#突发事件:西港星汇一驴子寻死跳楼。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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Channel
@ttkb0
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
94,077subscribers
-13,092 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001411735188 |
|---|---|
| Type | Channel |
| Usernames | @bgtgq @ttkb0 |
| Description | #新闻 #柬埔寨 #迪拜 #菲律宾 #缅甸 要点资讯,安危事件,曝光爆料,时事新闻,社会热点推送。 广告合作/业务对接/投稿曝光 请联系: @dbx_x |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 117 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/ttkb0 |
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 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 20:05 | 94,077 | -110 |
| 10 Nov 2026, 13:59 | 94,187 | +4,424 |
| 9 Nov 2026, 07:46 | 89,763 | +4,303 |
| 8 Nov 2026, 21:56 | 85,460 | -1,704 |
| 7 Nov 2026, 22:07 | 87,164 | -557 |
| 7 Nov 2026, 15:16 | 87,721 | +159 |
| 6 Nov 2026, 20:07 | 87,562 | +269 |
| 6 Nov 2026, 14:28 | 87,293 | -2,382 |
| 5 Nov 2026, 19:17 | 89,675 | -65 |
| 5 Nov 2026, 12:38 | 89,740 | +1,112 |
| 4 Nov 2026, 21:25 | 88,628 | -26 |
| 4 Nov 2026, 14:40 | 88,654 | +698 |
| 3 Nov 2026, 22:01 | 87,956 | -187 |
| 3 Nov 2026, 14:46 | 88,143 | +571 |
| 2 Nov 2026, 19:50 | 87,572 | -8 |
| 2 Nov 2026, 14:47 | 87,580 | +654 |
| 1 Nov 2026, 21:36 | 86,926 | -250 |
| 1 Nov 2026, 12:58 | 87,176 | -336 |
| 31 Oct 2026, 17:56 | 87,512 | -114 |
| 31 Oct 2026, 12:28 | 87,626 | first reading |
1,520 posts held, back to 10 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 184 pages of 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. It is computed over the 271 of 364 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 1,520 (10 August 2026 – 5 November 2026) |
| Views total | 1,746,085 |
| Reactions total | 2,856 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 05:14 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.
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Measured directly from 289 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.
9,921 reactions across 776 posts, in 34 distinct kinds. The most used accounts for 11.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,166 | 11.8% | |
| 🥰 | 1,038 | 10.5% | |
| ⚡ | 938 | 9.45% | |
| 👏 | 862 | 8.69% | |
| 🎉 | 848 | 8.55% | |
| 👍 | 803 | 8.09% | |
| 😁 | 798 | 8.04% | |
| custom 6337059894029457919 | 766 | 7.72% | |
| 🤩 | 728 | 7.34% | |
| custom 6336890895656296168 | 311 | 3.13% | |
| custom 6336956466922004318 | 286 | 2.88% | |
| 👾 | 260 | 2.62% | |
| custom 6305529585626782537 | 228 | 2.30% | |
| 🙉 | 200 | 2.02% | |
| 🤡 | 200 | 2.02% | |
| custom 6089143880509300614 | 167 | 1.68% | |
| ❤ | 107 | 1.08% | |
| custom 6334869207305427487 | 63 | 0.635% | |
| 🦄 | 60 | 0.605% | |
| custom 6334823474493660666 | 27 | 0.272% | |
| 14 further kinds | 65 | 0.655% |
Custom emoji. 7 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 776 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 9,921 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 10 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ttkb0. 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 10 September 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.
Telegram’s own ‘edited’ marker: 67 of 365 posts held from the last 30 days (18.4%) 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).
#突发事件:西港星汇一驴子寻死跳楼。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#群友投稿:不管你是过来打工、投资开公司,还是想来老挝找伴侣成家 下面这些坑,一旦踩进去,轻则亏几万,重则坐牢,都是我亲眼接触的真实案例,按时间线跟大家说清楚。 第一,办邀请函别贪便宜。为省一两百拿到假邀请函,入境直接被遣返;还有的邀请函没有劳工审批,入境之后拿到的是系统查不到的假工作证,遇上检查直接出大事。 第二,入境的时候,核对签证类型和邀请函批文,确认盖好入境章!当场检查,有问题马上找出入境,别等到后面出境、被查才发现。 第三,国内车带到老挝想上当地车牌,小心假牌照、假完税证,交警系统一查就露馅,罚款上万甚至直接扣车。 第四,代办老挝结婚证是高危大坑!很多证公章签名全是伪造的,一旦查到,人先被拘留,还可能被控伪造公文、涉人口贩卖,起步量刑5年。 第五,工作证、暂住证假证特别多。中介层层转包,纸质证看着没问题,系统没有记录,被查到照样带走问话,语言不通百口莫辩,证件真假不能只听中介说。 第六,网上号称能办假中国…
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#最新消息:帅不过三秒已逮捕 枪手20分钟就逮住了,现在的柬埔寨是真乱,这个叼毛也够头铁的,在警察局附近就敢开枪。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#网友投稿 今天凌晨果敢老街银丰路又带走一车,估计是交钱没交到位被摁了 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#群友反馈:西港大江酒店对面发生枪击事件,一女孩被一个男的打了一枪,不知道是因为什么。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#网友曝光 黄山国际酒店股东、太子集团刘忍团伙核心成员 刘丰 我出资开盘,项目做起来后,你一分分红不给,还吞了全部本金;员工出事你也置之不理。我知道你现在人在马来西亚,如果你现在出来还我们200万美金,这事就算了。 如果不解决,你躲着也没事,我再多花100万,看看你家里人还能不能好好生活下去。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#网友曝光 缅甸妙瓦底交克山上有一家黑公司,就在离新泰昌不远的地方,坐标(16.4605845, 98.6503078)。 这家公司现在藏在交克山上的一个小院子里,不是什么正规园区,就是几间平房伪装起来的。 物业老板叫阿龙,也叫龙哥,人瘦瘦的,听说跟那边部队领导关系很好。 公司原来在新泰昌园区,后来因为打仗才搬到山上避难。听说幕后原本有三个老板,具体是谁不认识,后来公司被其中一个老板吞掉了。 公司被吞掉以后,幕后老板把原来的管理全部赶走了。现在的管理叫阿来,福建龙岩人,员工都叫他来哥。 当初上山的时候,阿来跟我朋友他们说,等下山就放人回家。结果下山后又改口,说要做到明年才能回去。我朋友说根本就没打算放人! 我朋友他们已经在这家公司干了整整三年,到现在还不让回家! 阿来自己不懂业务,公司现在又没什么业绩,只会对下面员工搞高压管理,天天体罚、打人。之前还听说公司有人跳楼。 前段时间跑了几个人,现在除了阿来,其他人谁…
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#网友投稿:在柬埔寨说生意不好的,多做做本地人的生意,本地有钱土豪也很多,中国人不赚中国人,要赚外国人的钱,才算真本事! 你赚不到外国人的钱,就说明你根本不适合出国!既然出国了,就要勇敢赚外国人的钱 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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👀 柬埔寨|马来西亚|菲律宾|泰国|越南 烟 · 酒 · 茶|名表 · 名包 · 珠宝|实体门店 😍多国实体门店 · 线下经营 😍 酒庄批发配送,精品烟酒 😍 精选茶叶,高品质茶品 😍名表 · 名包 · 珠宝回收 😍黄金 · 名表 · 奢侈品回收及典当 🐋免费上门估价 🐤快速服务 · 价格合理 🍈 全程保密 · 安全可靠 🌍业务众多 · 长期合作 🦧覆盖多个东南亚地区,实体门店服务更安心! 😍Telegram:@x_ovo 欢迎咨询|长期合作|诚邀代理与商务合作
#群友分享 #重生之路之我再越南放牛 这些年走过了许多国家,同样也端过盘子擦过桌,见过太多的勾心斗角尔虞我诈,现在能平安健康的也感到欣慰,刚刚出来的时候总是立志要出人头地衣锦还乡,但拼了那么多年结果也还不是一无所有,至少也被累着了,停下来时不敢回头去看我逝去的青春,现在回到农村过着与世无争安静的生活反而觉得十分满足。 幸福不属于穷人同样也不属于富人,而是属于知足的人、此时我就是知足的那个人、祝各位还在打拼的同胞马到成功万事如意。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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巴域木牌昨天抓了26名中国人 昨天下午,柴桢省副省长孟英率领多部门联合执法工作组,在巴域市巴域分区达包村成功捣毁两处隐藏极深的电信网络诈骗窝点,并查获大量作案设备与涉案人员。 行动中,执法人员在两处窝点共查获26名中国籍嫌犯及2名柬埔寨籍清洁工,并缴获笔记本电脑、多台一体机、数十部手机及车辆等证物。 经查,两处窝点均采用高明的伪装手段:第一处以餐馆和旅馆为掩护,内部通过凿穿洗手间墙壁打通密道,并设铁梯备逃;第二处则以幼儿园和酒店作掩护,不仅利用衣柜作为暗门,还在后墙处搭设暗号逃生点。 目前,所有嫌犯及涉案物证已移交柴桢省警察局网络犯罪反恐办公室依法处理。 ⭐关注头条快报:@ttkb0 ⭐投稿商务: @dbx_x
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#小菲分享 #我和中国丈夫的爱情故事 大家好,我是一名在中国生活的菲律宾女生,丈夫和公婆都对我非常好,给了我应有的疼爱和尊重 ❤️ 我们的相识 我和丈夫第一次认识是在2021年,通过 Facebook 上的交友平台认识的。 一开始只是简单地打了声招呼,后来慢慢聊了很多话题。 2021年7月,我们开始在 Facebook 上认识彼此。2021年9月,我们第一次见面。我们当时住在同一个城市,也就是马尼拉的帕赛市(Pasay)。 我丈夫当时没有任何不良企图,他邀请我去海底捞(Haidilao)吃晚餐。吃完饭后,我们又去海边闲逛,一边喝星巴克(Starbucks)。 时间来到2021年12月,他正式向我表白。交往了几个星期后,我答应了他。 他是一个非常有绅士风度的男人,我从来没有在他身上感受到任何不好的地方。 2022年4月,我们第一次发生了亲密关系。之后,他邀请我和他一起同居,还告诉我,他已经在 Shore 附近找到了…
👏7😁3🔥2👀1👾1🤩1custom 63369564669220043181
Showing the 12 most recent of 1,520 posts we hold for @ttkb0. 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.
@ttkb0 edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 1 post on @ttkb0 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.
Named by 2 registered channels — 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.
@ttkb0 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
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.
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.
This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“头条快报” (@ttkb0), 94,077 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ttkb0.
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.