Channel
@sgsmu
On this record: Growth · Engagement · Reactions · Posts · Cite this entry
4,374subscribers
+43 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001124247159 |
|---|---|
| Type | Channel |
| Username | @sgsmu |
| Created | Between 1 June 2017 and 30 September 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/sgsmu |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 04:34 | 4,374 | +26 |
| 20 Aug 2026, 05:42 | 4,348 | +1 |
| 17 Aug 2026, 12:17 | 4,347 | +3 |
| 13 Aug 2026, 18:18 | 4,344 | +4 |
| 10 Aug 2026, 10:21 | 4,340 | +9 |
| 6 Aug 2026, 04:05 | 4,331 | no change |
| 6 Aug 2026, 02:09 | 4,331 | first reading |
8 posts held, back to 1 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 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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 8 (1 August 2026 – 8 August 2026) |
| Views total | 5,572 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 11:47 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.
23 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 95.7% | |
| 🥰 | 1 | 4.35% |
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 8 of the 8 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 1 August 2026 to 8 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.
An SMU alumna on the NDP stage 🇸🇬 We are proud to celebrate Jasmine Wong (Bachelor of Business Management, Class of 2022), better known as Jasmine Sokko, whose single You’ll Be Okay is part of Go Beyond: NDP 2026 Album. Watch the music video on YouTube: https://bit.ly/3Seq66A
❤2
For SMU alumna Tiziana Tan (BBM, Class of 2017), leadership is about creating the conditions for others to grow and lead. The founder of Brain Juice Collective reflects on the values that have shaped her work and her approach to mentorship. Read her story in Her World: https://bit.ly/3TCZfl3
❤3
SMU Professor of Psychology David Chan has been appointed to the Global Advisory Panel on Skills, joining up to 22 experts selected worldwide. Jointly established by the World Bank Group and the Center for Global Development, the panel will identify the most effective skills interventions to raise incomes and reduce poverty in low- and middle-income countries. Professor Chan will contribute his expertise in the soc…
❤1
While pursuing her degree at SMU, Joelyn Carmen Chong (BSocSc, Class of 2026) launched ventures across education, sustainability and AI—guided by a desire to create meaningful change. As she celebrates her graduation, hear Joelyn reflect on the experiences that shaped her journey and what continues to drive her forward. Listen to her conversation on the Lives Less Ordinary podcast: https://sgsmu.com/4hPuDXm
❤2
Artificial intelligence is changing investment management—but understanding its impact requires more than advances in technology alone. The inaugural University of Maryland/SMU/UBS Quant Investment Forum: AI and Finance brought together leading researchers and investment professionals to explore how AI is reshaping financial markets, and why closer dialogue between research and practice matters as the field continue…
❤1
SMU is deepening ties with Indonesia as digital transformation gathers pace across the region. Through the SMU Indonesia Office, the University collaborated with Indonesia’s Ministry of Communication and Digital Affairs (KOMDIGI) on a hybrid knowledge-sharing session connecting participants across Jakarta, Surabaya, Yogyakarta and Malang. Read the article to find out how SMU is strengthening regional partnerships a…
❤7
🎓 Congratulations to the Class of 2026 from the SMU Lee Kong Chian School of Business! Graduation marks the beginning of an exciting new chapter, filled with opportunities to embrace, ambitions to pursue and possibilities yet to be discovered. As Commencement 2026 draws to a close, we celebrate our LKCSB graduates and the entire Class of 2026. Here’s to everything you have achieved—and all that awaits! 💙
❤3🥰1
🎓 Congratulations to the Class of 2026 from the SMU School of Accountancy! This milestone celebrates everything our graduates have achieved and the journey that brought them here—shaped by growth, memorable experiences and the support of those around them. Graduates, you have earned this moment. Take pride in how far you have come, keep the bigger picture in view and move into your next chapter at your own rhythm.
❤3
Showing the 8 most recent of 8 posts we hold for @sgsmu. 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“Singapore Management University” (@sgsmu), 4,374 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/sgsmu.
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.