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 61% 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 4 other registered channels. This entry also sits inside a group of 5 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. 1 of the 1 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 377 comparable posts for this entry, running 31 July 2026 to 14 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 5 channels, the one whose matching posts we hold earliest is @nsfla_uz. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 15 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 5 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.
67 measurements spanning 100 days, net +43,342. 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 178,026–238,960 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 67
Measured (UTC)
Subscribers
Change
13 Nov 2026, 20:31
228,608
+479
11 Nov 2026, 01:45
228,129
-457
9 Nov 2026, 08:54
228,586
-602
7 Nov 2026, 20:46
229,188
-647
6 Nov 2026, 16:09
229,835
-240
5 Nov 2026, 17:59
230,075
-463
4 Nov 2026, 17:06
230,538
-164
3 Nov 2026, 17:18
230,702
-496
2 Nov 2026, 15:06
231,198
-233
1 Nov 2026, 14:47
231,431
-175
31 Oct 2026, 18:20
231,606
-323
30 Oct 2026, 17:10
231,929
+470
29 Oct 2026, 18:28
231,459
+1,168
28 Oct 2026, 20:45
230,291
-191
27 Oct 2026, 21:06
230,482
+153
26 Oct 2026, 23:06
230,329
-336
25 Oct 2026, 20:46
230,665
-311
24 Oct 2026, 19:07
230,976
+1,018
23 Oct 2026, 18:08
229,958
+1,163
22 Oct 2026, 20:55
228,795
first reading
Engagement
392 posts held, back to 31 July 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 207 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.1%
avg views ÷ 228,608 subscribers
Avg views / post
61,900
100 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
100
of 392 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 33 of 100 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 14 November 2026
Posts held
392 (31 July 2026 – 14 November 2026)
Views total
6,188,000
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 05:13 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
Photos
≈7,330
Videos
≈940
Links
≈5,750
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2h 57m
Average length
3m 06s
Measured directly from 57 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.
Telegram Stars
Stars received
316
across the posts below
Posts paid on
74
of 385 we hold a reading for · 19%
Most on one post
71
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BaholashUz. 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 392 most recent posts we hold for this entry, published 31 July 2026 to 14 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 100 posts held from the last 30 days (4.00%) 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).
📣 Maqsadli davlat granti kvotalari bo‘yicha o‘tkazilgan imtihon natijalari e’lon qilindi
📝 O‘zbekiston Respublikasida faoliyat yuritayotgan xorijiy oliy ta’lim tashkilotlarining filiallari hamda nodavlat oliy ta’lim tashkilotlariga ajratilgan maqsadli davlat granti kvotalarini taqsimlash uchun o‘tkazilgan test sinovlari natijalari e’lon qilindi.
🌎 Test sinovlarida ishtirok etgan talabgorlar o‘z natijalarini my.uzbm…
2027-yilgi Davlat byudjeti: asosiy e’tibor — xalq farovonligi va iqtisodiy o‘sish
Prezident Administratsiyasi rahbari Saida Mirziyoyeva davlatimiz rahbari Shavkat Mirziyoyev huzurida o‘tgan 2027-yilgi Davlat byudjeti muhokamasi yuzasidan o‘z fikrlarini bildirdi.
S. Mirziyoyevaning taʼkidlashicha, kelgusi yilgi byudjetning eng muhim yo‘nalishlari:
Soliqlar oshmaydi: asosiy soliq stavkalari o‘zgarishsiz qoladi.
…
#MaktabTaʼlim #Sörovnoma
Hurmatli yurtdoshlar!
Ta’lim va ilm-fan vazirligi tomonidan maktab öquvçilarining bilimini tekşiriş va imtihon olişning yangi tartibi işlab çiqilmoqda.
Sizlardan mazkur tartib böyiça tayyorlangan anonim sörovnomada iştirok etib, öz fikrlaringizni bildirişingizni söraymiz.
👉 Sörovnomada iştirok etiş
Facebook | Instagram | YouTube | Telegram
#Chet_tili
Nogironligi bor talabgorlar uchun chet tili imtihonlari
📆 2026-yil 13-noyabr kuni Bilimni baholash agentligi tomonidan imkoniyati cheklangan talabgorlar uchun chet tilini bilish darajasini aniqlash malaka imtihonlari bo‘lib o‘tdi.
🇺🇿 Imtihonlar talabgorlar uchun qulaylik yaratish maqsadida respublikamizning barcha hududlarida va Toshkent shahrida tashkil etildi.
🧑💻 Imkoniyati cheklangan talabgorlar uc…
📣 DIQQAT E’LON!
Dekabr oyi uchun chet tilini bilish darajasini aniqlash imtihonlariga ro‘yxatga olish boshlandi
✍️ Bilim va malakalarni baholash agentligi dekabr oyida o‘tkaziladigan chet tilini bilish darajasini aniqlash imtihonlari uchun talabgorlarni ro‘yxatga olish boshlanganligini ma’lum qiladi.
🆔 Ro‘yxatdan o‘tish manzili: talabgorlar Yagona interaktiv davlat xizmatlari portali – my.gov.uz sayti orqali onlay…
#OnlaynTest
QABUL IMTIHONLARI MUVAFFAQIYATLI DAVOM ETMOQDA
📆 2026-yil 11-12-noyabr kunlari respublikamizdagi oliy ta’lim tashkilotlari hamda xorijiy hamkor oliy ta’lim muassasalarining qo‘shma ta’lim dasturlariga qabulning ikkinchi bosqichi doirasida chet tillari bo‘yicha navbatdagi kirish imtihonlari bo‘lib o‘tdi.
📍 Test sinovlari quyidagi hududlarda tashkil etildi:
🟢Buxoro viloyati (Buxoro davlat tibbiyot inst…
#OnlaynTest
XORIJIY DIPLOMLARNI NOSTRIFIKATSIYALASH (TAN OLISH) BO‘YICHA
📆 Bugun xorijiy davlatlarda oliy ta’lim olganlik to‘g‘risidagi hujjatlarni tan olish (nostrifikatsiya qilish) imtihonlari bo‘lib o‘tdi.
📍 Imtihonlar agentlikning respublikadagi barcha hududiy bo‘limlari binolarida va Toshkent shahrida tashkil etildi. Bu talabgorlarga o‘z yashash hududlariga yaqin joyda, eng zamonaviy infratuzilmaga ega va qu…
#Prezident_tashrifi
Prezident Shavkat Mirziyoyevning BMT Iqlim o‘zgarishi bo‘yicha Hadli konvensiyasi tomonlari konferensiyasining 31-sessiyasida (COP31) so‘zlagan nutqidan asosiy fikrlar:
📌O‘zbekiston iqlim o‘zgarishiga qarshi kurashish bo‘yicha global sa’y-harakatlarni izchil qo‘llab-quvvatlab kelmoqda. Yangi taraqqiyot modelini “yashil” texnologiyalar asosida, tabiiy resurslardan oqilona foydalangan holda qurmo…
#Qonunchilikdagi_yangiliklar
Inson qadri va aholi farovonligi yuksaltiriladi
Prezidentning 2026-yil, 10-noyabrda “Inson qadrini yuksaltirishga qaratilgan milliy dasturlarni amalga oshirish chora-tadbirlari to‘g‘risida”gi PF–242-son Farmoni qabul qilindi.
✍️ Farmonga ko‘ra, quyidagilar Milliy dasturlarni amalga oshirishning asosiy maqsadlari etib belgilandi, jumladan:
✅ bilim va malakani taraqqiyotning asosiy kap…
Prezident Shavkat Mirziyoyev iqlim bo‘yicha global sammitda nutq so‘zladi.
—
Президент Шавкат Мирзиёев выступил с речью на глобальном климатическом саммите.
Prezident.uz|Facebook|Instagram|YouTube|X
DXX akademiyasiga nomzodlarni saralash test sinovi natijalari
📝 2026-yil 7-noyabr kuni o‘tkazilgan Amir Temur nomidagi O‘zbekiston Respublikasi Davlat xavfsizlik xizmati akademiyasiga nomzodlarni saralash test sinovi natijalari e’lon qilindi.
👨💻 Test sinovida ishtirok etgan nomzodlar o‘z natijalarini Bilimni baholash agentligining my.uzbmb.uz saytida "Davlat xavfsizlik xizmati akademiyasi" bo‘limidan ko‘rishlari m…
Test sinovi o'tkaziladigan hududlar va test sinovlarining boshlanish vaqtlari (2026-yil 12-noyabr):
1. QORAQALPOG'ISTON RESPUBLIKASI:
Bilim va malakalarni baholash agentligi Qoraqalpog’iston Respublikasi bo‘limii.
•Testning boshlanish vaqti: 12-noyabr, soat 10:00.
•Manzil: Nukus shahri, Janabazar MFY, Nukus To'rtko'l avtomagistrali shossesi, 53/2-uy
Mo‘ljal: Janubiy avtovokzal
•Bino geolokatsiyasi: https://yandex.…
Showing the 12 most recent of 392 posts we hold for @BaholashUz. 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.
Posts edited after publishing
@BaholashUz edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 August 2026
Most recent edit
2 October 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @BaholashUz as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
19 August 2026
Most recent seen missing
11 October 2026
Median time before seen missing
35 hours
Seen missing in the last 30 days
0
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 331 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 693 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. The 24 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 — 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.
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 13 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.
MILLIY SERTIFIKAT @milliy_sertifikat · 20,444 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 23 September 2026
Online Olimpiada @online_olimpiada · 72,191 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 21 August 2026
Talabalar | Rasmiy kanali @Talabalar · 83,558 Telegram ranks this channel #2 of 80 here — alongside 79 others — read 13 August 2026
Edu.uz — DTM.uz — Abituriyentlar.uz — Oliygoh.uz — Abt.uz — Taʼlim kanallar — Xushnudbek.uz — xabar @eduuz_DTMuzb_abituriyent_oliygoh · 120,948 Telegram ranks this channel #2 of 82 here — alongside 81 others — read 13 August 2026
ABITURIYENTLAR 🎓 | Majburiy fanlar | Imtihon Savollari va Javoblari @ABITURIYENTLARI · 66,399 Telegram ranks this channel #3 of 75 here — alongside 74 others — read 31 August 2026
O'zbek tili va adabiyoti (Davron Akbar bilan) @RenessansStudy · 48,635 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 29 August 2026
Majburiy Fanlar | Bloklar 🧾 @Majburiy_fanlar_bloklar · 27,943 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 11 September 2026
Raqamli ta'lim markazi @raqamli_talim_markazi · 38,684 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 30 August 2026
Abituriyent | Axborot portali 👨🎓 @Abituriyent_talaba_baholashuz · 15,246 Telegram ranks this channel #4 of 50 here — alongside 49 others — read 21 August 2026
Oliy ta'lim yangiliklari va yutuqlari @OTM_Minbari · 110,150 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 13 August 2026
O’zbekiston Milliy Universitet (O'zMU) @milliy_universitut · 14,879 Telegram ranks this channel #5 of 48 here — alongside 47 others — read 15 September 2026
University of Business and Science @ubsuzbekistan · 23,565 Telegram ranks this channel #5 of 82 here — alongside 81 others — read 9 September 2026
Magistrlar Official @magistrlarofficial · 59,863 Telegram ranks this channel #5 of 81 here — alongside 80 others — read 22 August 2026
KUAF (official)🇺🇿 @kuaf_edu · 32,065 Telegram ranks this channel #6 of 50 here — alongside 49 others — read 1 September 2026
ONA TILI VA ADABIYOT_AKBAR OTABOYEV @Akbar_Otaboyev · 65,385 Telegram ranks this channel #6 of 77 here — alongside 76 others — read 28 August 2026
Ta'lim Live @Talim_Live · 49,666 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 17 August 2026
TDIU•TSUE•ТГЭУ @tsueuzofficial · 30,263 Telegram ranks this channel #8 of 80 here — alongside 79 others — read 6 September 2026
Farg'ona Davlat Universiteti @FarDUATM · 28,758 Telegram ranks this channel #10 of 88 here — alongside 87 others — read 23 September 2026
YURIDIK TA'LIM @Yuridik_Huquq · 18,640 Telegram ranks this channel #10 of 78 here — alongside 77 others — read 23 September 2026
Yoshlarni qo'llab-quvvatlash|Rasmiy kanal @YQQUZB_KANAL · 33,673 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 2 September 2026
School English Teachers @uzteachers · 55,944 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 24 August 2026
TARIX TILSIMI| Rustamov Sardor @Tarix_Tilsimi_N1 · 32,259 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 11 September 2026
Recent MultiLevel @RecentMultiLevel · 26,383 Telegram ranks this channel #12 of 78 here — alongside 77 others — read 10 September 2026
-Talabalar | Rasmiy @Talabalar_studentlar_official · 62,089 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 20 August 2026
This channel appears in 134 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Bilimni baholash agentligi” (@BaholashUz), 228,608 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/BaholashUz.
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.