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Telegram profile photo for Muhammad Nabiev | 8.0

Channel

Muhammad Nabiev | 8.0

@muhammad_blogging

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

358subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001918361352
TypeChannel
Username@muhammad_blogging
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/muhammad_blogging

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 11 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 1 other registered channel. They sit inside a group of 3 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@abbosali027 (7/7 hand-verifiable sample passed)1.0035 minutesthis entry (61)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 15 July 2026 to 5 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 3, the earliest publisher we hold is @abbosali02. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 2 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

3553593576 August 2026 — 358 subscribers6 August 2026 — 358 subscribers14 August 2026 — 355 subscribers21 August 2026 — 357 subscribers27 August 2026 — 359 subscribers2 September 2026 — 358 subscribers3586 August 20262 September 2026
6 measurements spanning 27 days. 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 354–360 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 17:35358-1
27 Aug 2026, 16:47359+2
21 Aug 2026, 16:22357+2
14 Aug 2026, 13:15355-3
6 Aug 2026, 21:03358no change
6 Aug 2026, 19:30358first reading

Engagement

15 posts held, back to 15 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

143 reactions across 14 posts, in 17 distinct kinds. The most used accounts for 23.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 54701623979247025903423.8%
1812.6%
1611.2%
🔥1510.5%
custom 5465178805637226937139.09%
👍139.09%
😁106.99%
❤‍🔥53.50%
🌚42.80%
👏42.80%
🆒32.10%
🤝21.40%
🦄21.40%
🐳10.699%
💯10.699%
😢10.699%
🥰10.699%

Custom emoji. 2 of the rows above are 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 14 of the 15 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 143 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 15 July 2026 to 5 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

5 Aug 2026, 09:02 UTC132 views3 reactionsread 6 August 2026
Photo

📢Need help? I am here ⭐ Now, you can get both writing and speaking checked by me and classes for both speaking and writing 🗒️ It is absolutely FREE 🆓 EVERY FRIDAY--WRITING ✍ EVERY TUESDAY --SPEAKING 🎤 The audio explains how it works 🗣 @IELTSwithAnvarU @IELTSwithAnvarU

👍3

31 Jul 2026, 08:59 UTC279 views22 reactionsread 6 August 2026
Video

Every man who respects himself should work out🏋️ 120kg —> way to go Happy Juma!

custom 5470162397924702590154❤‍🔥1👍1💯1

26 Jul 2026, 06:52 UTC448 views24 reactionsread 6 August 2026

Itachi is watching. Don’t cheat!

😁10🔥6🌚4custom 54651788056372269373custom 54701623979247025901

24 Jul 2026, 14:10 UTC266 views8 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Sardor Baxtiyor #results #sevenpointfive #2026 #twenty_six Mentored by: Tilavov Akbarshokh & Nabiev Muhammadshokh & Abbosali Sodikov & Ms Marjona An Outstanding Achievement! 🔥 Congratulations to our student on achieving an exceptional IELTS Listening 8.5 and Reading 8.5! 🥇 Just 0.5 away from an Overall Band 8.0, Sardor has demonstrated an extraordinary level of English proficiency. These outstanding scores ar

4👍2custom 54651788056372269372

24 Jul 2026, 14:10 UTC169 views5 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Samir Nusratov #results #sevenpointfive #2026 #twenty_six Mentored by: Abbosali Sodikov & Tilavov Akbarshokh & Nabiev Muhammadshokh 🔥 Another Outstanding Achievement! Congratulations to our student on achieving an exceptional Writing: 7.5 | Reading: 7.5 | Speaking: 7.5 Samir's journey is a powerful example of how changing your habits can change your future. ⚙️ 📷T here was a time when he spent far too much time o

👍3🐳1custom 54701623979247025901

24 Jul 2026, 14:08 UTC137 views3 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Sayid Ali #results #sevenpointfive #2026 #twenty_six Mentored by: Abbosali Sodikov & Tilavov Akbarshokh & Nabiev Muhammadshokh 🔥 An Incredible Band 7.5! 🔥 Congratulations to our student on achieving an outstanding IELTS Overall Band 7.5! 🥇 Listening: 8.5 | Reading: 8.0 | Speaking: 7.0 Sayid Ali has always been the mischievous one 😂—the kind of student who could make everyone laugh and keep the classroom lively.

❤‍🔥3

24 Jul 2026, 14:03 UTC158 views7 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Azizbek Bahriddinov #results #seven #2026 #twenty_six Mentored by: Abbosali Sodikov & Tilavov Akbarshokh & Nabiev Muhammadshokh 🔥 Another Band 7⃣! Congratulations to our student on achieving an outstanding IELTS Overall Band 7.0! 🥇 Yes, we were expecting an even higher score—and that speaks volumes about Azizbek's potential. Nevertheless, an Overall Band 7.0 is an incredible achievement that reflects his strong a

custom 54651788056372269373🦄2❤‍🔥1🥰1

24 Jul 2026, 14:02 UTC164 views4 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Jahongir Karimov #results #seven #2026 #twenty_six Mentored by: Tilavov Akbarshokh & Nabiev Muhammadshokh & Abbosali Sodikov 🔥 Another Band 7⃣ Congratulations to our student on achieving an outstanding IELTS Overall Band 7.0! 🥇 Jahongir's journey is a reminder that first impressions never define the finish line. When he first joined us, he wasn't particularly interested in studying and often lacked motivation. B

🔥3👍1

24 Jul 2026, 13:53 UTC147 views6 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Yoqubjon G'ulomov #results #seven #2026 #twenty_six Mentored by Abbosali Sodikov & Tilavov Akbarshokh & Nabiev Muhammadshokh 🔥 Another Band 7⃣! A Band 7.0 is not simply a score; it is the result of months of dedication, resilience, and countless hours of focused preparation. We are incredibly proud of your accomplishment and confident that this is only the first of many milestones ahead. Congratulations once ag

42

20 Jul 2026, 06:24 UTC466 views27 reactionsread 6 August 2026

Overthinking creates more problems than it solves. -Chris Willx #quote

custom 547016239792470259016custom 546517880563722693753👍2😢1

17 Jul 2026, 08:36 UTC339 views5 reactionsread 6 August 2026
Forwarded from @trivera_schoolPhoto

Jahongir Yunusov #results #seven #2026 #twenty_six Mentored by: Abbosali Sodikov & Tilavov Akbarshokh & Nabiev Muhammadshokh 🥳 Another dream turned into reality! Congratulations to our student on achieving an IELTS Overall Band 7.0! 🏆 This result is the reward for months of dedication, discipline, and hard work. Every lesson, every mock test, and every hour of preparation has led to this incredible achievement.

🆒3👍1custom 54701623979247025901

Showing the 12 most recent of 15 posts we hold for @muhammad_blogging. 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 4 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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“Muhammad Nabiev | 8.0” (@muhammad_blogging), 358 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/muhammad_blogging.

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.