Local community β a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelβs own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 57% confidence. This is a modelβs 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 β 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
29 measurements spanning 42 days, net +706. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 11,841β12,759 and does not start at zero.
Measurement log β every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:42
12,653
+5
16 Sept 2026, 08:37
12,648
+2
12 Sept 2026, 22:41
12,646
-1
10 Sept 2026, 22:41
12,647
+6
8 Sept 2026, 01:18
12,641
-3
4 Sept 2026, 22:57
12,644
+10
3 Sept 2026, 07:55
12,634
+48
2 Sept 2026, 04:45
12,586
+57
1 Sept 2026, 01:48
12,529
+2
31 Aug 2026, 03:55
12,527
+2
30 Aug 2026, 03:58
12,525
-4
29 Aug 2026, 06:38
12,529
-3
28 Aug 2026, 04:24
12,532
-1
25 Aug 2026, 23:59
12,533
+4
25 Aug 2026, 01:13
12,529
+4
23 Aug 2026, 17:05
12,525
+3
21 Aug 2026, 23:37
12,522
+2
20 Aug 2026, 16:28
12,520
+6
19 Aug 2026, 16:15
12,514
+5
18 Aug 2026, 14:03
12,509
first reading
Engagement
32 posts held, back to 23 June 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 45 pages of Telegramβs post history, 20 posts per page.
ERR Β· 30 days
72.3%
avg views Γ· 12,653 subscribers
Avg views / post
9,150
3 posts measured
Reaction rate
0.277%
reactions Γ· views Β· ER floor
Posts in window
4
of 32 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) Γ· views β note the denominator is views, not subscribers. Telegramβs 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 Β· latest post in window 2 September 2026
Posts held
32 (23 June 2026 β 2 September 2026)
Views total
27,460
Reactions total
76
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
2 Sept 2026, 21:27 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
1,125 reactions across 31 posts, in 22 distinct kinds. The most used accounts for 83.1% of them.
Every reaction kind recorded on the sample, most used first
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 31 of the 32 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 1,125 reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 32 most recent posts we hold, published 23 June 2026 to 2 September 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.
P.S. besides the free bbt/food today (for all), there is also a free shirt if you are a freshie! (above post has been edited to note this)
Also, since you're on campus for these, if youβre looking for a lunch buddy or someone to get these freebies with, you can try out:
β’ @SimplyMeetBot (if you are on campus, select the smallest distances! This bot matches you with someone else who is also nearby/on campus)
β’ @nusmaβ¦
NUSSU Free Bubble Tea, Ice Cream, Nachos & Churros Today
If you are in campus, there are freebies up for grabs from NUSSU Welfare later at UTown! Long queues are probably expected, though.
It is not unusual that some (who want to be at the front of the queue) would already be on standby to form a queue before the distribution timing.
If youβre a freshman, you are also eligible to get a free freshman shirt on top oβ¦
βWβ grade period ends 27 September
If you drop a course by 27 September, it wonβt count towards your GPA and a βWβ grade is shown instead. If you do drop a course after 27 September, it will be an βFβ grade (a fail grade does drastically affect your GPA). Thus, you have slightly less than a month more to consider whether a course is really not for you.
Some may think of a βWβ grade as a blemish on the transcript, tβ¦
Tutorial Registration Round 2 results officially release at 9 a.m. (but as usual, you may be able to sneak peek beforehand).
π¨What is important is that the add/swap tutorial option also opens at 9 a.m. The add/swap is first come first serve (this is unlike all the previous rounds!) Thus, youβd want to be awake at 9 a.m. to have your first pick at any remaining vacancies (if you need them). Requests to add/swap are pβ¦
Bots for matching - study buddies, lunch buddies, new friends, 1-for-1 deals, going to events and more:
If youβre feeling bored or want to meet more peers, you may check out these telegram bots for matching anonymously with other users! These were first started way back in 2021 across different universities during the Covid-19 pandemic and was viral on TikTok for a time ( https://www.tiktok.com/@nicolettecalliewe/viβ¦
What if I didnβt get a spot in round 1?
[TODAY, TILL 5 p.m.] Tutorial Registration Round 2: if you didnβt get a spot, bid in excess and be mindful of vacancies left for the courses you bid for. Securing something is better than nothing β at least you have something to offer for potential swaps later on.
If you did secure a tutorial slot in Round 1 (but not a desirable one), our understanding is that the only way toβ¦
Just a note that the βdrop classesβ page stopped being visible earlier today; this does tend to happen the day before the official release. (Being able to view a sneak peek of tutorial slots under the βdrop classesβ tab has always been an unofficial loophole).
Edit: You should now be able to view these instead under βView Classesβ!
For those still hopeful for further allocations, all the best for the official releaβ¦
This student deal back! If you think youβll benefit from a full suite of AI toolsβ access (despite the recent announcement), or think youβll already be needing it in August, then this may be a good deal!
(@ThisCounted shares various student deals; you can also expect another round of bonus rewards with them for Apple purchases supposedly launching soon, and for Lenovo as well β you can wait for it if you havenβt gotβ¦
π [Circles.Life] STUDENTS: NEWEST AI MODELS. CHEAPEST PLAN YET.
π’ For just $5/month, unlock all the best AI tools in the market.
π€ GPT-5.4
π§ Claude Sonnet 4.6
β¨ Gemini 3 Pro
π Full access on mobile and desktop via CirclesAI
π For the same price of a meal, you can enjoy:
π± 1TB 4G data
π Unlimited talktime
π² A second number
π No contract
πΈ ONLY $5/MONTH (U.P. $15/MONTH)
π *For new Circles.Life users.
π Get yours: β¦
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 βtutrektβ, which means you lost out to others and probably shouβ¦
π¨Tutorial registration has opened and ends at 5 p.m. today. Note that you can still edit your choices after pressing βcontinueβ.
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 chanβ¦
β€17π3π₯2π«‘2
Showing the 12 most recent of 32 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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.
Posts edited after publishing
@NUSguide edited 1 post after it first published β the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too β this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
23 August 2026
Most recent edit
23 August 2026
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 β 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 β that handle may belong to someone else now, and crediting todayβs namer to yesterdayβs 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 β 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 β the βNamed by N registered channelsβ 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 18 September 2026 β this
entry's latest reading, not the date you are reading this.
βNUS guide: surviving university! π«ππ―β (@NUSguide), 12,653 subscribers as measured 18 September 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 Β· 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.