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Channel

SANOKULOV'S SPEAKING SAMPLES

@sanokulovs_speaking

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

10,948subscribers

+1,621 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1004369865152
TypeChannel
Username@sanokulovs_speaking
CreatedBetween 1 June 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held26
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/sanokulovs_speaking

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 11 September 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.

Views per post sit far above this size band

6,050 average views per post against 10,948 subscribers — an engagement rate of 55.3%. Across the 5,383 registered channels in the same cohort — 10,000–31,618 subscribers, posting mainly in English — the middle half sit between 1.86% and 10.4%, with a median of 5.12%.

What this was computed from
Window30 days (24 August 2026 23 September 2026)
Posts measured9 of 9 published in the window (0 exact, 9 rounded by Telegram)
Views totalled54,480
Mature posts only55.3% over 9 posts read at least 24h after publication
Subscribers10,948 measured 19 September 2026
Cohortb10000:eng · 5,383 channels · p10 0.5% · p25 1.86% · p50 5.12% · p75 10.4% · p90 18.3%
Position in cohort99.368th percentile · 10.8× the cohort median
Uncertainty±0.274% of the figure, from Telegram’s rounding
Post languageEnglish · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 23 September 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.

Growth

9,32710,94910,1386 August 2026 — 9,327 subscribers7 August 2026 — 9,330 subscribers10 August 2026 — 9,410 subscribers13 August 2026 — 9,663 subscribers16 August 2026 — 9,703 subscribers19 August 2026 — 10,130 subscribers20 August 2026 — 10,243 subscribers22 August 2026 — 10,306 subscribers24 August 2026 — 10,314 subscribers25 August 2026 — 10,325 subscribers26 August 2026 — 10,351 subscribers27 August 2026 — 10,449 subscribers28 August 2026 — 10,532 subscribers29 August 2026 — 10,561 subscribers30 August 2026 — 10,567 subscribers31 August 2026 — 10,593 subscribers1 September 2026 — 10,684 subscribers2 September 2026 — 10,692 subscribers3 September 2026 — 10,768 subscribers5 September 2026 — 10,787 subscribers9 September 2026 — 10,914 subscribers11 September 2026 — 10,948 subscribers13 September 2026 — 10,949 subscribers15 September 2026 — 10,937 subscribers17 September 2026 — 10,924 subscribers19 September 2026 — 10,948 subscribers10,9486 August 202619 September 2026
26 measurements spanning 44 days, net +1,621. 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 9,084–11,192 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
19 Sept 2026, 14:1510,948+24
17 Sept 2026, 00:4210,924-13
15 Sept 2026, 02:3810,937-12
13 Sept 2026, 11:3810,949+1
11 Sept 2026, 16:3810,948+34
9 Sept 2026, 00:4110,914+127
5 Sept 2026, 14:5810,787+19
3 Sept 2026, 19:0010,768+76
2 Sept 2026, 08:4710,692+8
1 Sept 2026, 12:1410,684+91
31 Aug 2026, 09:5410,593+26
30 Aug 2026, 12:5710,567+6
29 Aug 2026, 12:3610,561+29
28 Aug 2026, 09:5410,532+83
27 Aug 2026, 06:3710,449+98
26 Aug 2026, 08:5710,351+26
25 Aug 2026, 05:2310,325+11
24 Aug 2026, 02:4310,314+8
22 Aug 2026, 12:2310,306+63
20 Aug 2026, 23:2410,243first reading

Engagement

47 posts held, back to 31 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 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
55.3%
avg views ÷ 10,948 subscribers
Avg views / post
6,050
9 posts measured
Reaction rate
0.641%
reactions ÷ views · ER floor
Posts in window
9
of 47 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 31 August 2026
Posts held47 (31 July 202631 August 2026)
Views total54,480
Reactions total349
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 20:36 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

2,814 reactions across 47 posts, in 4 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 60033885233678943061,04937.3%
custom 52717938744555026461,04437.1%
custom 535755131036108404257220.3%
custom 53979397182288108011495.29%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 47 of the 47 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 2,814 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 31 July 2026 to 31 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

31 Aug 2026, 11:44 UTC≈2,690 views38 reactionsread 1 September 2026

September-December topics: headphones 🎧: https://www.instagram.com/reel/Dcs__n3NgZU/?igsi=MW00M3R3anh0cjQxbA== A Band 9.0 response

custom 527179387445550264627custom 600338852336789430611

28 Aug 2026, 14:50 UTC≈4,050 views25 reactionsread 1 September 2026
File

#part2 Part 2 — A concert you didn't like — September-December @sanokulovs_speaking

custom 600338852336789430621custom 52717938744555026464

27 Aug 2026, 15:54 UTC≈5,320 views51 reactionsread 1 September 2026

IELTS Speaking Part 1 — Topics 1. Team Sports 2. Listening to Music 3. Keys 4. Watches 5. Social Media 6. Hobbies 7. Outer Space 8. Street Market 9. Art 10. Science 11. Puzzles 12. Shopping 13. Singing 14. Memory 15. Daily Routine 16. Walking 17. Films/Movies 18. Reading 19. Bags 20. Sitting IELTS Speaking Part 2 — Topics 1. Describe a day out which didn't cost a lot 2. Making a decision that positively changed your

custom 527179387445550264632custom 600338852336789430619

27 Aug 2026, 15:27 UTC≈14,400 views23 reactionsread 1 September 2026
Photo

IELTS Writing Task 1 — Process Diagram (Band 8-9 sample) The diagram illustrates the stages involved in manufacturing soft cheese, from the initial mixing of raw ingredients through to the final cooled product. Overall, the process transforms a liquid mixture of water and milk into a solid dairy product through a series of alternating heating and cooling stages, with temperatures ranging dramatically from 5°C to 100

custom 600338852336789430616custom 52717938744555026467

27 Aug 2026, 15:20 UTC≈3,330 views16 reactionsread 1 September 2026
File

#part2 Part 2 — An interesting video — September-December @sanokulovs_speaking

custom 527179387445550264614custom 60033885233678943062

27 Aug 2026, 15:02 UTC≈3,370 views21 reactionsread 1 September 2026
File

#Part2 - DESCRIBE A BICYCLE/MOTORBIKE/CAR TRIP YOU WANT TO TAKE

custom 600338852336789430615custom 52717938744555026466

27 Aug 2026, 13:50 UTC≈3,730 views81 reactionsread 1 September 2026

I just connected ClaudeAI to the channel as an admin, so there might be a couple of 'probe' posts:)

custom 527179387445550264652custom 600338852336789430629

27 Aug 2026, 13:41 UTC≈4,890 views41 reactionsread 1 September 2026

🎙 Top 3 tips for IELTS Speaking Part 3 Part 3 isn't about sounding smart — it's about discussing ideas the way a fluent speaker naturally would. Here's what actually moves the needle: 1️⃣ Explain the "why," not just the "what" A one-line answer signals you're done thinking. Extend it with a reason before moving on. ❌ "Yes, I think advertising has a big influence on children." ✅ "Yes, I think advertising has a big

custom 527179387445550264631custom 600338852336789430610

27 Aug 2026, 10:14 UTC≈12,700 views53 reactionsread 1 September 2026
File

#part1 Sorry for being inactive for a couple of days:) I'm finally back part 1 — Sitting — September-December @sanokulovs_speaking Join the speaking marathon to get 150 such files:)

custom 600338852336789430641custom 527179387445550264612

21 Aug 2026, 16:01 UTC≈8,110 views79 reactionsread 1 September 2026
Photo

You can have access to all of these for just 67,000UZS — one time payment, permanent access. Payment details here

custom 527179387445550264659custom 600338852336789430620

20 Aug 2026, 10:29 UTC≈8,230 views92 reactionsread 1 September 2026

I'm trying to understand YouTube algorithm. Can you please watch this 20-sec video, like and leave a comment: https://youtube.com/shorts/A1xY-9id_so

custom 600338852336789430668custom 527179387445550264624

20 Aug 2026, 10:18 UTC≈25,100 views96 reactionsread 1 September 2026

One thing you should always keep in mind is the human factor in the IELTS speaking test. I always tell my students to be interesting in the exam. Being an IELTS examiner isn't an exciting job, honestly. Imagine hearing the same boring-as* answer every single time from hundreds of candidates. If you make your examiner's a little better by being fun and interesting, you'll definitely get a higher score. One way to d

custom 600338852336789430670custom 527179387445550264626

Showing the 12 most recent of 47 posts we hold for @sanokulovs_speaking. 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 edited after publishing

@sanokulovs_speaking edited 1 post 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
29 August 2026
Most recent edit
29 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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

“SANOKULOV'S SPEAKING SAMPLES” (@sanokulovs_speaking), 10,948 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/sanokulovs_speaking.

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.