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Channel
@AcademicVault_MY
On this record: Growth · Engagement · Posts · Citations · Cite this entry
326subscribers
+31 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004301909933 |
|---|---|
| Type | Channel |
| Username | @AcademicVault_MY |
| Created | 27 June 2026 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/AcademicVault_MY |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 07:51 | 326 | +31 |
| 10 Aug 2026, 16:15 | 295 | no change |
| 10 Aug 2026, 16:02 | 295 | first reading |
12 posts held, back to 27 June 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 12 (27 June 2026 – 10 August 2026) |
| Views total | 851 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 16:15 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.
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Signed amirul
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Signed amirul
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Signed amirul
before and after humanize ✅
Signed amirul
Nampaknya ramai yang confuse between AI percentage and similarity. AI percentage: Ni bila pakai AI for writing, so report akan tunjuk berapa persen AI yang digunakan dalam penulisan. Similarity: Ni bila copy paste ayat dari article lain, percentage akan tunjuk berapa persen plagiarism dalam penulisan. Dua ni lain. Ada universiti just nak report plagiarism dan ada universiti yang nak dua-dua report. So please make…
Signed amirul
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“ miko, boleh check turnitin bm tak ? “ “ miko kenapa percentage ai saya tinggi dekat zeroGPT, turnitin rendah ” Ramai ingat Turnitin cuma check English. Sebenarnya similarity checker dia boleh semak banyak bahasa termasuk Bahasa Melayu. Cuma AI detector dia paling kuat untuk English. Untuk BM dan bahasa lain, ketepatan masih belum sama tahap. Jadi jangan terlalu percaya dengan skor AI tu, be confident je kalau b…
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📌 𝐼𝑚𝑝𝑜𝑟𝑡𝑎𝑛𝑡 𝑁𝑜𝑡𝑒 𝑓𝑜𝑟 𝐴𝑙𝑙 𝑈𝑠𝑒𝑟𝑠 Please understand that Plagiarism Checking and AI Detection are two different systems. ✅ Plagiarism Check Used to identify similarities between your assignment/report and existing sources such as websites, articles, or previously submitted work. ✅ AI Detection Used to analyse whether AI tools may have been involved in writing or generating parts of the assignment. 𝐻𝑜𝑝𝑒 𝑡ℎ𝑖𝑠 𝑒𝑥𝑝𝑙𝑎𝑛𝑎𝑡𝑖…
Channel created
Showing the 12 most recent of 12 posts we hold for @AcademicVault_MY. 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.
Citation-graph rank — 947,775 of 1,480,944entries 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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“TURNITIN SERVICE STUDENTS” (@AcademicVault_MY), 326 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/AcademicVault_MY.
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.