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Telegram profile photo for 2-Sinf Fayllar Bazasi

Channel

2-Sinf Fayllar Bazasi

@ikkinchisinf

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

52,182subscribers

+1,224 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001253532780
TypeChannel
Username@ikkinchisinf
DescriptionBu bazamizda 2-sinfga oid fayllarni topishingiz mumkin
Created4 October 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/ikkinchisinf

Topic

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 10 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 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)
Posted firstThenOverlapGap
@ikkinchisinf/106869 · this entry9 Jul 2026, 07:23 UTC@tortinchisinf/912959 Jul 2026, 07:26 UTC1.002 minutes
@ikkinchisinf/106871 · this entry9 Jul 2026, 08:23 UTC@tortinchisinf/912979 Jul 2026, 08:25 UTC1.0072 seconds
@tortinchisinf/914647 Aug 2026, 11:56 UTC@ikkinchisinf/107046 · this entry7 Aug 2026, 11:56 UTC1.00under a minute
@tortinchisinf/914667 Aug 2026, 23:04 UTC@ikkinchisinf/107048 · this entry7 Aug 2026, 23:04 UTC1.00under a minute
@birinchisinf/822269 Jul 2026, 07:21 UTC@ikkinchisinf/106869 · this entry9 Jul 2026, 07:23 UTC1.002 minutes
@birinchisinf/822289 Jul 2026, 08:23 UTC@ikkinchisinf/106871 · this entry9 Jul 2026, 08:23 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@tortinchisinf8 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (71)
@birinchisinf7 (7/7 hand-verifiable sample passed)1.00under a minute@birinchisinf (43)
@uchinchisinf7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (70)

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. 3 of the 5 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 10 comparable posts for this entry, running 9 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 @birinchisinf. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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.

Growth

49,61252,18250,8976 August 2026 — 50,958 subscribers6 August 2026 — 50,883 subscribers7 August 2026 — 50,765 subscribers8 August 2026 — 50,632 subscribers9 August 2026 — 50,544 subscribers10 August 2026 — 50,487 subscribers11 August 2026 — 50,417 subscribers12 August 2026 — 50,335 subscribers13 August 2026 — 50,217 subscribers15 August 2026 — 50,078 subscribers16 August 2026 — 49,975 subscribers17 August 2026 — 49,905 subscribers18 August 2026 — 49,843 subscribers19 August 2026 — 49,756 subscribers20 August 2026 — 49,612 subscribers21 August 2026 — 49,880 subscribers23 August 2026 — 49,938 subscribers24 August 2026 — 49,944 subscribers25 August 2026 — 49,996 subscribers26 August 2026 — 50,063 subscribers27 August 2026 — 50,082 subscribers28 August 2026 — 50,107 subscribers29 August 2026 — 50,072 subscribers30 August 2026 — 50,009 subscribers31 August 2026 — 49,971 subscribers1 September 2026 — 49,942 subscribers2 September 2026 — 50,059 subscribers3 September 2026 — 50,275 subscribers5 September 2026 — 50,601 subscribers9 September 2026 — 51,585 subscribers11 September 2026 — 52,096 subscribers13 September 2026 — 51,906 subscribers15 September 2026 — 51,978 subscribers17 September 2026 — 52,085 subscribers19 September 2026 — 52,182 subscribers6 August 202619 September 2026
35 measurements spanning 44 days, net +1,224. 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 49,227–52,568 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
19 Sept 2026, 11:1852,182+97
17 Sept 2026, 00:0052,085+107
15 Sept 2026, 00:5951,978+72
13 Sept 2026, 11:0151,906-190
11 Sept 2026, 17:1852,096+511
9 Sept 2026, 00:4151,585+984
5 Sept 2026, 19:5850,601+326
3 Sept 2026, 16:3850,275+216
2 Sept 2026, 07:2350,059+117
1 Sept 2026, 07:0649,942-29
31 Aug 2026, 08:4449,971-38
30 Aug 2026, 11:5550,009-63
29 Aug 2026, 15:0450,072-35
28 Aug 2026, 16:4450,107+25
27 Aug 2026, 19:0750,082+19
26 Aug 2026, 19:1250,063+67
25 Aug 2026, 18:4649,996+52
24 Aug 2026, 21:0949,944+6
23 Aug 2026, 09:4949,938+58
21 Aug 2026, 20:5649,880first reading

Engagement

465 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 121 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.09%
avg views ÷ 52,182 subscribers
Avg views / post
3,700
389 posts measured
Reaction rate
0.13%
reactions ÷ views · ER floor
Posts in window
389
of 465 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 280 of 389 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 September 2026
Posts held465 (6 July 202623 September 2026)
Views total1,439,706
Reactions total1,593
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 01:35 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
78,600
Videos
5,290
Links
4,370

Lifetime counters from Telegram’s own channel header, read 23 September 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
8h 59m
Average length
3m 26s

Measured directly from 157 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

1,931 reactions across 312 posts, in 14 distinct kinds. The most used accounts for 79.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,53779.6%
👍22211.5%
🥰351.81%
🔥321.66%
🤩321.66%
👏281.45%
🎉140.725%
🏆110.57%
❤‍🔥70.363%
💯40.207%
👀30.155%
💘30.155%
🤗20.104%
💋10.052%

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 337 of the 465 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 1,931 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 465 most recent posts we hold, published 6 July 2026 to 23 September 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

23 Sept 2026, 00:05 UTC692 viewsread 23 September 2026
Forwarded from @pifagor_books_123

1-2-3-4-sinf rahbarlari, Prezident maktablariga tayyorlantiradigan o'qituvchilar va repetitorlarda KITOBLARIMIZNI BEPUL OLISH IMKONIYATI BOR. Buning uchun @pifagor_books ga o'qitivchiman, kitoblarni qanday bepul olaman deb yozing! Shoshilib qoling. Kitoblar soni cheklangan. Yuqoridagi va ushbu e'lonni o'z ustozlarizga yuboring.

23 Sept 2026, 00:05 UTC692 viewsread 23 September 2026
Forwarded from @pifagor_books_123Video

TAVSIYA.Oxirigacha o'qing👇👇👇 Barcha 1-2-3-4-sinf ustozlari va o'quvchilari uchun mantiqiy matematikadan super darajadagi foydali kitoblar ❗️❗️❗️ BU KITOBDAGI SAVOLLARNI SIZ DAVLAT DARSLIKLARIDA TOPA OLMAYSIZ!!! Kitoblar muallifi sifatida "PIFAGOR" hamda "Zukko bolajon" kitoblarini sizga tavsiya qilishimdan asosiy maqsad bu har bir o'quvchining mantiqiy fikrlashini rivojlantirish 📘 1-2-sinflar hamda 2-3-sinflar u

23 Sept 2026, 00:03 UTC92 views1 reactionsread 23 September 2026
Video

🌈🌈🌈 2-3-SINF USTOZLARI diqqatiga !!!👩‍🏫 ❗️❗️❗️1-CHORAK UCHUN YOPIQ GURUHLARGA DAVOM ETMOQDA 📌📌📌 🩷Kelajak soati; 🩵Ona tili; in 💚Matematika; 🧡O‘qish savodxonligi+mashq daftari; 💙 Tabiiy fan+mashq daftari 💛Tarbiya; 🩵Informatika + mashq daftari; 💜 Texnologiya ✅ Slaydlar ✅ Tezislar ✅ Ochiq dars ishlanmalari ✅ Ko‘rgazmalar; ✅ Dam olish daqiqalari; ✅ Videolar ✅ Nazorat ishi; 📙📙 DARSLAR SLAYD , RASM, VIDEO KO'RIN

1

22 Sept 2026, 18:00 UTC≈1,110 views6 reactionsread 23 September 2026
Photo

Photo, posted without a caption

4👍2

Showing the 12 most recent of 465 posts we hold for @ikkinchisinf. 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

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 9 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

1-Sinf Fayllar Bazasi
@birinchisinf · 91,814
#1
3-Sinf Fayllar Bazasi
@uchinchisinf · 126,044
#2
Boshlang'ich ustozlar
@Ikkinchisinf89 · 6,138
#3
3-SINF METODLAR BAZASI
@fayllar_sinf_ikramova · 10,352
#4
E-BAZA ISH REJA
@e_baza_ishreja · 320,661
#5
Lider ustozlar kanali
@liderustozlar · 7,227
#6
💐Test online( yuksalish)
@namonlinetest · 982
#7
Nasiba Abdullayeva & Aslbek Fayziyev Math
@NasibabdullayevaMath · 13,978
#8
BOSHLANG‘ICH TA'LIM
@ustoz_0307 · 16,578
#9
E-BAZA 2-SINF
@e_baza_2sinf · 13,320
#10
Dars ishlanmalar
@Ochiq_dars_ishlanmalari · 6,644
#11
Bt_1-sinf
@Birinchisinf89 · 6,721
#12
1-sinf ustozlari uchun kanal
@ilkqadam_sinf · 6,774
#13
3-sinf JAMOASI
@sinf3_JAMOASI · 6,136
#14
Men uchinchi sinfman🇺🇿🇺🇿🇺🇿
@ustoz_pro_3 · 2,152
#15
9-sinf Fayllar Bazasi
@toqqizinchisinfga · 4,445
#16
LIDER 3-sinf @xomidovashohida
@lider3sinf · 6,879
#17
O'qituvchilar / Ўқитувчилар
@jonajon_ustozlar_kanali · 13,998
#18
4-sinf Fayllar Bazasi
@tortinchisinf · 138,172
#19
KO'RGAZMALAR DUNYOSI
@KORGAZMALAR_DUNYOSI · 81,821
#20
2-sinf JAMOASI
@sinf2_JAMOASI · 5,765
#21
Boshlang'ich ustozlar
@Uchinchisinf89 · 7,486
#22
6-sinf Fayllar Bazasi
@oltinchisinflar · 44,531
#23
Boshlang'ich sinf topshiriqlari
@DilraboPardayeva · 23,501
#24
Oliy toifa | Feruza Ikramova
@oliytoifasari_attestatsiya · 32,672
#25
MTT HUJJAT VA KO'RGAZMALARI
@mtt_hujjat_korgazma · 17,052
#26
Boshlang'ich bazasi
@turtinchisinf89 · 8,382
#27
Nasiba Abdullayeva
@AttestatsiyaNasiba · 138,872
#28
YADRO ACADEMY
@yadro_academy · 2,460
#29
PMTONLINE
@PMTONLINE · 2,128
#30
🌺🌺O'ZBEKISTON BOSHLANG'ICH PEDAGOGI🌺🌺
@ozbekistonpedagogi · 13,780
#31
Penguin tests with Ahmadjon. Prezident, Al-Xorazmiy va Ixtisoslashtirilgan maktablar uchun tayyorgarlik.
@penguintestsPMTwithNewton · 473
#32
🍃𝐵𝑖𝑏𝑖_𝑚𝑎𝑟𝑖𝑒𝑚🍃
@bibimariem · 854
#33
8-sinf Fayllar Bazasi
@sakizinchisinf · 7,557
#34
TRM Metodik yordam
@trm_metodika · 21,902
#35
JIZZAX VILOYATI № 1-SINF USTOZLARI KANALI
@mohirayunusova · 2,057
#36
INNOVATSION METODIKA
@innovatsionmetodika · 23,063
#37
MAKTAB️
@maktab_e · 160,365
#38
A.Avloniy nomidagi pedagogik mahorat milliy instituti
@avloniyuz · 145,619
#39
Pedagogik faoliyat
@NasibaAlisherovna · 329
#40
Toʻyev Baxtiyor || Taʼlimga oid
@Baxtiyor_Tuyev · 3,250
#41
5-sinf Fayllar Bazasi
@beshinchisinf · 59,949
#42
USTOZGA KO'MAK
@ustozga_komak · 4,293
#43
EduTests.uz
@edutestsuz · 72,677
#44
MTT Musiqa rahbarlari | MTT hodimlari
@mtt_musiqa_kanali · 7,671 (as read 25 August 2026)
#45
Kangaroo Uzbekistan Official
@contest_kenguru_uz · 10,881
#46
Maktablar uchun hujjatlar
@maktablar_uchun_hujjatlar · 63,651
#47
Eng zo‘r ko‘rgazma metodlar.
@metodlar0 · 11,893
#48
Edu Hilol
@eduhilol · 1,609
#49
O'rganamiz, o'rgatamiz! (KANAL)
@xomidovashohida · 16,304
#50
Ixtisoslashtirilgan ta'lim muassasalari agentligi
@piimauz · 64,791
#51
INSPIRING EDUCATION online darslar
@piimatayyorlov · 4,588
#52
Prezident maktablariga va Nufuzli maktablarga tayyorgarlik
@piimaolympiad_edu · 28,520
#53
MAKTABGA_HUJJAT
@maktabga_hujjat · 14,692
#54
SAT va Prezident maktablariga tayyorgarlik (UstozUz)
@ustozuzpm · 1,800
#55
Prezident maktabi testlari
@pm_schooltest · 6,457
#56
📚 Kitobsevar bolajon 🤗
@child_books_islamic · 5,565
#57
Öqituvchiga hujjat
@uqituvchiga_hujjat · 144,390
#58
Maktabgacha va maktab ta'limi vazirligi
@uzedu · 104,640
#59
ZAMONAVIY USTOZ
@zamonaviyoqituvchi · 3,770
#60
BOG'CHA HUJJATLARI
@BOGCHA_HUJJATLARII · 7,095
#61
7-sinf Fayllar Bazasi
@yettinchisinf · 14,165
#62
Kelajak Markazi Ilmiy-metodik bo‘lim
@kelajak_markazi_ilmiy · 2,969
#63
Boshlang'ichlar klubi.🌎 Teacher/Guli
@Primaryfanclub_277 · 863
#64
1-sinf JAMOASI
@sinf1_jamoasi · 6,568
#65
Педагоги начальной школы
@pedagogi_shkola · 2,323
#66
G'UNCHA jurnali_1958
@Guncha_jurnali · 796
#67
Golang_Jobs
@Gollang_Jobs · 1,517
#68
Педагоги поймут
@pedagogam · 2,940
#69
Amanova | boshmatematika
@boshmatematika · 6,353
#70
Namangan viloyati maktabgacha va maktab ta'limi boshqarmasi/ RASMIY
@namanganv_xtb · 17,641
#71
💎Sevinch Sidiqova💎
@Sevinch_Sidiqova_official · 875
#72
Цифровые Гении (2 кл) – Учимся, играем и побеждаем вместе!
@rafikovna_2klass · 2,597
#73
Кружки и конспекты
@krujki_konspekti · 9,023
#74
Дорога к себе
@way_to_777 · 4,116
#75
Лидер Педагогам
@leaderped · 1,313
#76

Read from Telegram’s recommendation API, most recently 25 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.

Mantiqiy savollar 💡
@mantiqiy_mantiq_savollar · 40,107
Telegram ranks this channel #1 of 46 here — alongside 45 others — read 24 August 2026
1-Sinf Fayllar Bazasi
@birinchisinf · 91,814
Telegram ranks this channel #1 of 76 here — alongside 75 others — read 18 August 2026
3-Sinf Fayllar Bazasi
@uchinchisinf · 126,044
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 14 August 2026
5-sinf Fayllar Bazasi
@beshinchisinf · 59,949
Telegram ranks this channel #4 of 42 here — alongside 41 others — read 24 August 2026
4-sinf Fayllar Bazasi
@tortinchisinf · 138,172
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 15 August 2026
KO'RGAZMALAR DUNYOSI
@KORGAZMALAR_DUNYOSI · 81,821
Telegram ranks this channel #22 of 80 here — alongside 79 others — read 19 August 2026
Nasiba Abdullayeva
@AttestatsiyaNasiba · 138,872
Telegram ranks this channel #76 of 97 here — alongside 96 others — read 13 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

6 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

www.instagram.comregistrable domain: instagram.com2 posts · 6 August 2026 – 7 August 2026 · example post
www.youtube.comregistrable domain: youtube.com2 posts · 6 August 2026 – 7 August 2026 · example post
vacancy.piima.uzregistrable domain: piima.uz1 post · 12 July 2026 – 12 July 2026 · example post
talimxabarlari.uz1 post · 12 July 2026 – 12 July 2026 · example post
pedagog.uzedu.uzregistrable domain: uzedu.uz1 post · 12 July 2026 – 12 July 2026 · example post
youtube.com1 post · 12 July 2026 – 12 July 2026 · example post

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“2-Sinf Fayllar Bazasi” (@ikkinchisinf), 52,182 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ikkinchisinf.

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.