Telegram RegisterThe public register of Telegram
Telegram profile photo for SG New Movies & Shows

Channel

SG New Movies & Shows

@sgnewmovies

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

36,524subscribers

+537 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001331885620
TypeChannel
Username@sgnewmovies
DescriptionLatest movies and shows worth watching, based on Singapore release dates 👀 👉 Feedback/Enquiry: tco.sg/sgnewmoviesform 👉 Follow us: tco.sg/telegramcollective Genre: Events, Performance, Entertainment, Lifestyle, Trends, Reviews
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/sgnewmovies

Topic

Film & TV — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Growth

35,98436,52436,2546 August 2026 — 35,987 subscribers6 August 2026 — 35,984 subscribers8 August 2026 — 35,993 subscribers8 August 2026 — 36,007 subscribers10 August 2026 — 36,025 subscribers10 August 2026 — 36,033 subscribers11 August 2026 — 36,045 subscribers12 August 2026 — 36,051 subscribers14 August 2026 — 36,077 subscribers15 August 2026 — 36,102 subscribers16 August 2026 — 36,129 subscribers17 August 2026 — 36,137 subscribers18 August 2026 — 36,151 subscribers19 August 2026 — 36,161 subscribers20 August 2026 — 36,158 subscribers21 August 2026 — 36,156 subscribers23 August 2026 — 36,188 subscribers24 August 2026 — 36,218 subscribers25 August 2026 — 36,248 subscribers27 August 2026 — 36,267 subscribers27 August 2026 — 36,275 subscribers28 August 2026 — 36,289 subscribers29 August 2026 — 36,325 subscribers30 August 2026 — 36,346 subscribers31 August 2026 — 36,353 subscribers1 September 2026 — 36,363 subscribers2 September 2026 — 36,378 subscribers4 September 2026 — 36,373 subscribers6 September 2026 — 36,393 subscribers10 September 2026 — 36,418 subscribers12 September 2026 — 36,457 subscribers14 September 2026 — 36,485 subscribers15 September 2026 — 36,508 subscribers18 September 2026 — 36,524 subscribers6 August 202618 September 2026
34 measurements spanning 42 days, net +537. 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 35,903–36,605 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 00:3636,524+16
15 Sept 2026, 23:0236,508+23
14 Sept 2026, 03:5536,485+28
12 Sept 2026, 13:0136,457+39
10 Sept 2026, 07:4036,418+25
6 Sept 2026, 23:4036,393+20
4 Sept 2026, 06:1936,373-5
2 Sept 2026, 21:4536,378+15
1 Sept 2026, 17:3336,363+10
31 Aug 2026, 20:3836,353+7
30 Aug 2026, 22:2536,346+21
29 Aug 2026, 19:4936,325+36
28 Aug 2026, 20:2836,289+14
27 Aug 2026, 22:0836,275+8
27 Aug 2026, 01:2536,267+19
25 Aug 2026, 22:4936,248+30
24 Aug 2026, 23:1236,218+30
23 Aug 2026, 10:2336,188+32
21 Aug 2026, 20:1536,156-2
20 Aug 2026, 19:3336,158first reading

Engagement

42 posts held, back to 19 June 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 84 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.4%
avg views ÷ 36,524 subscribers
Avg views / post
7,440
14 posts measured
Reaction rate
0.1%
reactions ÷ views · ER floor
Posts in window
14
of 42 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 13 of 14 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 24 September 2026
Posts held42 (19 June 2026 – 24 September 2026)
Views total104,160
Reactions total103
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 14:07 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.

What this channel posts

Photos
≈1,490
Videos
≈2
Links
≈1,330

Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

326 reactions across 40 posts, in 5 distinct kinds. The most used accounts for 89.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤29289.6%
👍257.67%
🔥51.53%
😁30.92%
😱10.307%

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 41 of the 42 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 326 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 19 June 2026 to 24 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.

Recent posts

24 Sept 2026, 10:01 UTC≈1,340 viewsread 24 September 2026
Photo

New Movies In Local Theatres This Week (24 Sep) 🎥 ✨ Click to watch the trailers: 1. Avengers: Endgame Encore 2. Blue Lock 3. Everybody Digs Bill Evans 4. Forgotten Island 5. Ha-Chan, Shake Your Booty! 6. Heart Of The Beast 7. Runner Movie ticket deals: tco.sg/DpmjztSFu @sgnewmovies #shoutout

20 Sept 2026, 04:01 UTC≈5,370 views7 reactionsread 24 September 2026
Photo

[Early Bird Promo] The Michael Jackson Musical 🎤 ✨ Witness an award-winning musical featuring over 25 Michael Jackson hits ✨ Join the waitlist now to unlock priority access & 15% off before early bird tickets go on sale 📅 Now till 27 Sep 📍 Sands Theatre Singapore Get tickets here: tco.sg/uT486CHJV @sgweekend #uniqueevent

❤7

17 Sept 2026, 10:01 UTC≈6,100 views10 reactionsread 24 September 2026
Photo

New Movies In Local Theatres This Week (17 Sep) 🎥 ✨ Click to watch the trailers: 1. Aasha 2. Epic: First Semester 3. Once Upon A Time In The Middle East 4. Resident Evil 5. Siccin 9 6. The Transformers: The Movie 40th Anniversary 7. The Uprising 8. The Violinist Movie ticket deals: tco.sg/FtrjrZ9TB @sgnewmovies #shoutout

❤10

16 Sept 2026, 04:01 UTC≈6,570 views5 reactionsread 24 September 2026
Photo

New on Netflix This Sep 🎬 ✨ Catch the newest additions on Netflix this month: 1️⃣ 2 Sep: Lovesick 2️⃣ 17 Sep: Plastic Beauty 3️⃣ 17 Sep: Stranger Things: Tales From ‘85 S2 4️⃣ 18 Sep: The Scandal 5️⃣ 18 Sep: Best of The Best 6️⃣ 23 Sep: Wonka’s The Golden Ticket More upcoming shows: tco.sg/tb7e5LMrq @sgnewmovies #shoutout

❤5

15 Sept 2026, 12:01 UTC≈6,650 views9 reactionsread 24 September 2026
Photo

5 Comfort Sitcoms You Can Rewatch Endlessly 🤣 ✨ Laugh along with these iconic & feel-good shows that never get old: 1️⃣ Friends (1994) 2️⃣ The Office US (2005) 3️⃣ Parks and Recreation (2009) 4️⃣ Modern Family (2009) 5️⃣ Brooklyn Nine-Nine (2013) @sgnewmovies #shoutout

❤9

13 Sept 2026, 04:01 UTC≈7,530 views4 reactionsread 24 September 2026
Poll

What usually convinces you to watch a new movie or series ?

  1. Favourite actor/actress46%
  2. Friends' recommendation43%
  3. Reviews49%
  4. Social media buzz39%
  5. Trailer45%

The shares total 222%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

❤4

10 Sept 2026, 10:01 UTC≈8,490 views14 reactionsread 24 September 2026
Photo

New Movies In Local Theatres This Week (10 Sep) 🎥 ✨ Click to watch the trailers: 1. Detective Conan The Movie: Fallen Angel Of The Highway 2. Haiwaan 3. Hope 4. Idiots 5. Mandaadi 6. Practical Magic 2 7. Sardar 2 Movie ticket deals: tco.sg/FtrjrZ9TB @sgnewmovies #shoutout

❤13👍1

10 Sept 2026, 04:01 UTC≈7,880 views14 reactionsread 24 September 2026
Photo

[Early Bird Promo] How To Train Your Dragon 2 Orchestra 🐉 ✨ Secure your early bird tickets to catch the Golden Globe-winning sequel on a giant HD screen ✨ Relive Hiccup & Toothless' journey with original movie dialogue, backed by a live symphony orchestra 📅 Early Bird Promo: Now till 13 Sep 📅 Concert: 23 Jan 2027 📍 Esplanade Theatre Get tickets here: tco.sg/Ms5VzfsPB @sgweekend #uniqueevent

❤13👍1

4 Sept 2026, 04:00 UTC≈7,650 views3 reactionsread 24 September 2026
Forwarded from @sgweekendPhoto

Join Our New Neighbourhood Groups 🏘 ✨ Discover upcoming events, food finds & exclusive deals right in your neighbourhood: 1️⃣ Clementi - Redhill 2️⃣ Holland Village - Bukit Panjang 3️⃣ Punggol - Serangoon 4️⃣ Farrer Park - Boon Keng 5️⃣ Bishan - Toa Payoh 6️⃣ Tengah - Jurong 7️⃣ Woodlands - Sembawang 8️⃣ Tai Seng - Paya Lebar 9️⃣ Marine Parade - East Coast 🔟 Bedok - Pasir Ris @sgweekend #shoutout

❤3

3 Sept 2026, 10:01 UTC≈8,680 views5 reactionsread 24 September 2026
Photo

New Movies In Local Theatres This Week (3 Sep) 🎥 ✨ Click to watch the trailers: 1. Chelot 2. Coyote Vs. Acme 3. How To Rob A Bank 4. Make Zhonghe Great Again 2 5. Tad & The Magic Lamp Movie ticket deals: tco.sg/tzCTAapae @sgnewmovies #shoutout

❤5

2 Sept 2026, 10:01 UTC≈8,760 views3 reactionsread 24 September 2026
Photo

Free entry to an Immersive Multisensory Performance 👩‍🎤 ✨ Experience Birdwatching, blending sound design, visual art, poetry, butoh-inspired movement & audience interaction ✨ Roam freely through the space & bring a pen to take part in interactive elements throughout the performance 📅 12 & 13 Sep (Sat & Sun) ⏰ 8.30PM - 10PM 📍 Yusof Ishak House Find out more: tco.sg/NgSHON7u7 @sgnewmovies #shoutout

❤2👍1

1 Sept 2026, 10:01 UTC≈8,240 views4 reactionsread 24 September 2026
Photo

Cheapest Movie Tickets & Promotions in SG 🎟 ✨ Here's a roundup of the latest cinema deals: 1️⃣ GV: Kids Watch Free 2️⃣ GV: $2 off for DBS Cards 3️⃣ GV: $2 off Mon & Tues 4️⃣ GV: $7 Weekday Student Tickets 5️⃣ HomeTeamNS: 1-for-1 Tickets 6️⃣ SAFRA: 2D Tickets from $9 7️⃣ SAFRA NSF: $8 Tuesday Tickets 8️⃣ Shaw: $1 off for OCBC Cards 9️⃣ Shaw: $13 Student Package Find out more: tco.sg/ijvBJEePU @sgnewmovies #deals

❤4

Showing the 12 most recent of 42 posts we hold for @sgnewmovies. 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.

Polls

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.

13 Sept 2026, 04:01 UTCAnonymous Poll557 voters

What usually convinces you to watch a new movie or series ?

  1. Favourite actor/actress46%
  2. Friends' recommendation43%
  3. Reviews49%
  4. Social media buzz39%
  5. Trailer45%

The shares total 222%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

22 Aug 2026, 04:01 UTCAnonymous Poll1,470 voters approx.

Which Spider-Man movie is your TOP favourite? 🕸

  1. Spider-Man (2002)13%
  2. Spider-Man 2 (2004)4%
  3. Spider-Man 3 (2007)3%
  4. The Amazing Spider-Man (2012)4%
  5. The Amazing Spider-Man 2 (2014)5%
  6. Spider-Man: Homecoming (2017)4%
  7. Spider-Man: Far From Home (2019)3%
  8. Spider-Man: No Way Home (2021)19%
  9. Spider-Man: Brand New Day (2026)46%

Shares as published, totalling 101%. 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 42 most recent posts we hold, published 19 June 2026 to 24 September 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.

Forward network

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 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“SG New Movies & Shows” (@sgnewmovies), 36,524 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sgnewmovies.

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.