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 21 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
7 measurements spanning 36 days, net -26. 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 468–502 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 20:15
472
-10
3 Sept 2026, 08:59
482
-2
28 Aug 2026, 00:37
484
-3
21 Aug 2026, 00:41
487
-5
14 Aug 2026, 18:36
492
-6
7 Aug 2026, 07:46
498
no change
7 Aug 2026, 07:35
498
first reading
Engagement
14 posts held, back to 12 April 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 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 14 posts for this entry, the most recent from 29 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
49 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 44.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
22
44.9%
❤
12
24.5%
🐳
5
10.2%
🤡
5
10.2%
🎉
1
2.04%
👍
1
2.04%
👎
1
2.04%
😍
1
2.04%
🤝
1
2.04%
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 14 of the 14 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 14 most recent posts we hold, published 12 April 2026 to 29 July 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.
Ko'pchilik speakingda pauza qilish normal deb o'ylaydi — aynan shu ballni pasaytiryapti.
😓 Sizning pauzalaringiz ballingizga qanday ta'sir qilishini bilasizmi?
SpeakPro AI Examiner bilan bu sirni oching va 6.0 dan 7.0+ ga o'tish yo'lini toping.
Saqlab qo'ying 🔖 va IELTS topshirayotgan do'stingizga yuboring.
Batafsil: speakpro.uz
Grammatikangiz zo'r. Lekin ball oshmayapti.
Repetitor "zo'r gapiryapsan" deydi. Mock testda o'zingizga yoqadi.
Lekin imtihondan chiqasiz — yana 6.0.
Xuddi o'sha his. Xuddi o'sha savol:
"Men nimani noto'g'ri qilyapman?"
Muammo grammatikada emas. Examiner sizning fikrni kengaytirishingizni, to'xtamay gapirishingizni, tabiiy intonatsiyangizni baholaydi.
Ko'pchilik bu detallarni bilmaydi — shuning uchun ball bir joyd…
Grammatikangiz zo'r. Lekin ball oshmayapti.
Repetitor "zo'r gapiryapsan" deydi. Mock testda o'zingizga yoqadi. Lekin imtihondan chiqasiz — yana 6.0.
Xuddi o'sha his. Xuddi o'sha savol: "Men nimani noto'g'ri qilyapman?"
Muammo grammatikada emas. Examiner sizning fikrni kengaytirishingizni, to'xtamay gapirishingizni, tabiiy intonatsiyangizni baholaydi.
Repetitor buni aytmaydi — chunki ko'nglingizni og'ritgisi kelma…
Fikr bor. Lekin inglizchaga tarjima qilolmaysiz.
Miyangizdagi g'oyani topib, uni to'g'ri so'zlarga o'girishga urinib, jim qoldingiz.
Bu esa sizning Fluency & Coherence ballingizni pasaytiradi. Natijada, Band 6.0'dan o'tolmaysiz.
IELTS Speaking imtihoni — bu tarjima musobaqasi emas. Har bir fikrni avval o'zbek tilida shakllantirib, keyin inglizchaga tarjima qilish — suhbatni sun'iy va sekin qiladi.
Aslida, siz ing…
AI Ustozingiz sizga o'zi yozib bugungi darsingiz haqida eslatadi, yana bir katta qulaylik!
AI Ustoz bepulga sizning speaking darajangizni oshirib beradi.
Haligacha qo'shilmagan bo'lsangiz, ishoning ko'p narsa yo'qotyapsiz.
Hoziroq @speakprouzbot ga kiring, /start bosing.
Hammasi tayyor.
Kimga shunaqasidan kerak?
Bexijolat ishlataverasiz - @speakprouzbot
Speakingni oshirish uchun eng qulay ilova. IELTS uchun ham, CEFR uchun ham, eng qaymog'i, umumiy speaking uchun ham sizni tayyorlab beradi.
Qalay zo'rmi?!
Speaking imtihonida qaltirash – bu til bilmaslik emas.
Qarang, siz yillab ingliz tilini o'qiysiz. Grammatikani suv qilib ichgansiz. Lekin examiner oldida nega teringizdan chiqib ketgudek bo'lasiz? Sababi oddiy. Siz gapirishdan emas, xato qilishdan qo'rqasiz.
Qo'rquv hammada bo'ladi. Lekin undan yengilish – yomon odat. O'ziga ishonchni (confidence) oshirish uchun motivatsion illyuziyalardan voz keching. Real qadamla…
Speaking'dan 9.0 olganlarning "maxfiy lug'at"i bor deb o'ylaysizmi?
Aslida unday emas. Ular shunchaki siz va biz qiladigan xatolarni qanday yashirishni yoki ulardan qanday saboq olishni bilishadi. Haqiqiy 9.0 lik natija orqasida qandaydir sehr yo'q, faqat qattiq mehnat va to'g'ri strategiya yotibdi.
Postni dqqat bilan o'qing, tushunib olasiz.
Xo'sh, o'sha cho'qqiga chiqqan Speaking 9.0 ustozning eng muhim 5 tavsiy…
MUHIM XABAR:
Hozirgina admin menga yozdi. 90 kunlik Intensive Speaking kursiga joylar to'lib bo'lgan ekan.
Rejada faqat 12 kishilik maxsus kichik guruh qilish edi. Lekin kursga 16 kishi yozilibdi.
Kursga qiziqish bildirib ilm olishga kirishganingiz yaxshi albatta. Bundan xursandman, lekin men songa emas sifatga ishlashni yaxshi ko'raman.
Bu mening qadriyatlarimdan biri. Shuning uchun faqat birinchi bo'lib qo'shil…
❤1
Showing the 12 most recent of 14 posts we hold for @MotivationLC. 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.
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 14 most recent posts we hold, published 12 April 2026 to 29 July 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
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Motivation LC | SpeakPro AI” (@MotivationLC), 472 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/MotivationLC.
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.