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Telegram profile photo for 🍰Sevimli Oshxona🍜

Channel

🍰Sevimli Oshxona🍜

@PAZANDA_SIRLARI

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

7,697subscribers

-609 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001108966332
TypeChannel
Username@PAZANDA_SIRLARI
Description❗🔴ХИКОЯЛАРНИ ДАВОМИ👇🏻👇🏻 🍜🍛🥗ЭНГ ЯНГИ САЛАТЛАР ПИШИРИҚЛАР ТАОМЛАР РЕТЦЕПТЛАРИ 😍🍱🍽🍝🍟🍕ЎЗБЕГИМ МИЛЛИЙ ТАОМЛАРИ ВА ЕВРОПА ТАОМЛАРИ ЭНГ САРА РЕТЦЕПТЛАР ВА ДАСТУРХОН БЕЗАТИШ САНЪАТИ СИРЛАРИ ✅ОБУНА БЎЛИНГ👇
CreatedBetween 1 February 2017 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/PAZANDA_SIRLARI

Topic

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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 word for word on 2 other registered channels. They sit inside a group of 13 channels that share the same post bodies 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)
Posted firstThenOverlapGap
@oshxona_pazanda_salatlar_tortlar/897486 Aug 2026, 02:33 UTC@PAZANDA_SIRLARI/45298 · this entry6 Aug 2026, 02:34 UTC1.00under a minute
@oshxona_pazanda_salatlar_tortlar/897496 Aug 2026, 03:10 UTC@PAZANDA_SIRLARI/45299 · this entry6 Aug 2026, 03:10 UTC1.00under a minute
@oshxona_pazanda_salatlar_tortlar/897586 Aug 2026, 14:30 UTC@PAZANDA_SIRLARI/45300 · this entry6 Aug 2026, 14:30 UTC1.00under a minute
@PAZANDA_SIRLARI/45301 · this entry6 Aug 2026, 14:58 UTC@oshxona_pazanda_salatlar_tortlar/897606 Aug 2026, 14:58 UTC1.00under a minute
@oshxona_pazanda_salatlar_tortlar/897637 Aug 2026, 02:34 UTC@PAZANDA_SIRLARI/45304 · this entry7 Aug 2026, 02:35 UTC1.0072 seconds
@PAZANDA_SIRLARI/45309 · this entry7 Aug 2026, 11:52 UTC@oshxona_pazanda_salatlar_tortlar/897807 Aug 2026, 12:31 UTC1.0038 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@oshxona_pazanda_salatlar_tortlar6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (4–2)
@xomiladorlik_sirlari5 (5/5 hand-verifiable sample passed)1.00under a minute@xomiladorlik_sirlari (3–2)

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 27 comparable posts for this entry, running 4 August 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 13, the earliest publisher we hold is @BekalarUchun. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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 12 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

7,6978,3338,0156 August 2026 — 8,306 subscribers6 August 2026 — 8,299 subscribers9 August 2026 — 8,326 subscribers12 August 2026 — 8,333 subscribers16 August 2026 — 8,309 subscribers19 August 2026 — 8,284 subscribers22 August 2026 — 8,253 subscribers25 August 2026 — 8,233 subscribers28 August 2026 — 8,206 subscribers30 August 2026 — 8,185 subscribers3 September 2026 — 8,151 subscribers8 September 2026 — 8,097 subscribers12 September 2026 — 8,062 subscribers16 September 2026 — 8,015 subscribers25 September 2026 — 7,954 subscribers4 October 2026 — 7,891 subscribers11 October 2026 — 7,839 subscribers14 October 2026 — 7,819 subscribers17 October 2026 — 7,804 subscribers20 October 2026 — 7,791 subscribers23 October 2026 — 7,768 subscribers26 October 2026 — 7,756 subscribers29 October 2026 — 7,734 subscribers2 November 2026 — 7,714 subscribers5 November 2026 — 7,697 subscribers6 August 20265 November 2026
25 measurements spanning 91 days, net -609. 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 7,602–8,428 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 11:417,697-17
2 Nov 2026, 01:577,714-20
29 Oct 2026, 23:377,734-22
26 Oct 2026, 23:567,756-12
23 Oct 2026, 17:097,768-23
20 Oct 2026, 15:307,791-13
17 Oct 2026, 06:287,804-15
14 Oct 2026, 15:507,819-20
11 Oct 2026, 16:197,839-52
4 Oct 2026, 19:227,891-63
25 Sept 2026, 04:397,954-61
16 Sept 2026, 13:398,015-47
12 Sept 2026, 18:408,062-35
8 Sept 2026, 16:598,097-54
3 Sept 2026, 11:378,151-34
30 Aug 2026, 23:548,185-21
28 Aug 2026, 08:378,206-27
25 Aug 2026, 14:058,233-20
22 Aug 2026, 11:358,253-31
19 Aug 2026, 07:418,284first reading

Engagement

236 posts held, back to 4 August 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.19%
avg views ÷ 7,697 subscribers
Avg views / post
553
25 posts measured
Reaction rate
0.188%
reactions ÷ views · ER floor
Posts in window
25
of 236 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 13 of 25 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 7 November 2026
Posts held236 (4 August 2026 – 7 November 2026)
Views total13,832
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:22 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
≈4,290
Videos
≈21,100
Links
≈11,400

Lifetime counters from Telegram’s own channel header, read 8 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
3h 29m
Average length
1m 07s

Measured directly from 188 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

61 reactions across 45 posts, in 5 distinct kinds. The most used accounts for 80.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4980.3%
👍58.20%
🔥34.92%
🥰34.92%
😁11.64%

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 60 of the 236 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 64 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 236 most recent posts we hold, published 4 August 2026 to 7 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 25 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 — 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).

7 Nov 2026, 15:29 UTC137 views0 reactionsread 8 November 2026
Forwarded from @uzb_reklarPhoto

🛫❤️❤️❤️💞💞💞 BUTUN BEK BARAKANI SIFAT VA NARXI BILAN SHO'K QILAYOTGAN TOP 3 KANALLARDA QAYNOQ SKIDKA 🛍🛍🛍🛍🛍🛍🛍🛍🛍🛍 ╔═══════╗ ╔═══════╗ KURTKAOPTOM❤️ BOLSHIMER❤️ ╚══════🌿╝ ╚══════🌿╝ ╔══════════════╗ OPTOM OL FOYDANI KO'R❤️ ╚════════════🌿╝ Optomda eng yaxshi tanlov – Bek Baraka! Reklama xizmati: 7 yillik tajribaga ega admin @made_Durdona

6 Nov 2026, 15:33 UTC326 views2 reactionsread 8 November 2026
Video

Retsep 8-10 kg qizil barra sabzi 1 bosh chesnok 200 ml oʻsimlik yogʻi 1-2 osh q tuz 1 osh q qizil paprika 1 osh q achchiq paprika Koreyskiy tuz 1 pachka funchoza 🇹🇷 @TURK_OSHXONA 👈 🍜 @OSHXONA_MALIKALARI 🍕 🥗 @PAZANDA_MALIKALAR ❤️ 🍰 @ONLINE_OSHXONA 👈 💋 @LAZZATLI_RETSEPTLAR 🍓 👩🏻‍🍳 @PAZANDA_SIRLARI 🍊

❤2

6 Nov 2026, 15:00 UTC309 viewsread 8 November 2026
Video

#Қимор😰 Отаси ўз қизини қиморда ютқазиб қўйди 😓 БЕГОНА ЕРКАКKA 🔞 ОНАСИ БУНИ СЕЗИБ КОЛДИ КЕЙИН ЕСА... ДАВОМИНИ КУРИНГ ШОККА ТУШАСИЗ!😨👇 https://t.me/+cX7x7bjBS3c3ODYy https://t.me/+cX7x7bjBS3c3ODYy

6 Nov 2026, 05:59 UTC206 viewsread 6 November 2026
Video

😍Байрамга дахшат фасонлар кидиряпсизми❓#FASONLAR каналида сиз кутган дахшат фасонлар бор👗 Ишонмасангиз хозирок кириб куринг. Каналдан чиколмай коласиз😱👍 КАНАЛГА КИРИШ👇👇👇 ╔═🌿══════╗ F A S O N 👗🪡 ╚══════🌿═╝

5 Nov 2026, 15:29 UTC290 viewsread 6 November 2026
Video

😍Байрамга дахшат фасонлар кидиряпсизми❓#FASONLAR каналида сиз кутган дахшат фасонлар бор👗 Ишонмасангиз хозирок кириб куринг. Каналдан чиколмай коласиз😱👍 КАНАЛГА КИРИШ👇👇👇 ╔═🌿══════╗ F A S O N 👗🪡 ╚══════🌿═╝

5 Nov 2026, 15:27 UTC408 views0 reactionsread 8 November 2026
Video

​​☕️Choy qaynaguncha tayyor bo‘ladigan mazali nonushta 😍🧀 🧾 Kerakli masalliqlar: • Tuxum — 4 ta 🥚 • Tuz — ta’bga ko‘ra 🧂 • Sasiska — 3 dona 🌭 • Pomidor — 1 ta 🍅 • Bulg‘or qalampiri — yarimta • Saryog‘ — 50 gr 🧈 • Sir — 150 gr 🧀 • Lavash xamiri — 2 dona 🫓 😋 Tez, oson va juda mazali! Ertalabki nonushtaga, ayni muddao. © bonam__bakery 🫴 @pishirkuydir | #nonushta

5 Nov 2026, 15:01 UTC380 viewsread 8 November 2026
Photo

✨ 🔠🔠🔠🔠🔠 tikish KURSIGA QABUL BOSHLANDI ✨ Atigi 🔠🔠🔠.000 so‘m evaziga parda tikish sirlarin i o‘rganing! 📌 Turli xil parda fasonlari 📌 Andaza olish va bichish 📌 Tikish texnikalari 📌 Amaliy darslar 🏡 Uydan chiqmagan holda o‘rganishingiz mumkin. 🎯 Boshlovchilar uchun ham mos. 📩 Batafsil ma'lumot va ro‘yxatdan o‘tish uchun kanalga qo‘shiling! 🔥 Joylar cheklangan, shoshiling! https://t.me/tikuvchilikkurslarii https:…

5 Nov 2026, 05:59 UTC338 views1 reactionsread 6 November 2026
Video

3 yarim oyda instagramda 100k obunachi yig’dim 😍 Sun’iy intellekt orqali ham zakazlar olib daromad qilyapman, ham instagram yurityapman maza qilib 🔥 million - million prosmotrlar olib. 📱 Instagram sahifamni ko’rishingiz mumkin: instagram.com/nafisa.azamatovna Agar siz ham o’rganishni xohlasangiz, @Trend_Ijodxona kanalimga qo’shilib, shogirdlarim natijalarini ko’rib chiqing 😍 Asosiy kanalim: @NafisaAzamatovna_ai @…

❤1

4 Nov 2026, 15:29 UTC395 viewsread 6 November 2026
Video

3 yarim oyda instagramda 100k obunachi yig’dim 😍 Sun’iy intellekt orqali ham zakazlar olib daromad qilyapman, ham instagram yurityapman maza qilib 🔥 million - million prosmotrlar olib. 📱 Instagram sahifamni ko’rishingiz mumkin: instagram.com/nafisa.azamatovna Agar siz ham o’rganishni xohlasangiz, @Trend_Ijodxona kanalimga qo’shilib, shogirdlarim natijalarini ko’rib chiqing 😍 Asosiy kanalim: @NafisaAzamatovna_ai @…

3 Nov 2026, 15:19 UTC555 viewsread 8 November 2026
Video

​​🥟 Uy sharoitida, mazali CHUCHVARA.😍 ✍️ Kerakli masalliqlar: • Un — 500 gr🌾 • Tuz — 10 gr 🧂 • Tuxum — 1 dona 🥚 • Qo‘y dumbasi — 100 gr 🥩 • Suv — 150 gr 💧 🥩 Qiymasi uchun: • Farsh — 400 gr 🥩 • Tuz — 8 gr 🧂 • Murch — bir chimdim 🌶️ • O‘simlik yog‘i — 30 gr 🫒 • Piyoz — 300 gr 🧅 🫴 @pishirkuydir | #taom

2 Nov 2026, 15:12 UTC657 views3 reactionsread 8 November 2026
Video

🍃🌺​​Ayollar uchun, judayam foydali maslahatlar. 🫴 @pishirkuydir | #maslahat

❤2👍1

Showing the 12 most recent of 236 posts we hold for @PAZANDA_SIRLARI. 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.

Posts recorded as deleted after publishing

We recorded 4 posts on @PAZANDA_SIRLARI 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
3 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
4

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 33 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 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.

🍰OSHXONA MALIKALARI👑
@oshxona_pazanda_salatlar_tortlar · 12,853
105 posts
🍊Маззали Ретцептлар 🇹🇷Turk Oshxona🍰
@TURK_OSHXONA · 6,199
64 posts
️️️️Yulduzlar Hayoti
@Yulduz_Munisa_Rayhon_Ozoda · 30,474
47 posts
🍰Маззали🥗Салатлар ва Пишириқлар🥐
@oshxona_malikalari · 3,911
36 posts
🥘PAZANDA MALIKALAR👑
@Pazanda_Malikalar · 2,321
17 posts
👸Mashxur Ayollar Sirlari💃
@MASHXUR_AYOLLAR · 1,111
16 posts
🍓Lazzatli Retseptlar🍎
@Lazzatli_Retseptlar · 2,136
14 posts
Yulduzlar Olami
@Yulduzlar_Olam · 14,406
11 posts
Shirin narsalar
@zangorioy · 1
11 posts
Asal Shodieva Liboslari🐝
@Asal_Shodieva_Fasonlari · 226
10 posts
Parizoda Liboslari
@pariozda · 1,068
10 posts
Online Oshxona🍎
@Online_oshxona · 1,738
9 posts
🌍Дунё Гўзалликлари🌊
@Yulduzlar_Hayot · 808
6 posts
MUNISA RIZAEVA | Муниса Ризаева
@munisa_rizayiva · 724
5 posts
Ginekologiya Ayollar Salomatligi
@GINEKOLOGIYA_Ayollar_salomatli · 11,933
4 posts
BLOGERLAR BEKATI
@blogerlar_bekati · 11,051
2 posts
BOLAJON 👶🏼
@Bolajonlar_chaqaloqlar_godaklarr · 18,198
2 posts
Арабиянка💃 (Ак,илли аёллар канали)
@gieshalar_siri · 13,993
2 posts
Маслахатлар ➕
@MASLAXATLAR · 794
2 posts
⌗꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭꯭🌸꯭꯭꯭꯭꯭꯭🎀꯭⃝⃘⃕꙰💜꯭꙰ АРМОНЛИГИМ🎀꯭⃝⃘⃕꙰💜꯭꙰
@rtyu5432 · 2
2 posts
🌸СОЛИХА АЁЛ🌸
@Solixa_Ayol · 21,621
2 posts
Yulduzlar
@Yulduzlar_Munisa_Rayhon_Shahzoda · 46
2 posts
ZamonimizTv | Rasmiy kanal
@zamonimiztv · 10,246
2 posts

Names

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

🍓Lazzatli Retseptlar🍎
@Lazzatli_Retseptlar · 2,136
98 posts
Online Oshxona🍎
@Online_oshxona · 1,738
98 posts
🍰Маззали🥗Салатлар ва Пишириқлар🥐
@oshxona_malikalari · 3,911
98 posts
🥘PAZANDA MALIKALAR👑
@Pazanda_Malikalar · 2,321
98 posts
🍊Маззали Ретцептлар 🇹🇷Turk Oshxona🍰
@TURK_OSHXONA · 6,199
98 posts
Хайрли Тонг 💐 Xayrli Tong
@XayrliKunlar · 30,803
6 posts
Скачать с Инстаграм • в инсте
@vinsteBot · 72,133
4 posts
𝐐𝐈𝐙𝐋𝐀𝐑 𝐔𝐂𝐇𝐔𝐍 🤍
@fitnes_dancee · 6,118
2 posts
Makiyaj trendi (𝓞𝓻𝓲𝓰𝓲𝓷𝓪𝓵 )
@makiyaj_trendi · 8,496
2 posts
Nafisa Azamatovna | Sun’iy intellekt👩🏻‍💻
@NafisaAzamatovna_ai · 24,429
2 posts
𝑻𝒊𝒌𝒖𝒗𝒄𝒉𝒊𝒍𝒊𝒌 𝒔𝒊𝒓𝒍𝒂𝒓𝒊𝒊 𝒐𝒍𝒂𝒎𝒊💕
@tikuvchilikkurslarii · 2,173
2 posts
AI kursi “Trend ijodxona” natijalar
@Trend_Ijodxona · 1,934
2 posts
ЖАННАТИМ ОНАМ ДАВЛАТИМ ОТАМ 💖
@baxtimsiz_onajon · 192,916
1 post
BLOGERLAR BEKATI
@blogerlar_bekati · 11,051
1 post
Арабиянка💃 (Ак,илли аёллар канали)
@gieshalar_siri · 13,993
1 post
𝓵𝓮𝔂𝓵𝓪𝓶.𝓹𝓰 💗
@leylam_pg · 7,453
1 post
Qalb iffati🫀
@Qalb_iffati · 3,218
1 post
Vkusno_by_Seva
@seva_vkusno · 167,295
1 post
Shou-biznes yangiliklari
@shoubizyangiliklari · 117,489
1 post
✨ 𝑺𝒐𝒈ʻ𝒍𝒐𝒎 𝑱𝒐𝒛𝒊𝒃𝒂 ✨
@Soglom_Joziba · 27,220
1 post
SOʻNGI MODA BRENDI 👗
@SONGI_MODA_BRENDI · 3,110
1 post
"Творим Чудеса 🌈"made by Durdona
@tvorim_chudo · 15,356
1 post
💝KUTILMAGAN QO'NG'IROQ LOYIXASI💖💖💖💖
@yaqinlarimga_tilaklarrr · 998
1 post

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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“🍰Sevimli Oshxona🍜” (@PAZANDA_SIRLARI), 7,697 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/PAZANDA_SIRLARI.

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.