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Telegram profile photo for NUS ConfessIt 📣

Channel

NUS ConfessIt 📣

@NUSConfessIT

2 usernames

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry

20,042subscribers

+824 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002069055908
TypeChannel
Usernames@NUSConfessIT @suck365
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held106
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/NUSConfessIT

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 the other topics.

Growth

19,21720,04719,63220,0427 August 20265 November 2026
106 measurements spanning 90 days, net +824. 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 19,093–20,172 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 106
Measured (UTC)SubscribersChange
5 Nov 2026, 14:2620,042no change
5 Nov 2026, 06:5520,042-2
4 Nov 2026, 15:4820,044-3
4 Nov 2026, 02:4020,047+1
3 Nov 2026, 17:3520,046+32
2 Nov 2026, 23:0720,014no change
2 Nov 2026, 15:4020,014+1
1 Nov 2026, 23:2720,013-2
1 Nov 2026, 12:5620,015-1
31 Oct 2026, 21:3520,016+18
31 Oct 2026, 09:3619,998+4
30 Oct 2026, 18:0819,994-5
29 Oct 2026, 14:2919,999+4
29 Oct 2026, 03:2919,995no change
28 Oct 2026, 15:5819,995-2
28 Oct 2026, 04:3519,997no change
27 Oct 2026, 17:0619,997+2
27 Oct 2026, 02:1019,995-1
26 Oct 2026, 20:0819,996+4
26 Oct 2026, 03:5719,992first reading

Engagement

1,137 posts held, back to 7 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.03%
avg views ÷ 20,042 subscribers
Avg views / post
807
93 posts measured
Reaction rate
0.429%
reactions ÷ views · ER floor
Posts in window
93
of 1,137 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 59 of 93 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held1,137 (7 August 2026 – 5 November 2026)
Views total75,078
Reactions total211
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 05:16 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

1,754 reactions across 448 posts, in 41 distinct kinds. The most used accounts for 25.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤45025.7%
👎25614.6%
👍21012.0%
🔥18410.5%
🤣1659.41%
👏754.28%
😭482.74%
🗿331.88%
🤔321.82%
😢271.54%
💊241.37%
🥰241.37%
😨211.20%
🕊170.969%
😱170.969%
🙏170.969%
🥴170.969%
💅160.912%
🫡160.912%
😁130.741%
21 further kinds925.25%

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 523 of the 1,000 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 1,754 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 5 November 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
6
of 1,000 we hold a reading for · 0.6%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NUSConfessIT. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 9 August 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 93 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 05:14 UTC31 views0 reactionsread 5 November 2026

#Rant 😩: SES Influences Singaporean Children's Language Use ID: #CYQ8267L --- Observation: Lower SES sg chn speak Singlish and Chinese while well educated and high SES ones use good English (minimal to no Singlish). --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 04:26 UTC392 viewsread 5 November 2026

#Rant 😩: Midday Pen Panic: Racing Against the Clock ID: #CJG1320M --- pen finding a case, within the next three-four hours, feeling mid-day thing hehe --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 04:22 UTC431 viewsread 5 November 2026

#Campus 🏫: Requesting First Video Submission Marks for GEN2062X ID: #CYK1287J --- For GEN2062X, what marks did u get for first video submission --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 04:17 UTC451 viewsread 5 November 2026

#Rant 😩: Skipping School to Drink and Unwind Tonight ID: #CMQ6001J --- any case wanna drink tonight fk school mann burning braincells --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 03:57 UTC532 viewsread 5 November 2026

#Studies 📚: Cs4225 Course Worthiness Questioned ID: #CPT4114P --- Cs4225 not useful? a b c d e f g --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 03:41 UTC639 views7 reactionsread 5 November 2026

#Rant 😩: Project Mate Ghosting Near Deadline: To Report or Not? ID: #CXM5583X --- Project submission is near but project mate keep ghosting. Should I report to teaching team? Either way project mate won't contribute right? --- Post confession!📩 CHAT WITH confessor!💬

😭6❤1

5 Nov 2026, 03:40 UTC607 viewsread 5 November 2026

#Campus 🏫: SMUMarket: Your Go-To NUS Buy & Sell Community ID: #CDQ9571D --- Looking for a place to buy, sell or find good deals within NUS? Introducing @smumarket Whether you’re looking to sell your notes, buy / sell second-hand items, or pass on items you no longer need, this is the place to do it! Sharing is caring so do join the channel and spread the word among your friends!🥳🥳🥳 Lets make this a community for …

5 Nov 2026, 03:33 UTC589 viewsread 5 November 2026

#Others: Friendly Gathering at Tampines This Friday 11 PM ID: #CYO3123U --- 3q1 mj manual table tampines friday 11pm. we r friendly ppl😊 --- Post confession!📩 CHAT WITH confessor!💬

5 Nov 2026, 03:20 UTC600 views4 reactionsread 5 November 2026

#Rant 😩: Language Use Varies by SES in Singaporean Children ID: #CVP8882M --- Observation: Lower SES sg chn speak Chinese while educated and higher SES ones use English --- Post confession!📩 CHAT WITH confessor!💬

🤣3🔥1

5 Nov 2026, 02:11 UTC761 views3 reactionsread 5 November 2026

#Studies 📚: Obsessed with Linguini App for Learning French, Seeking Challenge Buddies ID: #CEX9926P --- I'm obsessed with this language app that turns photos into language lessons. I love learning French on Linguini. Looking for some friends to do the daily challenges with: www.learnwithlinguini.com Their tele channel is: https://t.me/learnwithlinguini --- Post confession!📩 CHAT WITH confessor!💬

🤔3

5 Nov 2026, 02:08 UTC714 views1 reactionsread 5 November 2026

#Rant 😩: Why Marriage Is a Scam in Modern Relationships ID: #CEC8552L --- If two people can love each other, remain faithful, raise children, share finances, and support each other until death without getting married, then what does marriage actually add? marriage is a scam. --- Post confession!📩 CHAT WITH confessor!💬

👍1

5 Nov 2026, 01:04 UTC762 views10 reactionsread 5 November 2026

#Others: Eastern Philosophies Embrace LGBTQ+ Identities and Fluidity ID: #CSV6502E --- Taoism offers a beautiful perspective on embracing LGBTQ+ identities. Although Yin is often associated with femininity and Yang with masculinity, these are simply representations to make deeper philosophical concepts easier to understand. In reality, Yin and Yang are interconnected, with Yin existing within Yang and Yang within Yi…

❤10

Showing the 12 most recent of 1,137 posts we hold for @NUSConfessIT. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @NUSConfessIT as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
4 November 2026
Most recent seen missing
4 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
2

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.

Names

Channels on the register whose handles appear in this channel's posts.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“NUS ConfessIt 📣” (@NUSConfessIT), 20,042 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/NUSConfessIT.

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.