Education — 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 100% 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 (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. None of the 5 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 11 comparable posts for this entry, running 6 May 2026 to 6 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 @salam_international_school. 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 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.
3 measurements taken within a single day, net +1. 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 438–439 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 22:12
439
+1
7 Aug 2026, 06:46
438
no change
7 Aug 2026, 06:33
438
first reading
Engagement
11 posts held, back to 6 May 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
60.7%
avg views ÷ 439 subscribers
Avg views / post
267
6 posts measured
Reaction rate
2.07%
reactions ÷ views · ER floor
Posts in window
6
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. It is computed over the 5 of 6 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 6 August 2026
Posts held
11 (6 May 2026 – 6 August 2026)
Views total
1,599
Reactions total
28
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 06:46 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.
Reaction mix
99 reactions across 10 posts, in 14 distinct kinds. The most used accounts for 55.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
55
55.6%
👍
21
21.2%
custom 5449442513616121857
5
5.05%
💯
4
4.04%
😍
3
3.03%
🤣
3
3.03%
🆒
1
1.01%
🍓
1
1.01%
🎉
1
1.01%
👏
1
1.01%
🔥
1
1.01%
🙏
1
1.01%
🤔
1
1.01%
🥰
1
1.01%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 10 of the 11 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 99reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 6 May 2026 to 6 August 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
2
across the posts below
Posts paid on
2
of 11 we hold a reading for · 18%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Salamschool_Yangihayot. 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 11 most recent posts we hold for this entry, published 6 May 2026 to 6 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.
🌍 Salam International School o‘quvchilari xalqaro maydonda! 🇨🇳
Bugundan boshlab Salam International School o‘quvchilari Xitoyning Shanxay shahrida bo‘lib o‘tayotgan World Scholar’s Cup – Global Round 2026 musobaqasida yurtimiz sharafini munosib himoya qilishni boshladi.
🏆 Dunyoning 30 dan ortiq davlatidan kelgan eng iqtidorli o‘quvchilar ishtirok etayotgan ushbu nufuzli xalqaro musobaqaning bugun 1-kuni bo‘lib o‘td…
📍 1-avgust kuni Chorsu filialimizda bo’lib o’tgan tadbirdan lavhalar.
Salam International School’ning Chorsu filialida o’tkazilgan tadbirda ishtirok etgan barcha ota-onalar va mehmonlarga samimiy minnatdorchilik bildiramiz.
Bu kun davomida mehmonlar maktabimizning to’liq yangilangan binosi, zamonaviy ta’lim muhiti va o’quv jarayonlari bilan yaqindan tanishishdi.
✨ Maktabimiz zamonaviy ko’rinishda renovatsiya qilin…
🎓 Farzandga bilim berish muhim. Ammo uni ilmga mehr qo'yadigan qilib tarbiyalash undan ham muhimroq.
Farzand nima uchun o'qishni sevadi?
Uni kitobga, izlanishga va bilim olishga qanday qiziqtirish mumkin?
📍 9-avgust kuni Salam International School'ning Yangihayot filialida bo'lib o'tadigan uchrashuvda ushbu mavzu yuzasidan Rahimberdi domla Rahmonov bilan ochiq suhbat tashkil etiladi.
Bu uchrashuvda siz:
📚 Farzand…
🏫 Farzandingiz uchun maktab tanlash oldidan uni o’z ko’zingiz bilan ko’ring!
Kitoblardan ko’ra muhit, reklamalardan ko’ra amaliy tajriba ko’proq ishonch beradi.
Shu sababli sizni Salam International School’ning Ochiq eshiklar kuniga taklif qilamiz!
📅 9-avgust
🕙 Soat 10:00
📍 Yangihayot filiali
Bu yerda siz:
✅ Dars jarayonlarini kuzatasiz
✅ Zamonaviy sinfxonalar bilan tanishasiz
✅ Ustozlar bilan suhbatlashasiz
✅ Ma…
Maktab tanlashda faqat dars sifatiga emas, farzandingiz kun bo'yi qanday muhitda bo'lishiga ham e'tibor bering.
Salam International School'da ta'lim bilan bir qatorda o'quvchilarning xavfsizligi va sog'lig'iga ham alohida e'tibor qaratiladi.
📚 Cambridge ta'lim tizimi
🎯 IELTS va SAT tayyorlov dasturlari
🩺 Darmon Servis bilan hamkorlikdagi tibbiy nazorat
🔒 Xavfsiz va yopiq hudud
Farzandingiz uchun eng to'g'ri tanlov…
🏆 1,5 MILLIARD SO‘MLIK TA’LIM GRANTI UCHUN IMTIHON
Farzandingizning bilimi katta imkoniyatlarga eshik ochishi mumkin!
Salam International School tomonidan 5–11-sinf o‘quvchilari uchun 1,5 milliard so‘mlik ta’lim granti imtihoni tashkil etiladi. Har bir ishtirokchi o‘z bilimi bilan grantni qo‘lga kiritish imkoniga ega.
📍 8-avgust — Chorsu filiali
📍 16-avgust — Yangihayot filiali
🎓 Imtihon faqat 5–11-sinf o‘quvchil…
4-“A” va 4-“B” sinf o‘quvchilari bu yil boshlang‘ich ta’limni muvaffaqiyatli tamomlashdi 🌟
Bitiruv kechasida o‘quvchilar o‘zlarining go‘zal chiqishlari, quvnoq raqslari va ta’sirli she’rlari bilan ota-onalar, ustozlar va murabbiylarga unutilmas kayfiyat ulashishdi 💫
Tadbir davomida faol va namunali o‘quvchilar taqdirlanib, ularning yutuqlari e’tirof etildi. Bu kecha bolajonlarimizning ilk katta qadami, yorqin xotir…
Bir soniya to‘xtang va farzandingizga boqing...
Uning sevimli rangi, u yaxshi ko‘rgan kitob va u orzu qilayotgan katta dunyo. Biz farzandlarimizni shunchaki tarbiyalamaymiz, biz ularning xarakterini, qadriyatlarini va kelajakdagi shaxsiyatini shakllantiramiz. Ona va bola o‘rtasidagi bunday samimiy suhbatlar esa — kelajakdagi katta yutuqlarning poydevoridir.
Salam International School — har bir bolaning o‘ziga xosli…
Salam International School’da o‘quvchilarning bilimlari, harakatlari va erishgan yutuqlari munosabati bilan taqdirlash marosimi bo‘lib o‘tdi ✨
O‘quvchilarga o‘quv jarayonidagi faolligi, intilishi va erishgan natijalari uchun sertifikatlar topshirildi. Har bir taqdirlangan o‘quvchi samimiy olqishlar va iliq qo‘llab-quvvatlash bilan kutib olindi 🎓
Bu kabi e’tiroflar o‘quvchilarni yanada katta maqsadlar sari ilhomlant…
Rasulxon Qodirxonov — taniqli o‘zbek aktyori va san’atkori hamda Salam International School ota-onalaridan biri sifatida maktabimiz va farzandi ta’lim olayotgan muhit haqidagi taassurotlari bilan bo‘lishdi ✨
Suhbat davomida nafaqat sifatli ta’lim, balki to‘g‘ri muhit, bolalarga bo‘lgan munosabat va maktabdagi ichki atmosferaning ham muhimligini alohida ta’kidladilar.
Biz uchun ayniqsa bolalarning maktabga ishtiyoq …
Sizning farzandingiz necha tilda so‘zlashishini xohlaysiz? 🌍
"Salam International School"da biz tillarni shunchaki o‘rgatmaymiz, biz ularda yashashni o‘rgatamiz! O‘quvchilarimiz o‘zbek, rus va ingliz tillarida erkin muloqot qilib, dunyo darvozalari sari ilk qadamlarini tashlashmoqda. 🚀
Ko‘p tillilik — bu shunchaki bilim emas, bu kengroq dunyoqarash va yorqin kelajak demakdir.
📞 +99878-707-87-87
👩💻 @Salamschooladmin…
custom 54494425136161218575❤2🍓1👏1🥰1🆒1
Showing the 11 most recent of 11 posts we hold for @Salamschool_Yangihayot. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 344,752 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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s 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
@Salamschool_Yangihayot named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@salamschooladmin named in 4 posts, 8 August 2026 – 8 August 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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“"Salam-school" Yangihayot” (@Salamschool_Yangihayot), 439 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/Salamschool_Yangihayot.
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.