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Telegram profile photo for 星洲日报 Sin Chew Daily

Channel

星洲日报 Sin Chew Daily

@sinchewtelegram

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

40,124subscribers

-432 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001318031376
TypeChannel
Username@sinchewtelegram
Description《星洲日报》Telegram平台 每天为你送上即时及重要新闻 Sin Chew Media Corporation Berhad (Company No. 198301003518 )
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/sinchewtelegram

Topic

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 10 August 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@pocketimes/217536 Aug 2026, 12:05 UTC@sinchewtelegram/207852 · this entry6 Aug 2026, 12:05 UTC1.00under a minute
@pocketimes/217596 Aug 2026, 23:35 UTC@sinchewtelegram/207870 · this entry6 Aug 2026, 23:35 UTC1.00under a minute
@sinchewtelegram/207966 · this entry7 Aug 2026, 12:05 UTC@pocketimes/217737 Aug 2026, 12:05 UTC1.00under a minute
@pocketimes/217747 Aug 2026, 23:35 UTC@sinchewtelegram/207990 · this entry7 Aug 2026, 23:35 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@pocketimes6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 46 comparable posts for this entry, running 6 August 2026 to 8 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @pocketimes. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

40,12440,55840,3417 August 2026 — 40,556 subscribers7 August 2026 — 40,558 subscribers8 August 2026 — 40,546 subscribers9 August 2026 — 40,531 subscribers10 August 2026 — 40,527 subscribers11 August 2026 — 40,515 subscribers12 August 2026 — 40,501 subscribers14 August 2026 — 40,488 subscribers16 August 2026 — 40,492 subscribers17 August 2026 — 40,495 subscribers18 August 2026 — 40,493 subscribers19 August 2026 — 40,492 subscribers20 August 2026 — 40,480 subscribers21 August 2026 — 40,471 subscribers22 August 2026 — 40,469 subscribers24 August 2026 — 40,445 subscribers25 August 2026 — 40,429 subscribers26 August 2026 — 40,425 subscribers27 August 2026 — 40,423 subscribers29 August 2026 — 40,406 subscribers30 August 2026 — 40,395 subscribers31 August 2026 — 40,377 subscribers1 September 2026 — 40,360 subscribers2 September 2026 — 40,350 subscribers4 September 2026 — 40,346 subscribers7 September 2026 — 40,302 subscribers10 September 2026 — 40,269 subscribers12 September 2026 — 40,251 subscribers14 September 2026 — 40,228 subscribers15 September 2026 — 40,221 subscribers17 September 2026 — 40,211 subscribers27 September 2026 — 40,124 subscribers7 August 202627 September 2026
32 measurements spanning 52 days, net -432. 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 40,059–40,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
27 Sept 2026, 20:3840,124-87
17 Sept 2026, 20:2140,211-10
15 Sept 2026, 16:5840,221-7
14 Sept 2026, 02:5640,228-23
12 Sept 2026, 12:1540,251-18
10 Sept 2026, 11:2140,269-33
7 Sept 2026, 07:2040,302-44
4 Sept 2026, 12:5940,346-4
2 Sept 2026, 23:4640,350-10
1 Sept 2026, 20:5440,360-17
31 Aug 2026, 19:1640,377-18
30 Aug 2026, 17:4340,395-11
29 Aug 2026, 15:3440,406-17
27 Aug 2026, 13:5340,423-2
26 Aug 2026, 15:1440,425-4
25 Aug 2026, 18:3340,429-16
24 Aug 2026, 15:2340,445-24
22 Aug 2026, 23:0440,469-2
21 Aug 2026, 12:3540,471-9
20 Aug 2026, 15:4640,480first reading

Engagement

1,825 posts held, back to 6 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 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.89%
avg views ÷ 40,124 subscribers
Avg views / post
759
940 posts measured
Reaction rate
0.349%
reactions ÷ views · ER floor
Posts in window
940
of 1,825 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 593 of 940 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 28 September 2026
Posts held1,825 (6 August 2026 – 28 September 2026)
Views total713,920
Reactions total1,784
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 12:40 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
≈176,000
Videos
≈16
Links
≈203,000

Lifetime counters from Telegram’s own channel header, read 28 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

1,903 reactions across 605 posts, in 30 distinct kinds. The most used accounts for 25.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍47825.1%
❤31216.4%
💩27014.2%
🙏1527.99%
🖕985.15%
👏975.10%
🤣824.31%
😁804.20%
👎683.57%
🤡593.10%
😱492.57%
🤬321.68%
😢301.58%
🤔301.58%
🥱130.683%
🔥110.578%
🍌100.525%
🤮100.525%
🥴60.315%
🎉30.158%
10 further kinds130.683%

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 636 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 1,903 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 28 August 2026 to 28 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

28 Sept 2026, 12:27 UTC183 views1 reactionsread 28 September 2026
Photo

社论.致敬敦哈斯玛:她不只是马哈迪的夫人 敦哈斯玛是马哈迪夫人,然而她并非丈夫的附庸。 https://www.sinchew.com.my/?p=7887539

👍1

28 Sept 2026, 12:15 UTC304 views1 reactionsread 28 September 2026
Photo

林瑞源.森州危机冲击马来票,巫统不得不低头 巫统希望尽快让森州宪政危机落幕,不能排除依斯迈拉欣会再次U转,或沦为牺牲品。 https://www.sinchew.com.my/?p=7887588

👍1

28 Sept 2026, 12:13 UTC334 views1 reactionsread 28 September 2026
Photo

槟柔雪8月占总贸易额80.4% 槟续稳居最大出口州 槟城、柔佛及雪兰莪联手贡献我国上个月总贸易额的80.4%,其中槟城继续稳居最大出口州,占全国出口额51.1%。 https://www.sinchew.com.my/?p=7888213

👍1

28 Sept 2026, 12:11 UTC334 views1 reactionsread 28 September 2026
Photo

【总编推荐】林瑞源:反贪会警方翻箱倒柜 国阵巫统麻烦不断 马哈迪的夫人敦哈斯玛周一早上逝世,朝野政治领袖赶往慰问其家属,因此政坛似乎沉寂下来。 https://www.sinchew.com.my/?p=7888191

👍1

28 Sept 2026, 12:05 UTC363 views1 reactionsread 28 September 2026
Photo

本周《星洲人》两岸猿声专栏最新文章~ 👇点阅完整内容 https://go.sinchew.com.my/b7e0a4 👇许国伟文章收录 https://go.sinchew.com.my/c79b6d 👇加入星洲人VIP支持我们报道更多优质内容,并享有9大福利优惠: https://go.sinchew.com.my/2330f7 #许国伟 #统治者会议 #依斯迈拉欣 #端姑慕力兹 #两岸猿声 #森宫廷风波 #东姑纳扎鲁丁 #星洲人

❤1

28 Sept 2026, 11:41 UTC673 views4 reactionsread 28 September 2026
Photo

百格|敦哈斯玛下葬一刻 马哈迪难忍心中悲痛 前首相夫人敦哈斯玛离世,她的遗体安葬在布城国家墓园,就在下葬一刻,敦马难忍心中悲痛…… https://www.sinchew.com.my/?p=7888195

😢3🥱1

28 Sept 2026, 11:34 UTC614 views4 reactionsread 28 September 2026
Photo

敦马夫人逝世 | 安华:政府感激贡献 哈斯玛国家显要葬礼 百岁高龄的前首相夫人敦哈斯玛今早在国家心脏中心逝世,为了感激其贡献,政府给予高规格的国家显要葬礼礼待(Istiadat Pengebumian Pembesar Negara)。 https://www.sinchew.com.my/?p=7887919

❤3👍1

28 Sept 2026, 11:25 UTC643 viewsread 28 September 2026
Photo

多国教育数字化“踩刹车” 北欧掀“回归纸本”反思潮 人工智能(AI)与数字科技席卷全球之际,教育数字化、无纸化曾被视为现代教育改革的重要方向。 https://www.sinchew.com.my/?p=7887970

28 Sept 2026, 11:24 UTC613 viewsread 28 September 2026
Photo

在曼谷浸水街道上玩摩托艇扰民 前演员之子被判监1个月 泰国曼谷近日豪雨成灾后,一名男子星期日涉嫌驾驶水上摩托艇,穿过曼谷淹水的碧差汶里路,且不断加速急转制造水浪,事后被警方逮捕,并被控以制造公共滋扰及妨碍交通罪。 https://www.sinchew.com.my/?p=7888108

28 Sept 2026, 11:13 UTC677 viewsread 28 September 2026
Photo

曼谷淹水致8死55万人受灾!街头惊现“鳄鱼游泳”民众吓呆 泰国连日遭受暴雨侵袭,首都曼谷及周边共26个府陷入严重水浸,影响超过22万户、约55万民众,至今已造成至少8人死亡。 https://www.sinchew.com.my/?p=7887679

28 Sept 2026, 11:09 UTC675 views1 reactionsread 28 September 2026
Photo

敦马夫人逝世 | 李显龙发文悼念敦哈斯玛 赞其温暖优雅奉献国家 新加坡国务资政李显龙悼念前首相敦马哈迪夫人敦哈斯玛逝世,形容她“温暖亲切、优雅大方,充满生命力,也有着极好幽默感”。 https://www.sinchew.com.my/?p=7888007

❤1

28 Sept 2026, 11:00 UTC703 viewsread 28 September 2026
Photo

乌克兰披露移交朝鲜战俘 韩国传召乌国特使表严重关切 韩国外交部周一在官方声明中表示,韩国外交部第一副外长朴润柱当天召见乌克兰驻韩国特使维什金,就乌克兰披露两名朝鲜战俘已被移交至韩国一事表达“严重关切”。 https://www.sinchew.com.my/?p=7887904

Showing the 12 most recent of 1,825 posts we hold for @sinchewtelegram. 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#4
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@rojaklahofficial · 6,481
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@INVESTkakii · 3,687
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@investmentpartners · 2,905
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#57
Bloomberg
@bloomberg · 175,725
#58
RHB Investment Bank Official
@RHBInvestmentBankOfficial · 20,324
#59
Stockbit Malaysia
@stockbitmalaysia · 13,715
#60
The Sun Malaysia (News)
@thesuntelegram · 2,048
#61
The Borneo Post
@borneopost · 3,938
#62
FMT News
@FreeMalaysiaToday · 13,069
#63
TI ACADEMY
@TIAcademy2025 · 5,092
#64
Astro AWANI
@astroawani · 70,798
#65
Macquarie Warrants Malaysia
@Malaysiawarrants · 6,022
#66

Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

中国报 China Press
@chinapressonline · 23,195
Telegram ranks this channel #1 of 53 here — alongside 52 others — read 19 September 2026
OrientaldailyNewsMalaysia
@orientaldailynewsmalaysia · 26,553
Telegram ranks this channel #2 of 65 here — alongside 64 others — read 12 September 2026
Sharix.my
@harryt30tybjb · 32,637
Telegram ranks this channel #4 of 73 here — alongside 72 others — read 4 September 2026
zaobao.sg 早报
@zaobaosg · 36,506
Telegram ranks this channel #10 of 59 here — alongside 58 others — read 1 September 2026
Jom Masuk Matrikulasi KPM
@jommasukmatrikulasikpm · 33,143
Telegram ranks this channel #15 of 32 here — alongside 31 others — read 4 September 2026
CPRC Kementerian Kesihatan Malaysia
@cprckkm · 345,979
Telegram ranks this channel #20 of 74 here — alongside 73 others — read 13 August 2026
Majlis Keselamatan Negara (Rasmi)
@mknrasmi · 619,110
Telegram ranks this channel #27 of 80 here — alongside 79 others — read 13 August 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 75,397
Telegram ranks this channel #29 of 54 here — alongside 53 others — read 20 August 2026
俄罗斯资讯参考频道
@JShangrong · 24,735
Telegram ranks this channel #33 of 60 here — alongside 59 others — read 15 September 2026
Sihat Milikku - Kementerian Kesihatan Malaysia @MyHEALTHKKM
@sihatmilikbersama · 41,153
Telegram ranks this channel #36 of 76 here — alongside 75 others — read 29 August 2026
Info Jawatan Kosong & Bantuan Kerajaan 🇲🇾
@mohonkerjaya · 61,091
Telegram ranks this channel #37 of 65 here — alongside 64 others — read 22 August 2026
INFO BIASISWA | PENDIDIKAN | BANTUAN KERAJAAN
@ScholarshipsMy · 53,383
Telegram ranks this channel #43 of 49 here — alongside 48 others — read 24 August 2026
Info Kerjaya Seluruh Malaysia
@myportaljawatan · 32,724
Telegram ranks this channel #47 of 60 here — alongside 59 others — read 4 September 2026
OFFICIAL KEMENTERIAN KESIHATAN MALAYSIA 🇲🇾
@MOHMalaysia · 22,573
Telegram ranks this channel #48 of 78 here — alongside 77 others — read 20 September 2026
Malaysiakini EN (Official)
@malaysiakini · 29,167
Telegram ranks this channel #49 of 87 here — alongside 86 others — read 8 September 2026
M+ On-The-Go
@mplusOTG · 26,335
Telegram ranks this channel #51 of 77 here — alongside 76 others — read 12 September 2026
The Star (Official)
@thestar_official · 32,588
Telegram ranks this channel #53 of 82 here — alongside 81 others — read 5 September 2026
Portal Malaysia
@blogrojak · 21,362
Telegram ranks this channel #54 of 60 here — alongside 59 others — read 23 September 2026
Anwar Ibrahim (official)
@anwaribrahim_official · 30,052
Telegram ranks this channel #54 of 75 here — alongside 74 others — read 7 September 2026
Astro AWANI
@astroawani · 70,798
Telegram ranks this channel #55 of 86 here — alongside 85 others — read 20 August 2026
Toncoin 中文频道
@toncoin_cn · 140,488
Telegram ranks this channel #58 of 87 here — alongside 86 others — read 17 August 2026
RHB Investment Bank Official
@RHBInvestmentBankOfficial · 20,324
Telegram ranks this channel #62 of 77 here — alongside 76 others — read 28 September 2026
Trade With Maybank
@TradewithMaybank · 25,394
Telegram ranks this channel #65 of 79 here — alongside 78 others — read 14 September 2026
🇲🇾KLSE Bursa Buy/Sell Signals📈💸
@BursaKLSEsignals · 34,153
Telegram ranks this channel #65 of 79 here — alongside 78 others — read 5 September 2026

This channel appears in 24 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“星洲日报 Sin Chew Daily” (@sinchewtelegram), 40,124 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/sinchewtelegram.

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.