Channel
@jdcmqq
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
12,063subscribers
-254 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002041847692 |
|---|---|
| Type | Channel |
| Username | @jdcmqq |
| Description | 导航群✅ @jiudiandh 🇻🇳越南新闻 @jdcmyn 🌐全球新闻 @jdcmqq 🇦🇪迪拜新闻 @jdcmdb 📲商务合作： @peking10 ☎️ 爆料投稿 @peking10 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/jdcmqq |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 09:27 | 12,063 | -16 |
| 11 Aug 2026, 11:53 | 12,079 | -5 |
| 10 Aug 2026, 09:22 | 12,084 | -139 |
| 9 Aug 2026, 09:52 | 12,223 | -29 |
| 8 Aug 2026, 10:57 | 12,252 | -65 |
| 7 Aug 2026, 18:32 | 12,317 | first reading |
141 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 13 pagesof 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 141 (7 August 2026 – 12 August 2026) |
| Views total | 604 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 12:45 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 12 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.
Measured directly from 26 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.
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#菲律宾资讯：又一名绑架犯罪嫌疑人被遣返 中国和菲律宾两国执法部门合作遣返了涉嫌在菲绑架中国公民的犯罪嫌疑人樊某某。樊某某来菲多年，曾从事网络赌博，后加入臭名昭著的施某某团伙，多次参与实施绑架犯罪。 必须指出，对于那些在菲律宾祸害同胞、丧尽天良的犯罪分子，中国警方追到海角天边，也要将其一个个缉拿归案，血债血偿。 [缅甸缅北东南亚新闻曝光 ]() ➡️ 关注 （主频道） 🤐粉丝投稿 : ⭐️点击进入游戏🌟 👉官方交流群，进群不定时发放红包，海量红包等你来抢！ 👉首充100U赠送38U ------------------------------------- 官方频道： @zzylvvip 官方群组： @vip_zzyl 游戏链接： @zzyl_bot 官方客服： @ZZYLvipbot ➖➖➖➖➖➖➖➖➖➖➖ 【中文导航站】 【全球新闻】 【反差偷拍】 【二手交易平台】 ➖➖➖➖➖➖➖➖…
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数万电诈人员回流柬埔寨？ 据报道，最近有不少灰产人员回流柬埔寨，包括从马来西亚、 缅甸等地返回柬埔寨的人员。另据官方数据，最近有10万名中国人入境柬埔寨。 有媒体援引柬埔寨移民总局局长宋斯威那公布的数据称，自免签政策以来至8月2日，已经有超过10万名中国人入境柬埔寨。其中4.45万人左右是以旅游目的免签入境，其余超过5.55万人持商务签等其他类型签证入境。 据柬媒报道，多名中资酒店餐饮、中介从业者表示最近有部分灰产从业者回流柬埔寨。其中有些是因为缅甸、老挝严打电诈返回柬埔寨，有些是因为马来西亚、泰国等地签证问题返回。 “虽然柬埔寨的打击动作很大，但一些盘口还是决定硬上。” 从今年1月太子集团陈志被抓以来，柬埔寨严打电诈，不少电诈等灰产人员转移到缅甸、老挝、马来西亚、越南等地。 但近日来这些国家打击电诈的力度也在加大。据社交媒体消息称，越南胡志明市的警察也已经开始挨家挨户敲门检查护照，老挝金三角特外地区也迎来地毯式排查…
#紧急求助 缅甸诈骗园区仍在扩张！ 据卫星图像及相关区域分析，过去六个月内，缅甸超过20个疑似诈骗园区被新建或大规模扩建。其中一个地点据称在今年1月至4月期间新增约24栋建筑。 这些园区的扩张引发了对人口贩运、非法拘禁、强迫劳动和网络诈骗的严重担忧。 同时，有严重指控称，DKBA 和 KNA 的部分势力可能为当地诈骗活动提供支持或从中获利。这些指控应立即得到独立调查和核实。 据报道，一些与中国有关的犯罪团伙仍在这些地区进行诈骗活动，而部分人员仍被困并遭受剥削。 如果相关地点和被困人员的情况已经被掌握，为什么他们还没有得到及时救援？ 紧急呼吁： • 立即查明并救出所有被困人员； • 调查相关诈骗园区及其背后的人员和势力； • 调查涉及 DKBA、KNA、人口贩运、强迫劳动和非法拘禁的指控。 请立即转发，让更多人关注这些被困人员。他们是真实的人，有家人在等待他们回家。他们需要的是救援，而不是沉默。请立即采取行动，救出…
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Showing the 12 most recent of 141 posts we hold for @jdcmqq. 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.
Citation-graph rank — 122,038 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 14 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“🌐全球新闻【转转娱乐赞助】” (@jdcmqq), 12,063 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jdcmqq.
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.