Wenzhou University, China🇨🇳 #Univer_vibe
❤37❤🔥13🔥6🆒3⚡2🐳2👏2😎2

Channel
@Alex_blog_China
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
248subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003038545977 |
|---|---|
| Type | Channel |
| Username | @Alex_blog_China |
| Created | Between 1 August 2025 and 27 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/Alex_blog_China |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 05:38 | 248 | no change |
| 12 Aug 2026, 21:18 | 248 | first reading |
15 posts held, back to 27 October 2025 — 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 pageof 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 10 November 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
1,206 reactions across 15 posts, in 18 distinct kinds. The most used accounts for 45.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 550 | 45.6% | |
| ❤ | 288 | 23.9% | |
| 🆒 | 90 | 7.46% | |
| ⚡ | 73 | 6.05% | |
| 😍 | 50 | 4.15% | |
| 🔥 | 30 | 2.49% | |
| 🤩 | 22 | 1.82% | |
| 😎 | 21 | 1.74% | |
| 👏 | 17 | 1.41% | |
| 😇 | 15 | 1.24% | |
| 🌚 | 14 | 1.16% | |
| 🐳 | 12 | 0.995% | |
| 🎉 | 8 | 0.663% | |
| 👍 | 5 | 0.415% | |
| 💯 | 4 | 0.332% | |
| 🏆 | 3 | 0.249% | |
| 👀 | 3 | 0.249% | |
| 😁 | 1 | 0.083% |
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 15 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 1,206reactions 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 27 October 2025 to 10 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Alex_blog_China. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 15 most recent posts we hold for this entry, published 27 October 2025 to 10 November 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Wenzhou University, China🇨🇳 #Univer_vibe
❤37❤🔥13🔥6🆒3⚡2🐳2👏2😎2
Menimcha, bundan oldin bunchali kop sòzli essay yozmaganman😅. Lekin aniq analyze qilishga arziydi. Task response is indeed 9.0😎
❤30⚡3🔥3🐳2
Question: Some people think that the best way to improve road safety is to increase the minimum legal age for driving a car or motorbike. To what extent do you agree or disagree? Road safety remains a pressing public concern, with traffic collisions ranking among the leading causes of mortality worldwide. In response, some argue that raising the minimum legal driving age would significantly reduce accidents, given t…
❤15🆒4🔥3
#Writing_tip Agar sizning writing darajangiz 6.5, 7.0 or 7.5 bòlsa, shunchaki essay yozishni tòxtating va asosiy focusni gramatika va collocations usage’ga qarating‼️
❤18🔥2
Question: Some argue that it is the responsibility of the parents to teach children about healthy eating habits, whereas others believe that teachers should be responsible for teaching their students how to eat in a healthy way. Discuss both views and give your own opinion. Some people claim that parents should assume full responsibility for instilling healthy eating habits in their children, while others maintain t…
❤🔥11❤1🔥1🆒1
Guys, aytgancha menda bularni chalishga aancha yillik tajriba bor😁. 3 sinfligimda chalishni organishni boshlaganman😅. UZB’ga qaytasam alohida kanal ochaman, masterclass’larni share qilish uchun😁. BTW, guitar ham bor. Bularni tòliq chalishni bilaman. Shunchaki qiziqish…
❤59❤🔥12😍9👏7⚡3🆒3🔥2🤩2
Examiner'ni hayratda qoldiradigan mana shunday collocation'larni 20 ta eeng asosiy va ko'p uchraydigan category'larga bo'lib, har bir category uchun 30 tadan C2-level collocations to'plab chiqdim. Yoqqan bòlsa - ⚡️
⚡50❤9🎉2🐳1🔥1😍1🆒1
#Writing_task2 Studentlarning 90%ini essay yozolmasligini, yozsa ham yuqori ball ololmasligini asosiy sabablaridan biri bu "lexical resource" ya'ni lug'at darajasi yetishmasligidandir. Eng yomoni, o'quvchilar writing uchun keraksiz yoki aloqador bo'lmagan lug'atlarni yodlashadi va hech qanday natijaga chiqisholmaydi. IELTS Writing'da "lexical resource" criteria bo'yicha 3 marta ketma-ket band 9 olganman. Shu vaqtga…
❤🔥93❤5🆒4⚡3🎉2🌚1🐳1👍1
Mubina bn IELTS 9ga tayyorgarlik boshlayapmiz
❤62❤🔥12⚡5😍3😎3👍2🔥2🎉1
Speaking practice time🗣️ Atmosphere’ga baho beringchi - ❤️🔥
❤🔥46😍9🐳3😇3⚡1🎉1👍1👏1
Post tashlashga idea kelmadi😁🤦♂️ But I miss her(🤩) soo much❤️🩹😁
❤🔥77😍16🌚11❤10😎10🆒5⚡3🔥3
Rain🌧️☂️
❤🔥64❤23🤩9😍7😇5🔥3🆒3🐳2
Showing the 12 most recent of 15 posts we hold for @Alex_blog_China. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 1,451,026 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Alex’s blog | China🇨🇳” (@Alex_blog_China), 248 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Alex_blog_China.
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.