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Channel

Metodik yordam📚

@metodik_yordamchi

On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

2,601subscribers

-13 since we began measuring on 29 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002537379516
TypeChannel
Username@metodik_yordamchi
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live18 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/metodik_yordamchi

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 15 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.

Growth

2,5862,6142,60029 August 2026 — 2,614 subscribers30 August 2026 — 2,614 subscribers1 September 2026 — 2,609 subscribers5 September 2026 — 2,607 subscribers10 September 2026 — 2,590 subscribers14 September 2026 — 2,586 subscribers18 September 2026 — 2,601 subscribers2,60129 August 202618 September 2026
7 measurements spanning 20 days, net -13. 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 2,582–2,618 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 12:552,601+15
14 Sept 2026, 05:012,586-4
10 Sept 2026, 22:212,590-17
5 Sept 2026, 15:012,607-2
1 Sept 2026, 19:052,609-5
30 Aug 2026, 02:232,614no change
29 Aug 2026, 11:152,614first reading

Engagement

13 posts held, back to 16 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
64.1%
avg views ÷ 2,601 subscribers
Avg views / post
1,670
3 posts measured
Reaction rate
0.14%
reactions ÷ views · ER floor
Posts in window
4
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 August 2026
Posts held13 (16 August 202626 August 2026)
Views total5,002
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 11:15 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

49 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 38.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1938.8%
918.4%
👍918.4%
🤝714.3%
👏36.12%
❤‍🔥12.04%
😁12.04%

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 11 of the 13 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 16 August 2026 to 26 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.

Recent posts

26 Aug 2026, 07:53 UTC462 views3 reactionsread 29 August 2026
Photo

3 yillik natijalarimizni bitta kanalda yigʻib qoʻydim @OmalashtirishUZ

👍2🔥1

Signed Kompyuter xizmatlari

25 Aug 2026, 06:28 UTC≈3,940 views3 reactionsread 29 August 2026
Photo

✅ 4⃣0⃣ 💖GACHA USTAMA OLISHNI REJALASHTIRGAN O‘QITUVCHILAR DIQQATIGA! 🎯 Agar bu yil USTAMA olishni maqsad qilgan bo‘lsangiz, ishni o‘quv yili boshidanoq boshlashingizni tavsiya qilaman. 📌 Ustamaga ball berishning 4-mezoni — OMMALASHTIRISH. ❗️ Bu yil pedagogik kengash qarorigacha metodik ish tayyorlangan va antiplagiat tekshiruvidan o‘tkazilgan bo‘lishi kerak. ⏰ Bu yil ommalashtirishga harakat o'quv yili boshidan

👏3

Signed Kompyuter xizmatlari

25 Aug 2026, 05:49 UTC600 views1 reactionsread 29 August 2026
File

File, posted without a caption

🔥1

Signed Kompyuter xizmatlari

20 Aug 2026, 16:36 UTCviews —

Metodik yordam📚 pinned «Bu yilgi natijalarimiz tepaga chiqib koʻrishingiz mumkin»

20 Aug 2026, 12:47 UTC≈1,100 views13 reactionsread 29 August 2026
Photo

🔥 SIZ TAVSIYA QILING — 50 000 SO‘M OLING! Bizning kanalimizdagi o‘qituvchilarning katta qismi xizmatimizdan foydalanib, o‘z OMMALASHTIRISH ishlarini tayyorlatgan. Endi esa siz uchun yangi imkoniyat! Agar biz orqali oldin ish tayyorlatgan bo‘lsangiz, o‘zingizga yangi ish kerak bo‘lmasa ham, hamkasbingizga tavsiya qilishingiz mumkin. 👩‍🏫 Siz tavsiya qilgan o‘qituvchi bizdan ish buyurtma qilsa: 💰 HAR BIR YANGI MIJO

🔥103

Signed Kompyuter xizmatlari

19 Aug 2026, 04:18 UTC983 views4 reactionsread 29 August 2026
Photo

📢 METODIK TAVSIYALAR UCHUN ZAKAZLAR QABULI BOSHLANDI! 📚 Hurmatli ustozlar! 👩‍🏫👨‍🏫 So‘rovnomamiz natijasiga ko‘ra, ko‘pchilik ustozlar metodik tavsiyalarni hozirdanoq tayyorlashni ma’qul deb topdi. Shu munosabat bilan metodik tavsiya tayyorlash uchun zakazlar qabulini boshlaymiz! 🚀 ✅ Mavzuni siz tanlaysiz yoki oʻzimiz tanlab beramiz ✅ Zamonaviy pedagogik yondashuvlar asosida tayyorlanadi ✅ Talablarga mos nizom aso

🔥21👍1

Signed Kompyuter xizmatlari

19 Aug 2026, 04:17 UTC730 views1 reactionsread 29 August 2026

Bu yilgi natijalarimiz tepaga chiqib koʻrishingiz mumkin

😁1

Signed Kompyuter xizmatlari

18 Aug 2026, 13:41 UTC838 views2 reactionsread 29 August 2026
Photo

Hurmatli ustozlar ogoh boʻling shunga oʻxshagan filelar ustiga bosmang Har haftada 2 3 ta oʻqituvchilar akkountlari shular sababli buzulyabdi

👍1🔥1

Signed Kompyuter xizmatlari

17 Aug 2026, 06:53 UTC≈1,060 views10 reactionsread 29 August 2026

📊 SO‘ROVNOMA NATIJASI Metodik tavsiyalarni qachondan tayyorlashni boshlash ma’qul, degan savol bilan so‘rovnoma o‘tkazgan edik. 📌 Natijalar: 🔹 Hozirdan boshlaymiz — 46 ta ovoz (71%) 🔹 Dekabr oyidan boshlaymiz — 10 ta ovoz (15%) 🔹 Hali aniq qaror qilmaganman — 9 ta ovoz (14%) Demak, aksariyat ustozlar hozirdanoq boshlash tarafdori. ✅ Shoshilmasdan, puxta va sifatli metodik tavsiyalar tayyorlash uchun ayni vaqt.

🔥4🤝31❤‍🔥1👍1

Signed Kompyuter xizmatlari

16 Aug 2026, 14:43 UTC986 views0 reactionsread 29 August 2026
Poll

METODIK TAVSIYA TAYYORLASHNI QACHONDAN BOSHLAGAN MA’QUL?

  1. Hozirdan boshlaymiz — sifatli va shoshilmasdan tayyorlaymiz69%
  2. Dekabr oyidan boshlaymiz16%
  3. Hali aniq qaror qilmaganman15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Signed Kompyuter xizmatlari

16 Aug 2026, 14:42 UTC≈1,030 views7 reactionsread 29 August 2026

📢 METODIK TAVSIYA TAYYORLASHNI QACHONDAN BOSHLAGAN MA’QUL? Hurmatli ustozlar, sizlarning fikringiz biz uchun muhim! 🌿 📌 Ommalashtirish jarayoni odatda mart oyida boʻladi. Shuning uchun metodik tavsiyalarni oldindan tayyorlab qo‘yishning bir qancha afzalliklari bor: ✅ Metodik tavsiyaga kerakli qo‘shimcha va takliflarni kiritish uchun vaqt yetarli bo‘ladi; ✅ Ishni shoshilmasdan, sifatli tayyorlash imkoniyati boʻlad

👍43

Signed Kompyuter xizmatlari

Showing the 12 most recent of 13 posts we hold for @metodik_yordamchi. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

16 Aug 2026, 14:43 UTCAnonymous Poll94 voters

METODIK TAVSIYA TAYYORLASHNI QACHONDAN BOSHLAGAN MA’QUL?

  1. Hozirdan boshlaymiz — sifatli va shoshilmasdan tayyorlaymiz69%
  2. Dekabr oyidan boshlaymiz16%
  3. Hali aniq qaror qilmaganman15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 13 most recent posts we hold, published 16 August 2026 to 26 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 3 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.

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

“Metodik yordam📚” (@metodik_yordamchi), 2,601 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/metodik_yordamchi.

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.