Channel
@CNAInsiderSG
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
4,068subscribers
+21 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001140070404 |
|---|---|
| Type | Channel |
| Username | @CNAInsiderSG |
| Created | Between 1 June 2017 and 31 July 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/CNAInsiderSG |
National news — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
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.
11,100 average views per post against 4,068 subscribers — an engagement rate of 274.0%. Across the 8,336 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in English — the middle half sit between 3.55% and 20.0%, with a median of 9.27%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 17 of 17 published in the window (0 exact, 17 rounded by Telegram) |
| Views totalled | 189,520 |
| Mature posts only | 269.7% over 16 posts read at least 24h after publication |
| Subscribers | 4,068 measured 10 August 2026 |
| Cohort | b3162:eng · 8,336 channels · p10 1.18% · p25 3.55% · p50 9.27% · p75 20.0% · p90 36.6% |
| Position in cohort | 99.892th percentile · 29.6× the cohort median |
| Uncertainty | ±0.076% of the figure, from Telegram’s rounding |
| Post language | English · 100.0%of the window’s posts |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 05:22 | 4,068 | +20 |
| 7 Aug 2026, 01:20 | 4,048 | +1 |
| 6 Aug 2026, 04:19 | 4,047 | first reading |
20 posts held, back to 9 July 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 4 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 | 20 (9 July 2026 – 8 August 2026) |
| Views total | 189,520 |
| Reactions total | 525 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:41 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.
Measured directly from 2 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.
608 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 48.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 292 | 48.0% | |
| 😢 | 68 | 11.2% | |
| 🤔 | 67 | 11.0% | |
| 😱 | 48 | 7.89% | |
| 👍 | 45 | 7.40% | |
| 🔥 | 42 | 6.91% | |
| 👎 | 30 | 4.93% | |
| 🤣 | 8 | 1.32% | |
| 🤯 | 6 | 0.987% | |
| 👏 | 1 | 0.164% | |
| 💯 | 1 | 0.164% |
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 20 of the 20 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 608reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 9 July 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.
Alvin Tan left his S$10,000-a-month software engineering job, partly because he feared the rise of AI could eventually put his job at risk. Rather than wait to see if he would be retrenched, he became a hawker selling Hokkien mee, earning about S$3,000 to S$4,000 a month. Alvin says despite earning less and working longer hours, running his own business gives him greater control over his future. "You get to be in …
🤔15👍4❤2
"When you wake up, you'll be beautiful." This was the last message Kwang received before undergoing a rib-technique rhinoplasty in Thailand — a procedure that ultimately killed her. As the country's multibillion-dollar aesthetic industry booms, unlicensed practitioners and high-risk procedures are putting lives at risk. See the ugly side of beauty on Insight: https://youtu.be/fJzTP0e-zL4
😱16😢8🤔2
Colin retired at 35 and spends just S$150 a month. 🤯 As a child, he saw his aunt cry after losing her job. From then on, his life revolved around achieving financial freedom — he lives in a S$87,000 flat, keeps to an extreme budget, and uses others' throwaways. "My happiness and my pleasure are all mental... and mental kind of fun happens to be free," he says: https://cna.asia/3SdzgAa This lifestyle is...
❤17🤔8👎2🔥2💯1😢1
We recently asked what AI agent Steven Chia should build. Now we'd like to hear from people who've already built one. What does your AI agent do? Has it saved you time, automated a tedious task or solved a problem you deal with regularly? DM us on Instagram or email us at talkingpoint@mediacorp.com.sg. We'd love to hear from you.
👎10🤔5❤2👍2🤯1
Just how pushy can beauty salons get? A beauty chain is providing S$1 million in refunds after some of its staff "trapped" customers in treatment rooms and pressured them into buying packages. https://cna.asia/4vWepPC Talking Point finds out how to spot a bad deal. Watch: https://youtu.be/LEBn_KGVW3A
🔥10😢6❤3😱3
Steven Chia is learning how to build AI agents to see if they can make everyday life easier. What task would you hand over to AI? DM us on Instagram or email us at talkingpoint@mediacorp.com.sg. We might build it and put it to the test. 😉
🔥18👎11❤2🤔2
Weekly Yakult deliveries are doing more than stocking fridges these days. In Japan, Yakult Ladies also check in on vulnerable seniors and are trained to spot early signs of dementia. With 152,000 people in Singapore projected to have dementia by 2030, here's what we can learn from the Japanese: https://cna.asia/4pKWbPz
❤118👍2🔥1
Lara, not her real name, was 14 when some classmates deliberately destroyed her school project. What followed were two years of relentless bullying that left her feeling everyone around her “deserved to die”. Around one in two 15-year-olds in the Philippines report being bullied at least a few times a month, more than double the OECD average. Find out why the country is facing such a crisis on Insight: https://yout…
😢31❤5😱2👍1
This Singaporean lives on just S$150/month. 😳 20 years ago, Colin lost his job at the age of 35. He had already been living on an extreme budget even before that. Today, he still hasn't returned to the workforce, keeps his monthly spending to about S$150 and says he does not feel deprived. See what his life looks like on Money Mind: https://youtu.be/g45D-ulsY00
👍24🤔14😱8🔥6🤣6👎3👏1😢1
We’ve launched a new interactive notebook featuring all of CNA's best Talking Point episodes: Talk to Talking Point. You can use it to ask about our past investigations, or even try the quizzes to see how much you remember from the episodes. If we haven’t covered a specific topic you’re keen on, write to us at the email address in the Notebook. Give it a go here (Note: You need to be signed into a Google account) …
❤17🔥5🤣2👎1🤯1
On her imagined last day, Hui Min finally confronted her mother over years of unresolved hurt. After her breast cancer returned last year, she reflects on what else she would do on On The Red Dot: https://youtu.be/VNNX9zGlJPc How would you spend your last day? 🗓
😢15❤3
This millennial entrepreneur sells soft-serve ice cream from vending machines. 🍦 After a motorcycle accident left Narresh using a wheelchair, he built an ice cream business, then diversified it into four income streams for financial security: https://youtu.be/BdVjJp_1pOU What's your favourite vending machine buy?
❤21
Showing the 12 most recent of 20 posts we hold for @CNAInsiderSG. 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.
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Ramen is a quintessential Japanese dish, but which part of it is often made with imported ingredients? 🤔
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Why did William Farquhar hang a crocodile by the Rochor River in 1822? 🐊
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 9 July 2026 to 8 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 99,592 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.
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.
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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“CNA Insider” (@CNAInsiderSG), 4,068 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/CNAInsiderSG.
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.