Other / unclassifiable โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% confidence. This is a modelโs 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 โ 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 2 other registered channels. This entry also sits inside a group of 10 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 Telegramโs forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts โ 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 โ 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. 2 of the 2 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.
โPublished firstโ means first in this corpus. We hold 125 comparable posts for this entry, running 23 May 2026 to 9 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 detectorโs 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 10 channels, the one whose matching posts we hold earliest is @ShapeGemes. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entryโs content came from. It 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 โ 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 10 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. โFirstโ could only mean first in our own crawl, which depends on how deep we happened to reach into each channelโs 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 โForwarded fromโ 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 โ a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ and this measurement cannot tell those apart. How this is measured.
58 measurements spanning 92 days, net +514. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 16,845โ17,513 and does not start at zero.
Measurement log โ every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
8 Nov 2026, 23:59
17,436
+8
7 Nov 2026, 16:00
17,428
-1
6 Nov 2026, 13:59
17,429
-3
5 Nov 2026, 10:47
17,432
+9
4 Nov 2026, 10:16
17,423
+2
3 Nov 2026, 10:59
17,421
+2
2 Nov 2026, 10:46
17,419
-7
1 Nov 2026, 08:29
17,426
+8
30 Oct 2026, 09:46
17,418
+12
29 Oct 2026, 09:49
17,406
-8
28 Oct 2026, 05:35
17,414
+11
27 Oct 2026, 02:19
17,403
+14
26 Oct 2026, 04:55
17,389
+10
25 Oct 2026, 01:38
17,379
+2
24 Oct 2026, 04:28
17,377
+14
23 Oct 2026, 02:28
17,363
-2
22 Oct 2026, 04:36
17,365
+2
20 Oct 2026, 23:19
17,363
+3
20 Oct 2026, 00:34
17,360
-6
18 Oct 2026, 23:45
17,366
first reading
Engagement
165 posts held, back to 23 May 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 66 pages of Telegramโs post history, 20 posts per page.
ERR ยท 30 days
2.61%
avg views รท 17,436 subscribers
Avg views / post
455
41 posts measured
Reaction rate
1.08%
reactions รท views ยท ER floor
Posts in window
41
of 165 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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 4 of 41 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days ยท latest post in window 11 November 2026
Posts held
165 (23 May 2026 โ 11 November 2026)
Views total
18,668
Reactions total
8
Forwards / comments
not exposed by the public surface โ not measured, not estimated
Readings taken
11 Nov 2026, 16:45 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
59
Videos
2
Links
12
Lifetime counters from Telegramโs own channel header, read 11 November 2026 โ not the date at the top of this page, which is when the subscriber count was last read. Below Telegramโs rounding threshold, so these counts are exact.
Video runtime
16m 11s
Average length
40s
Measured directly from 24 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
Reaction mix
565 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 43.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
๐
245
43.4%
โก
99
17.5%
๐
91
16.1%
๐
75
13.3%
๐
55
9.73%
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 19 of the 165 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 565 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 165 most recent posts we hold, published 23 May 2026 to 11 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
2
of 163 we hold a reading for ยท 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars โ bought with money โ on a post by @kidodu. 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 165 most recent posts we hold for this entry, published 23 May 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegramโs short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegramโs own โeditedโ marker: 0 of 41 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 โ 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).
hi? i miss you, mbull how have you been? udah lama banget aku ngga denger kabar dari kamu, kemana aja nih? semoga kamu selalu baik-baik aja, ya. BTW, kalau kamu lagi nyari moodboard, story puzzle, storyboard, atau pf needs lainnya, boleh banget mampir ke store @Shanmoree mbull. harganya start 500p aja dan tentunya bisa custom. apa kamu penasaran sama hasilnya mbull? cek di sini ya mbull sayang @Shanmoreepretty. kalโฆ
helo guys. kita mau ngabarin kalau ternyata kitaa udah gabisa handle channel ini lagi, karena adminnya yang mabok moodboard/stdeco dari @shanmoree. BENERAN, aaaku naksir bangeet samaa moodboard dari @shanmoree. KETAGIHAN BANGET ASLI. BENERAN ๐ง๐ปโโ๏ธ๐ง๐ปโโ๏ธ๐ง๐ปโโ๏ธ๐ง๐ปโโ๏ธ๐ง๐ปโโ๏ธ. udahlaaah, tunggu apalaaagi gaaas jajaann bubbb di @shanmoree dijamin hidup oke, mut juga okeeee. ๐
profil lu pada masih sepi? waktunya cakepin bray! ๐คฉ๐คฉ๐คฉ๐คฉ
mau moodboard cakep, story puzzle full deco, sampe wording yang bikin profil lu makin niat & kece? sini merapat, harga di @Shanmoree kagak bikin dompet lu pada nangis
๐ moodboard basic โ 500p
๐ moodboard full deco โ 2k
๐ stp 9s full deco โ 7โ9k
๐ storyboard
basic โ 800p/slide
medium โ 1.800p/slide
full deco โ 2.500p/slide
๐ loveboard โ start 2k/slide
๐ manipsโฆ
Halo kak selamat (..), usn kamu ufs ngga yya? kalau iya, boleh hint pricenya ngga ya biar aku siapin budget nih. Eh tapi kayaknya mending aku siapin budget buat ikut classnya @Howtodothatt ngga sih? masa class segini lengkapnya cuma 12.000? mana updatenya rutin setiap minggu! udah ah, aku mau join ke class ini aja. Materinya juga ngga itu-itu aja, bye kak!
Kak orderan aku kapan selesainya ya? udah seminggu loh ini, sampai berlumut deh aku! Kalau gini sih, aku mendingan belajar profneeds aja ah di @Howtodothatt, modal 12.000 udah bisa belajar di 4 aplikasi berbeda! Fuyooo. Gas lah, ikut aku kak, sama-sama join classnya @Howtodothatt!
Eh gua ngga suka banget ya kalau misal lu ngga join class di @Howtodothatt! sebel banget deh. Pokoknya buruan join, soalnya cuma 12.000 loh ya dan lu udah bisa dapetin fasilitas kayak gini?! Buruan lah join! gua tungguin nih.
Halo guys, gua lagi hiring orang buat yang mau join class dengan harga 12.000 ini ๐คฏ๐ตโ๐ซ langsung aja kepoin channelnya di ๐คฏ๐ @HOWTODOTHATT yuk keburu harganya semakin naik ๐๐ฉตโ๐ป. Thank you guys!
ใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ คใ ค
ใ คใ คโ YOUR PROFILE NEEDS CLASS! โ
ใ คupgrade your skill editing and protofolio
ใ คใ คใ คใ คonly in @Howtodothatt! ๐ชฒ๐ฉท.
(a). LEARN MORE THAN ONE APPS EDIT.
(b). BENEFIT CLASS FROM HOW TO DO THAT.
(c). WHAT THEY SAY ABOUT US?!
ใ คใ คPRICE ONLY 12.000, GRAB IT FAST!
ใ คใ ค๐ถ๐ท. REGISTRATION FORM.
ใ คใ ค๐ถ๐ธ. CLASS REGULATION.
ใ คใ ค๐ถ๐น. CONTACT PERSON.
GRAB IT FAST DARLING! SEE YOU IN THE CLASS! WITH LOVE, Hโฆ
Showing the 12 most recent of 165 posts we hold for @kidodu. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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 82 registered channels โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs owner would misattribute it. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
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 โ 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 โ the โNamed by N registered channelsโ 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
1
handles named in this channelโs posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@kidodu named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handleโs history โ 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 โ not that anything โdiedโ. How this is measured.
Never seen alive
References a handle that is not a live channel โ we have no record it ever was one.
@mochivve named in 1 post, 4 September 2026 โ 4 September 2026
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 8 November 2026 โ this
entry's latest reading, not the date you are reading this.
โKIDODU-MAILS. ๐ฐโ (@kidodu), 17,436 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/kidodu.
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 ยท 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.