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For any enquiries, please directly ask in our discussion group ✨
Created
Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 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.
Growth
40 measurements spanning 69 days, net +2,435. 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 36,037–39,202 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)
Subscribers
Change
15 Oct 2026, 15:56
38,837
+17
14 Oct 2026, 16:10
38,820
+62
13 Oct 2026, 04:28
38,758
+200
9 Oct 2026, 01:17
38,558
+118
4 Oct 2026, 16:00
38,440
+302
26 Sept 2026, 13:39
38,138
+266
19 Sept 2026, 10:59
37,872
+102
17 Sept 2026, 02:59
37,770
+73
15 Sept 2026, 00:18
37,697
+64
13 Sept 2026, 07:16
37,633
+54
11 Sept 2026, 08:17
37,579
+56
8 Sept 2026, 16:41
37,523
+128
5 Sept 2026, 10:55
37,395
+63
3 Sept 2026, 12:18
37,332
+65
2 Sept 2026, 05:17
37,267
+52
1 Sept 2026, 08:13
37,215
+23
31 Aug 2026, 05:08
37,192
+29
30 Aug 2026, 08:05
37,163
+24
29 Aug 2026, 10:32
37,139
+44
28 Aug 2026, 07:53
37,095
first reading
Engagement
486 posts held, back to 7 August 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 129 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.13%
avg views ÷ 38,837 subscribers
Avg views / post
1,990
232 posts measured
Reaction rate
0.34%
reactions ÷ views · ER floor
Posts in window
235
of 486 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. It is computed over the 155 of 232 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 16 October 2026
Posts held
486 (7 August 2026 – 16 October 2026)
Views total
461,947
Reactions total
1,106
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Oct 2026, 05:51 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.
What this channel posts
Photos
≈4,580
Videos
≈66
Links
≈763
Lifetime counters from Telegram’s own channel header, read 16 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 52s
Average length
1m 26s
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.
Reaction mix
2,571 reactions across 266 posts, in 14 distinct kinds. The most used accounts for 76.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,956
76.1%
😭
253
9.84%
🔥
114
4.43%
💔
77
2.99%
👍
58
2.26%
😱
33
1.28%
🥰
31
1.21%
🤯
15
0.583%
💯
13
0.506%
😍
10
0.389%
😁
7
0.272%
🆒
2
0.078%
👏
1
0.039%
🤔
1
0.039%
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 329 of the 486 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 2,571 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 486 most recent posts we hold, published 7 August 2026 to 16 October 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.
Hi guys, I have served as an admin in SPMNETIC for around 2 years...Now I have decided to quit my post as an admin as I am having some problems, sorry batch 09 for unable to help until SPM...I hope yall do your best For SPM and make your Parents proud...DONT SAY ONE DAY I WILL START, BUT START TODAY AND MAKE IT DAY ONE...REMEMBER we all have spent more than 10 years in school for this one certificate...Please lah lis…
Countdown SPM:
39 days left (5 minggu 4 hari)
You don’t have to be motivated every day. On the days when you have nothing left, just remind yourself: you’ve come this far, and you deserve to see how far you can go - sasayang
Alright, guys, that's all for today's session! 😭🧪🫶🏻
Thank you for joining and participating in today's quiz. I hope you learned something new and had fun along the way. HAHAHA 💗
Please review your mistakes, revise what you've learned, and don't forget to take care of yourselves. If you're tired, get some proper rest, yaa! 💤
If you have any questions, feel free to ask in the Discussion Group. Don't be afraid to ask …
🧪 FORM 5 CHEMISTRY — CHAPTER 5
Structured Essay Question: Consumer and Industrial Chemistry
Question / Soalan
Ammonia is manufactured industrially through the Haber Process.
Ammonia dihasilkan secara industri melalui Proses Haber.
(a) Write the balanced chemical equation for the Haber Process.
Tuliskan persamaan kimia seimbang bagi Proses Haber. [2 marks / 2 markah]
(b) State the catalyst used in the Haber Process…
🧪 A. MORE QUIZZES — keep the academic suffering going HAHAHA 💪🏻80%
😴 B. SLEEP — Chemistry can wait, my bed is calling 🛌💤25%
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
my fellow people 😭🫶🏻 please send your CAPTCHA code in the Discussion Group if you haven't done so yet, ya! thank youuu💗
Signed ᥫ᭡𝐴𝑟𝑎𝑏𝑒𝑙𝑙𝑒
Showing the 12 most recent of 486 posts we hold for @chemistryspmnotes. 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 6 most recent of 157 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
🧪 A. MORE QUIZZES — keep the academic suffering going HAHAHA 💪🏻80%
😴 B. SLEEP — Chemistry can wait, my bed is calling 🛌💤25%
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Q15. Apakah langkah yang paling sesuai untuk mengurangkan kesan negatif bahan kimia industri terhadap alam sekitar?
What is the most suitable measure to reduce the negative environmental impacts of industrial chemicals?
A. Membuang sisa kimia terus ke sungai / Discharging chemical waste directly into rivers6%
B. Merawat sisa industri sebelum dilepaskan / Treating industrial waste before discharge92%
C. Menyembunyikan sisa di belakang kantin sekolah 💀 / Hiding waste behind the school canteen1%
D. Berpura-pura tidak nampak pencemaran / Pretending not to notice pollution1%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Q11. Apakah pemangkin yang digunakan dalam Proses Haber?
Which catalyst is used in the Haber Process?
A. Besi / Iron45%
B. Kuprum / Copper45%
C. Perak / Silver8%
D. Emas / Gold2%
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 486 most recent posts we hold, published 7 August 2026 to 16 October 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@chemistryspmnotes named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@cikguadura named in 1 post, 23 August 2026 – 23 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Biology Spmnetic!™ 🔬 @biologyspmnotes · 32,518 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 6 September 2026
AddMath Spmnetic!™⚡️ @addmathspmnotes · 37,728 Telegram ranks this channel #1 of 63 here — alongside 62 others — read 2 September 2026
Amazing Physics🥰 @alinaimanarif · 20,107 Telegram ranks this channel #2 of 56 here — alongside 55 others — read 30 September 2026
Physics Spmnetic!™ 🔭 @physicsspmnotes · 29,244 Telegram ranks this channel #2 of 59 here — alongside 58 others — read 10 September 2026
Mathematics Spmnetic!™ 🔢 @mathematicspmnotes · 38,896 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 1 September 2026
Sejarah spmnetic!™ @sejarahspmnotes · 69,382 Telegram ranks this channel #6 of 67 here — alongside 66 others — read 21 August 2026
English Spmnetic!™ 📝 @englishspmnotes · 36,506 Telegram ranks this channel #8 of 61 here — alongside 60 others — read 2 September 2026
Pendidikan Islam Spmnetic!™ 🧕🏻 @pendidikanislamspmnotes · 21,664 Telegram ranks this channel #12 of 66 here — alongside 65 others — read 24 September 2026
Cikgu Farhan Math 🇵🇸 #cikgufa @cikgufarhanmath · 46,601 Telegram ranks this channel #13 of 69 here — alongside 68 others — read 28 August 2026
Bahan Fizik SPM 📚 @bahanfizikspm · 33,957 Telegram ranks this channel #16 of 67 here — alongside 66 others — read 6 September 2026
PerkasaSPM2024 | #JomBangkit @PerkasaSPM · 26,044 Telegram ranks this channel #25 of 71 here — alongside 70 others — read 13 September 2026
Soalan Percubaan SPM ✍ @soalanpercubaanspm · 255,300 Telegram ranks this channel #34 of 72 here — alongside 71 others — read 13 August 2026
Bahasa Melayu Spmnetic!™ 📑 @bahasamelayuspmnotes · 51,950 Telegram ranks this channel #35 of 80 here — alongside 79 others — read 25 August 2026
Bank Soalan SPM @BankSoalanPeperiksaanSPM · 50,207 Telegram ranks this channel #36 of 68 here — alongside 67 others — read 26 August 2026
𝘕𝘖𝘛𝘈 & 𝘔𝘖𝘋𝘜𝘓 𝘚𝘗𝘔 𝘒𝘚𝘚𝘔 08 // 09 ♡︎ 🇲🇾🇵🇸 @spmstudytips · 110,194 Telegram ranks this channel #48 of 75 here — alongside 74 others — read 15 August 2026
Cikgu Fazlie Biosensei😎 @cikgufazliebiosensei · 59,726 Telegram ranks this channel #52 of 72 here — alongside 71 others — read 24 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 October 2026 — this
entry's latest reading, not the date you are reading this.
“Chemistry Spmnetic!™ 🧪” (@chemistryspmnotes), 38,837 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/chemistryspmnotes.
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.