Other / unclassifiable — 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 96% 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 3 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. 6 of the 6 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 12 comparable posts for this entry, running 20 July 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 4, the earliest publisher we hold is @nnKnn — 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 8 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 3 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.
9 measurements spanning 6 days, net -6,322. 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 1,328,568–1,342,434 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:03
1,334,512
-3,483
11 Aug 2026, 22:56
1,337,995
+7,827
10 Aug 2026, 19:44
1,330,168
-2,480
9 Aug 2026, 21:57
1,332,648
-2,465
8 Aug 2026, 23:56
1,335,113
-2,613
8 Aug 2026, 01:15
1,337,726
-1,992
7 Aug 2026, 03:04
1,339,718
-1,116
6 Aug 2026, 16:40
1,340,834
no change
6 Aug 2026, 16:39
1,340,834
first reading
Engagement
969 posts held, back to 26 June 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.182%
avg views ÷ 1,334,512 subscribers
Avg views / post
2,420
957 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
957
of 969 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. It is computed over the 1 of 957 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 August 2026
Posts held
969 (26 June 2026 – 13 August 2026)
Views total
2,318,313
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 00:50 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.
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 939 of this channel’s own posts over the last 30 days: across 11of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 37 hours of being posted; a typical post has already reached 6.43% of its 24-hour view count within the first hour, and 29.4% within the first six; the median 24-hour reach across those posts is 8,400 views — 0.629% of this channel’s own subscriber count (90th percentile 10,800).
8 most recently posted, with a view-velocity reading
20 minutesprovisional — 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 viewsis 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
2
of 969 we hold a reading for · 0.2%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nnKnn. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 969 most recent posts we hold for this entry, published 26 June 2026 to 13 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Showing the 12 most recent of 969 posts we hold for @nnKnn. 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 — 112,070 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 3 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
2
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@nnKnn named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@iieee7 named in 8 posts, 8 August 2026 – 9 August 2026 · confirmed gone 12 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@mx_x3330 named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 7 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
أبيات فصحى ، قصائد حب ، غزل 🤎، @szszs2 · 153,570 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 12 August 2026
اغاني صور افتارات بنات . @NNNZN · 1,185,827 Telegram ranks this channel #1 of 49 here — alongside 48 others — read 8 August 2026
ᓭི༏ᓯྀ عبارات اقتباسات ستوريات @NlNNN · 2,072,251 Telegram ranks this channel #1 of 56 here — alongside 55 others — read 8 August 2026
بس هيَ ♥️. @Uuu2X · 175,632 Telegram ranks this channel #3 of 50 here — alongside 49 others — read 12 August 2026
اقتباسات اغاني حب عبارات كروبات دردشة @EN_QE · 845,757 Telegram ranks this channel #4 of 63 here — alongside 62 others — read 8 August 2026
VJ plus - VJPlus . @vjplusbott_saveoffbot · 248,597 Telegram ranks this channel #5 of 58 here — alongside 57 others — read 12 August 2026
اقتباسات ستوريات مَشـَاعر • @YYYYD · 1,713,531 Telegram ranks this channel #5 of 57 here — alongside 56 others — read 8 August 2026
تصريفات @z12zxi · 237,862 Telegram ranks this channel #6 of 64 here — alongside 63 others — read 11 August 2026
افتارات اغاني كروبات عاشكها @PPPPJ · 2,362,428 Telegram ranks this channel #6 of 59 here — alongside 58 others — read 8 August 2026
- كتابات دوستويفسكي ، اقتباسات حب ، خواطر . @zrzzzz · 1,363,781 Telegram ranks this channel #8 of 56 here — alongside 55 others — read 8 August 2026
اخبار العراق - Iraq News @Iraq_now3 · 565,451 Telegram ranks this channel #13 of 62 here — alongside 61 others — read 9 August 2026
خلفيات اشعار صور بنات رمزيات @zzuzz · 873,089 Telegram ranks this channel #14 of 52 here — alongside 51 others — read 8 August 2026
اشعار اغاني صور بنات خلفيات @en_wk · 1,024,669 Telegram ranks this channel #14 of 62 here — alongside 61 others — read 8 August 2026
اقتباسات حب ، عبارات حزينه ، ستوريات 🖤 . @zzzzzz · 1,630,382 Telegram ranks this channel #14 of 52 here — alongside 51 others — read 8 August 2026
استوريات اكروبات صور بنات حب @zz7zz · 495,882 Telegram ranks this channel #17 of 53 here — alongside 52 others — read 11 August 2026
القمة وظائف فرص عمل مندوبين @KK_211 · 157,252 Telegram ranks this channel #19 of 68 here — alongside 67 others — read 12 August 2026
𝗡𝘂𝗿𝘁𝘂𝗿𝗶𝘆 Ϯ🦇. @bbgbb · 187,609 Telegram ranks this channel #20 of 61 here — alongside 60 others — read 11 August 2026
شبكة أبن الغربية ألتعليمية @ET_ETu · 243,326 Telegram ranks this channel #21 of 70 here — alongside 69 others — read 11 August 2026
اقتباسات ، عبارات ، كلام حب، خواطر @PVVVV · 811,342 Telegram ranks this channel #29 of 66 here — alongside 65 others — read 8 August 2026
اختصارات❤زخرفه❤اسماء❤بوت❤زغرفه @yh_u5 · 224,724 Telegram ranks this channel #30 of 55 here — alongside 54 others — read 11 August 2026
الظافر نيوز - AlDHAFIR @althafer313 · 431,055 Telegram ranks this channel #36 of 71 here — alongside 70 others — read 12 August 2026
قناه اشعار غزل شعر حزينه حب @PP_25 · 153,691 Telegram ranks this channel #37 of 64 here — alongside 63 others — read 12 August 2026
منصة ابن بابل @iraqed4 · 3,476,934 Telegram ranks this channel #45 of 63 here — alongside 62 others — read 8 August 2026
ادعيه،اذكار،خواطر،القرآن الكريم. @EO_30 · 195,743 Telegram ranks this channel #55 of 79 here — alongside 78 others — read 11 August 2026
This channel appears in 29 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“- أبيات عبارات فصحىَ” (@nnKnn), 1,334,512 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nnKnn.
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.
