6 measurements spanning 15 days, net +10. 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 1,259–1,275 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 15:40
1,273
+10
3 Sept 2026, 01:15
1,263
+2
31 Aug 2026, 09:37
1,261
-7
28 Aug 2026, 01:27
1,268
+5
24 Aug 2026, 13:00
1,263
no change
24 Aug 2026, 12:46
1,263
first reading
Engagement
9 posts held, back to 14 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
58.9%
avg views ÷ 1,273 subscribers
Avg views / post
750
9 posts measured
Reaction rate
0.615%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 6 of 9 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 23 August 2026
Posts held
9 (14 August 2026 – 23 August 2026)
Views total
6,747
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Aug 2026, 13:00 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.
Reaction mix
29 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 69.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
20
69.0%
❤
9
31.0%
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 6 of the 9 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 14 August 2026 to 23 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.
Hey all!
The exco is finalising the applications tonight! For those who have been offered an interview so far do please help us out and schedule a timing early ^^
Do note that although the booking page shows slots until next week, the interview slots close on 28th 2359.
Those who have booked wrongly past this deadline have been informed via Telegram
All the best and have a great week ahead!
[ RECRUITMENT FOR CLUB MEMBERS AY26/27 ]
NUS SoC AI SOCIETY
❗️❗️APPLICATIONS CLOSING 23 AUGUST 2359 SHARP ❗️❗️
NUS SoC AI Society (AISoc) is a club focused on 💻 AI Research & Engineering. We take things apart to see how they really work, and bridge the gap between academic theory and real-world implementation.
Whether you’re a complete beginner looking to move past the buzzwords or an advanced builder tinkering wi…
[ RECRUITMENT AY26/27 ]
NUS SoC AI SOCIETY
NUS SoC AI Society (AISoc) is a club focused on 💻 AI Research & Engineering. We take things apart to see how they really work, and bridge the gap between academic theory and real-world implementation.
Whether you’re a complete beginner looking to move past the buzzwords or an advanced builder tinkering with custom architectures and kernels, here is your space to build, lea…
🚀 The LaunchPad AI Symposium is happening TOMORROW, 18 August!
If you’re curious about where AI is actually heading, we’ve got 6 conversations worth showing up for:
🧠 Prof Tan Zhi-Xuan, NUS Computing: Can AI Learn to Cooperate Naturally With Us?
🛡 Huanyue Liao, IMDA: Assessing AI Chatbots’ Responses to Suicide and Self-Harm Risks
🔭 Clement Neo, Neo Research: The Best Way to Evaluate the Open Frontier
⚡️ Isaac Ti…
Five frontier themes in AI. Two days at NUS.
🧠 AI in Training
☁️ AI in Infrastructure & Deployment
🤖 Embodied AI
🛡 Social Intelligence & Human Values
💻 AI in Product
Whether you’re building, already working in the space, looking for a way in, or simply curious, the room is for you. You don’t need to be a CS major.
Expect talks and panels from people doing this work every day, including the lessons from production …
Five people who build AI for a living, answering the questions the demos skip.
Alex Ang and Aiden Ma: Agnes AI 🧠
What it actually took to build and grow Agnes. The calls they made, the ones they would remake, and where it goes next.
Guan-ru Huang: Nebius ☁️
Your local AI deployment works. Now serve it to a million people without it falling over.
Jakub Tomasek: Kabam Robotics 🤖
Jakub explores the Physical APIs, net…
Anyone can demo AI. Almost nobody can ship it.
This 17-18 August, five people who actually did it are on stage at NUS.
OpenAI. Cloudflare. IMDA. Griffin Labs. Adaption.
• 🧠 Darius Liu from Adaption on adaptive AI systems and why enterprises will need to own and control their intelligence.
• ☁️ Jaryl Chng from Cloudflare on using AI to keep the infrastructure behind "serverless" services reliable.
• 🤖 Raphael Yee f…
🔥5❤1
Signed Benjamin C
Showing the 9 most recent of 9 posts we hold for @nusaisociety. 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.
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.
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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“NUS SoC AI Society (Announcements)” (@nusaisociety), 1,273 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/nusaisociety.
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.