 of 79 here — alongside 78 others — read 23 August 2026
Quds News Network @QudsNen · 111,628 Telegram ranks this channel #24 of 76 here — alongside 75 others — read 14 August 2026
Middle East Spectator — MES @middle_east_spectator · 396,815 Telegram ranks this channel #24 of 84 here — alongside 83 others — read 10 August 2026
Vanessa Beeley @VanessaBeeley · 21,721 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 22 September 2026
Geopolitics Watch @GeoPWatch · 79,887 Telegram ranks this channel #28 of 80 here — alongside 79 others — read 18 August 2026
Rerum Novarum // Intel, Breaking News, and Alerts 🇺🇸 @rnintel · 160,511 Telegram ranks this channel #33 of 81 here — alongside 80 others — read 12 August 2026
Megatron @megatron_ron · 75,792 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 19 August 2026
IRNA News Agency 🇮🇷 @Irna_en · 25,843 Telegram ranks this channel #35 of 78 here — alongside 77 others — read 13 September 2026
WarfareAnalysis News 🔻 @WarfareAnalysis · 31,101 Telegram ranks this channel #38 of 72 here — alongside 71 others — read 5 September 2026
Middle East Eye @MiddleEastEye_TG · 56,973 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 23 August 2026
War Monitor @warmonitors · 149,719 Telegram ranks this channel #50 of 82 here — alongside 81 others — read 12 August 2026
This channel appears in 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Sou Wan” (@SouWan), 6,236 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/SouWan.
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.