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Channel
东南亚华人新闻曝光
@bgdsj26
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
123,171subscribers
+277 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001388397218 |
|---|---|
| Type | Channel |
| Username | @bgdsj26 |
| Description | #东南亚实时 及时追踪曝光有关东南亚一切新闻,在这里你可以看到真正的东南亚,让我们一起维护东南亚仅存的净土 ❤️❤️❤️曝光投稿: @mrrjt19 |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/bgdsj26 |
Topic
Gambling & betting — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 38% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:38 | 123,171 | +539 |
| 12 Aug 2026, 21:56 | 122,632 | -73 |
| 11 Aug 2026, 19:53 | 122,705 | -49 |
| 10 Aug 2026, 23:01 | 122,754 | -109 |
| 9 Aug 2026, 23:34 | 122,863 | -28 |
| 8 Aug 2026, 21:24 | 122,891 | -3 |
| 8 Aug 2026, 19:00 | 122,894 | first reading |
Engagement
137 posts held, back to 8 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.50%
- avg views ÷ 123,171 subscribers
- Avg views / post
- 4,310
- 137 posts measured
- Reaction rate
- 5.00%
- reactions ÷ views · ER floor
- Posts in window
- 137
- of 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 1 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 137 (8 August 2026 – 14 August 2026) |
| Views total | 590,056 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 19:14 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
- ≈20,700
- Videos
- ≈2,010
- Links
- ≈1,870
Lifetime counters from Telegram’s own channel header, read 14 August 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.
- Video runtime
- 1h 00m
- Average length
- 56s
Measured directly from 64 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🙏 | 1 | 100.0% |
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 1 of the 137 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 137 most recent posts we hold, published 8 August 2026 to 14 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.
Recent posts
⭕️ 初步报道: 一名男子在家中杀害了自己的妻子,随后自缢身亡。 目前,具体原因尚不清楚。 这起事件发生在斯万瑞省斯瓦扬区塔苏斯村的 Thom Sar 村。
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Showing the 12 most recent of 137 posts we hold for @bgdsj26. 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.
Mentions
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.
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.
@jiandan8884 · 125,241#1
@jrdnyxs · 57,876#2
@DNYzzz6 · 59,428#3
@dnanyakuaibaobgxs · 55,984#4
@dnyqqbj · 113,450#5
@TTDR8 · 92,429#6
@bx66664 · 145,707#7
@cc199 · 67,740#8
@BGS8989 · 97,008#9
@bgtjt · 96,695#10
@xigang13 · 66,483#11
@aq7777 · 56,987#12
@dnyuuu88 · 121,327#13
@iiiik · 45,583#14
@hrs166 · 78,866#15
@xinhuaribao · 952#16
@bodu08 · 60,848#17
@Banma_xinwen · 97,409#18
@dny1577 · 5,664#19
@GGooGG66 · 119,844#20
@heicaibaog · 83,694#21
@baoguangba088 · 246,766#22
@nx123 · 802,474#23
@dnyxst · 91,802#24
@dnyawtt · 54,157#25
@cctv_dy · 67,037#26
@tghuarenba · 21,956#27
@a0159 · 128,791#28
@dny099 · 64,544#29
@dsj665 · 106,534#30
@dnyxinwen668 · 61,810#31
@uuuuuf · 30,864#32
@makatinews · 55,848#33
@xinwen118 · 106,883#34
@dubaixinwen2 · 218,791#35
@miandianhuarenzixun · 97,061#36
@bx666 · 467,524#37
@BG_BG8 · 16,081#38
@svipzz · 44,740#39
@DNYXSTJL6668 · 14,292#40
@feilvbinhuarenzixun · 96,053#41
@feilvbinghuarenriji · 10,957#42
@tg89aa · 65,554#43
@vipn8888 · 79,873#44
@quanqiubaoliao · 232,295#45
@quanwangbaoguangb · 164,107#46
@bvl222 · 65,516#47
@dongnanya108 · 174,510#48
@TGPG999 · 4,896#49
@DNYKX · 60,162#50
@huaren_zixun · 121,397#51
@DNYXW008 · 142,424#52
@DNYBGT · 6,060#53
@dnybgtt · 54,808#54
@xinwenTV5 · 10,933#55
@gejige · 107,969#56
@kz692nn · 105,713#57
@davydovin · 1,918,295#58
@russianonwars · 100,812#59
@busuzimacalls · 1,603#60
@XmindsCoin · 3,371#61
@chadnag001 · 62,776#62
@ukr_shvydko · 310,725#63
Read from Telegram’s recommendation API, most recently 14 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.
@dnyqqbj · 113,450
Telegram ranks this channel #3 of 72 here — alongside 71 others — read 14 August 2026
@jiandan8884 · 125,241
Telegram ranks this channel #4 of 35 here — alongside 34 others — read 13 August 2026
@bx66664 · 145,707
Telegram ranks this channel #7 of 62 here — alongside 61 others — read 13 August 2026
@dnyuuu88 · 121,327
Telegram ranks this channel #19 of 63 here — alongside 62 others — read 14 August 2026
@GGooGG66 · 119,844
Telegram ranks this channel #49 of 64 here — alongside 63 others — read 14 August 2026
@visual_hedonist · 340,577
Telegram ranks this channel #55 of 63 here — alongside 62 others — read 10 August 2026
@ukr_shvydko · 310,725
Telegram ranks this channel #69 of 76 here — alongside 75 others — read 10 August 2026
@davydovin · 1,918,295
Telegram ranks this channel #78 of 94 here — alongside 93 others — read 8 August 2026
This channel appears in 8 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人新闻曝光” (@bgdsj26), 123,171 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/bgdsj26.
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.