4 measurements spanning 7 days, net +1. 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 5,637–5,644 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 01:46
5,643
+3
11 Aug 2026, 22:52
5,640
+2
9 Aug 2026, 02:11
5,638
-4
8 Aug 2026, 04:30
5,642
first reading
Engagement
18 posts held, back to 5 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.2%
avg views ÷ 5,643 subscribers
Avg views / post
912
18 posts measured
Reaction rate
0.933%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 15 of 18 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 11 August 2026
Posts held
18 (5 August 2026 – 11 August 2026)
Views total
16,414
Reactions total
129
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:02 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
Video runtime
12s
Average length
4s
Measured directly from 3 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
129 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 87.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
113
87.6%
😱
8
6.20%
👀
2
1.55%
🔥
2
1.55%
🌚
1
0.775%
🍓
1
0.775%
🎉
1
0.775%
🤓
1
0.775%
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 18 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 129reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 5 August 2026 to 11 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.
SEIZE THE DAY, PUSSY SLAY.
🔠🔠🔠🔠🔠🔠🔠
🔠🔠
🔠🔠🔠🔠
🔠🔠🔠🔠🔠 NOW ‼️
while we still hv slots before the new J1s FLOOD IN 😝🚀
IF UR TINY BRAIN IS WHISPERING TO U: "i needa think about it.. " 🤔‼️
I UNDERSTAND 🍅
BUT, ISN'T IT SELF-SABOTAGE ?! 😭
Here's the irony: by delaying fixing ur GP, to ponder, you're preparing urself for a BIG SHIT SHOW OTTOKE 😭🤮
Cuz ALL ur misconceptions , and THE GP CLUELESSNESS ALWAYS 🔠🔠🔠🔠🔠🔠🔠🔠
🌟🌟🌟
…
PEEK OUR THROWBACK CLASS
lowkey the moST INTERESTING SHIT EVAA
● IN-CLASS FULL PARAGRAPH WRITING & COMPREHENSIVE 1-1 FEEDBACK IN BREAKOUT ROOMS
(breakout rooms so tiny, our markers rmb ur name & ur writing style like the back of our hands)
● breakdown of the trickier ALVL 2025 QNS so u don’t fall in the same hole as any of your horror story seniors
● DEEP DIVE INTO NORTH KOREAN EDUCATION SYSTEMS .. the hermit k…
YAY we’ll be analysing the 2025 Alvl qns tested & why were some so cancerous
PLUS HOW YOU CAN TACKLE ANY OF THEM if weird qns come up this prelim promos heheh
the writing hacks & systems I’ll reveal to u in class will radically change your thinking about GP essays, so u get 24/30 for content MINIMALLY
Its a muchhh more sophisticated way of standing out on this hypercompetitive alvl bellcurve
my fav framework that…
GPMLS Writing Tip: How to make good arguments 🩷
POV: you’re planning for an essay, and you have loads of good ideas - concepts like “globalisation” and “heritage conservation” and “gentrification” keep popping up.
You write them all down on the question paper, and you’re thinking of what arguments to make - but you just can’t seem to connect all your ideas and write down arguments in a straightforward fashion. 💔💔
…
GPMLS Writing Tip: What exactly is evaluation?
An essay body paragraph has four components:
1️⃣a topic sentence (consisting of your stance, and the reason for your stance)
2️⃣a brief description of trends/ relationships/ processes related to your argument in the topic sentence
3️⃣two case studies illustrating your point
4️⃣evaluation of these case studies (referencing the trends/ relationships/ processes you men…
you’re right to doubt me…why go for our throwback class now leh⁉️
the writing hacks & systems I’ll reveal to u in class will radically change your thinking about GP essays, so u get 24/30 for content MINIMALLY
Its a muchhh more sophisticated way of standing out on this hypercompetitive alvl bellcurve 🥹
my fav framework that gives YOU reliable & predictable results for GP so u finally know when you put in 5 hours r…
PAPER 2 FREE TRIALS
🤑HAX ON HOW TO WRITE SUMMARIES so u stop under paraphrasing or OVERTHINKING, so u finally write answers that Cambridge grandma markers CRAVE TO SEE🙌🏻🔥
💔IS THERE A CHEATING EPIDEMIC IN SG? WHY IS THIS HAPPENING 🥲😖😱
- KEY SG TRAITS TO EXPLAIN THIS PHENOMENON 🤨🤫
POLICING OF PUBLIC SPACES IN SG? 😱 TFW the government is upset when the public is at a public space 😭
🔥1x MODEL AQ 🔥
SNATCH UR FREE TR…
wtf, AI companies are destroying books now? 📖😭
The unsealing of internal corporate documents from AI developer Anthropic (most notably detailing a secretive effort dubbed "Project Panama") exposed a HUGE PROBLEM at the bleeding edge of artificial intelligence 💔
To build systems capable of fluid human prose and complex reasoning, tech giants are turning to physical paper-and-ink books 📕
Their method got exposed thi…
I am sorry to tell u that you have been lied to for a very long time!
Note that I didn’t use softer words like “misled” or “misinformed”.. nope I laid it straight & plain
You’ve been LIED TO
it’s critical to ur prelims & promo results that I open ur eyes to this fact!
& I hope you’re actually interested in the blunt truth about what top GP scorers SECRETLY DO to create top 41/50 grades‼️
EVEN IF U FEEL IT’S IMPO…
New cheating scandal. Again.
PAPER 2 FREE TRIALS
🤑HAX ON HOW TO WRITE SUMMARIES so u stop under paraphrasing or OVERTHINKING, so u finally write answers that Cambridge grandma markers CRAVE TO SEE🙌🏻🔥
💔IS THERE A CHEATING EPIDEMIC IN SG? WHY IS THIS HAPPENING 🥲😖😱
- KEY SG TRAITS TO EXPLAIN THIS PHENOMENON 🤨🤫
POLICING OF PUBLIC SPACES IN SG? 😱 TFW the government is upset when the public is at a public space 😭
🔥1x …
Showing the 12 most recent of 18 posts we hold for @gpmls. 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
Citation-graph rank — 550,452 of 1,350,102entries 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.
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.
Declared links
4 URLs this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“🍅 GP MY LAST STRAW 📓” (@gpmls), 5,643 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/gpmls.
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.