Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 57% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
12,800 average views per post against 12,348 subscribers — an engagement rate of 103.7%. Across the 6,344 registered channels in the same cohort — 10,002–31,609 subscribers, posting mainly in English — the middle half sit between 2.73% and 15.7%, with a median of 7.33%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
16 of 16 published in the window (0 exact, 16 rounded by Telegram)
Views totalled
204,920
Mature posts only
114.9% over 13 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
5 measurements spanning 4 days, net +401. 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 11,887–12,408 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 00:02
12,348
+209
10 Aug 2026, 20:58
12,139
+121
9 Aug 2026, 20:31
12,018
+56
8 Aug 2026, 18:16
11,962
+15
7 Aug 2026, 23:02
11,947
first reading
Engagement
24 posts held, back to 23 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 13 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
103.7%
avg views ÷ 12,348 subscribers
Avg views / post
12,800
16 posts measured
Reaction rate
0.363%
reactions ÷ views · ER floor
Posts in window
16
of 24 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
24 (23 June 2026 – 12 August 2026)
Views total
204,920
Reactions total
743
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 12:32 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
67
Videos
4
Links
100
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
956 reactions across 24 posts, in 21 distinct kinds. The most used accounts for 83.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
794
83.1%
👍
41
4.29%
😢
40
4.18%
🔥
27
2.82%
💯
14
1.46%
🥴
5
0.523%
👻
4
0.418%
🫡
4
0.418%
🍓
3
0.314%
👀
3
0.314%
🙏
3
0.314%
🤩
3
0.314%
🥰
3
0.314%
🎅
2
0.209%
🎉
2
0.209%
💋
2
0.209%
💘
2
0.209%
🐳
1
0.105%
👌
1
0.105%
🕊
1
0.105%
1 further kind
1
0.105%
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 24 of the 24 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 956reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 23 June 2026 to 12 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.
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Tutorial registration results are already mostly visible at this time, ahead of the official release! As sort of a loophole, you can unofficially view these at: Edurec CourseReg > Drop Classes
You will see a list of classes, including both lectures and tutorials for each course. If it is empty, it likely means you have fallen to what seniors have dubbed “tutrekt”, which means you lost out to others and probably shou…
🚨Tutorial registration has opened and ends at 5 p.m. today. Note that you can still edit your choices after pressing “continue”.
Do prepare sufficient backups, as it is common to not get your preferred choices. Naturally, certain slots e.g. those after a lecture may be more popular. Rank strategically if you know that slots you want are popular (this could either mean ranking them in better positions to stand a chan…
🚨 Tutorial Registration Round 1 opens on August 11, 9 a.m. and closes at 5 p.m.
Unlike CourseReg, the window for tutorial registration is much shorter — ending at 5 p.m. the same day.
—-
Re-sharing this: Below is a message on the balloting process that has been passed down by various NUS seniors! Note that “courses” used to be referred to as “mods”:
“Balloting process
How to ballot like a senior
(by sam chan)
Fi…
Round 3 CourseReg results are out!
What happens if I still do not secure courses I need?
You may begin appealing to your course's host department through CourseReg@EduRec (“Submit Appeals/Inquiries”). Limited reasons are accepted for appeals. You may attempt this if you have any extenuating circumstances.
If a course is required for graduation, and you are about to graduate, then that may increase your chances of …
CourseReg Round 3 opens at 9 a.m. (tomorrow, 3 Aug) and closes 12 p.m. the following day.
For seniors, you will be able to overload—this means taking more units than the usual workload. Some may consider bidding for courses in excess and then dropping specific courses later on. (E.g. you may already be at the usual 20 units workload, but if there is another course you prefer but could not get, you can bid for that …
CourseReg Round 2 results are mostly out! Head to Edurec > Academics > Academic Records > View Classes.
There is still a slight chance of allocation until the official release time, 9 a.m. tomorrow, though most courses are usually fully allocated by this time.
Round 3 starts on 3 August, 9 a.m.
If you found these useful, do share our channel @NUSguide with your friends/juniors — we share uni tips/hacks throughout …
CourseReg Round 2 opens at 9 a.m.! You may view the demand and allocation report from the last round here; this lets you know the vacancies left and a sense of how in demand a course is. Noting that the ranking of courses does affect your priority for allocation (as rank preference is part of the formula), this can help you plan strategically as to how you would rank your courses.
Generally:
Priority Score = Progra…
UPDATE: They have announced they just closed sales (11.12 p.m.)!
The NUS shirt sales are closing tonight instead of 31 July! They have to end sales early because of high demand. (This is an official fundraiser by KEVII — refer to @nusshirts for more info!)
If you found these useful, do share our channel @NUSguide with your friends/juniors — we share uni tips/hacks throughout the year! 🙌🏻
CourseReg Round 1 results are out for most! Head to Edurec > Academics > Academic Records > View Classes.
There is still a slight chance of allocation until the official release time, 9 a.m. tomorrow, though most courses are usually fully allocated by this time.
Round 2 starts on 28 July 9 a.m.; this is no longer the protected round, so there are courses you can now bid for that you previously could not.
If you fo…
Reminder that CourseReg closes in less than an hour (12 p.m.) today!
If you found these useful, do share our channel @NUSguide with your friends/juniors — we share uni tips/hacks throughout the year! 🙌🏻
❤29🔥4👍3🎅2
Showing the 12 most recent of 24 posts we hold for @NUSguide. 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 — 556,460 of 1,151,006entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 2 registered channels — 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“NUS guide: entering university! 🏫🎓💯” (@NUSguide), 12,348 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NUSguide.
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.