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Channel

东南亚新闻热点曝光社-78.com独家冠名

@JPZXWB

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

233,876subscribers

+12,582 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001604279630
TypeChannel
Username@JPZXWB
Description聚焦时事 共享本地资讯 商务合作 投稿爆料: @xuemeiniang1
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/JPZXWB

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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.

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 in near-verbatim form on 5 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@JPZXWB/20235 · this entry26 Aug 2026, 16:10 UTC@dny1102/971626 Aug 2026, 16:10 UTC1.00under a minute
@JPZXWB/20426 · this entry28 Aug 2026, 13:21 UTC@dny1102/979228 Aug 2026, 13:21 UTC1.00under a minute
@JPZXWB/21306 · this entry6 Sept 2026, 14:14 UTC@dny1102/102956 Sept 2026, 14:14 UTC1.00under a minute
@JPZXWB/21602 · this entry10 Sept 2026, 12:41 UTC@dny1102/1050410 Sept 2026, 12:41 UTC1.00under a minute
@JPZXWB/23813 · this entry4 Oct 2026, 14:47 UTC@dny1102/122414 Oct 2026, 14:47 UTC1.00under a minute
@JPZXWB/24163 · this entry8 Oct 2026, 14:10 UTC@dny1102/125218 Oct 2026, 14:10 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@dny1102600 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (599–1)
@XWBG2172 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (172–0)
@tg0427758 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (58–0)
@haiwai_xw15 (7/8 hand-verifiable sample passed)1.002.0 hoursthis entry (15–0)
@ZFJCG5 (5/5 hand-verifiable sample passed)1.0013 hoursthis entry (3–2)

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. 3 of the 3 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 1,431 comparable posts for this entry, running 7 August 2026 to 10 November 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).

Of the group of 4 channels, the one whose matching posts we hold earliest is @JPZXWB — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

218,725237,141227,933233,8767 August 202610 November 2026
64 measurements spanning 95 days, net +12,582. 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 215,963–239,903 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 17:51233,876+2,250
9 Nov 2026, 06:27231,626-3,793
7 Nov 2026, 19:48235,419-1,722
6 Nov 2026, 19:50237,141+825
5 Nov 2026, 22:07236,316+224
4 Nov 2026, 19:50236,092-122
3 Nov 2026, 20:58236,214-570
2 Nov 2026, 21:07236,784+7,580
1 Nov 2026, 21:28229,204-2,089
31 Oct 2026, 20:28231,293+2,613
30 Oct 2026, 18:48228,680-2,671
29 Oct 2026, 21:26231,351-594
28 Oct 2026, 23:07231,945-578
28 Oct 2026, 00:41232,523+1,215
27 Oct 2026, 03:15231,308+853
26 Oct 2026, 04:08230,455+1,715
25 Oct 2026, 05:16228,740-3,442
24 Oct 2026, 02:51232,182-372
23 Oct 2026, 03:56232,554+1,674
22 Oct 2026, 03:07230,880first reading

Engagement

1,556 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.35%
avg views ÷ 233,876 subscribers
Avg views / post
5,500
450 posts measured
Reaction rate
0.03%
reactions ÷ views · ER floor
Posts in window
450
of 1,556 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 7 of 450 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 10 November 2026
Posts held1,556 (7 August 2026 – 10 November 2026)
Views total2,473,860
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:10 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
≈19,900
Videos
≈368
Links
≈9

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.

Video runtime
4m 48s
Average length
4s

Measured directly from 79 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

382 reactions across 174 posts, in 9 distinct kinds. The most used accounts for 16.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩6116.0%
😁4712.3%
👏4511.8%
🔥4311.3%
🎉3910.2%
🥰3910.2%
❤379.69%
👍379.69%
⚡348.90%

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 176 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 382 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 12 September 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 450 posts held from the last 30 days (0.222%) 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).

10 Nov 2026, 15:16 UTC31 viewsread 11 November 2026
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#泰国新闻 那拉提瓦查获34.9万包走私香烟 泰国那拉提瓦府警方与税务官员周一在塔克拜区一处废弃房屋开展联合搜查,起获34.9万包未缴税香烟,合计698箱,货值约3140万泰铢,欠缴消费税超2190万泰铢,预估罚款高达3.28亿泰铢。 当局正在追查这批走私烟和8月当地另一宗大规模香烟走私案的关联,核查两处仓库是否属于同一走私网络。消费税部门表示,非法香烟是本财年前九个月查获数量最多的涉税商品。2025年10月至2026年6月,全泰一共记录29411起消费税违规案件,罚款总额8.17亿泰铢;单6月就拘捕3104人,罚款7360万泰铢,其中烟草类案件1993起,占当月案件六成以上。边境府域和主干道路,特别是泰国南部,是走私重点监控地带。

10 Nov 2026, 14:42 UTC29 viewsread 11 November 2026
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#柬埔寨新闻 茶胶省省长走访巨型大头虾雕像景点,呼吁商家诚信经营 11月10日下午,柬埔寨茶胶省省长威松南到访茶胶湖畔的巨型大头虾雕像网红景点,和游客、当地大头虾商贩交流。这座地标在10月底正式启用,在社交平台走红,周末平均能吸引约2万名国内外游客。 省长鼓励商贩热情待客,做好服务留住游客,同时明确要求商家诚信经营,严禁哄抬价格,也不能把养殖大头虾冒充野生大头虾出售,避免侵害游客权益、拖累当地旅游口碑。

10 Nov 2026, 14:14 UTC≈11,300 viewsread 11 November 2026
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#柬埔寨新闻 2026年柬埔寨腰果与胡椒贸易论坛举行 11月10日,2026柬埔寨腰果与胡椒贸易论坛举办,主题为“从柬埔寨走向全球市场”以及“与欧盟进行贸易”,商业部部长占妮茉、工业科技创新部部长韩万迪、农林渔业部部长邓迪那、德国驻柬大使西尔克·罗弗等人出席。论坛聚焦腰果、胡椒两大优势农产品,帮助农户、商户熟悉欧盟市场准入条件,拓展外销渠道。 占妮茉表示,柬埔寨正落实《2022-2027腰果国家政策》,持续推进贸易多元化,巩固优质农产品供应国地位。海关数据显示,2025年腰果加胡椒出口总额8.4亿美元;2026年前十个月已经增长至12.21亿美元,其中腰果出口11.92亿美元,同比上涨47.64%,胡椒出口近2900万美元,主要销往越南、德国、法国、意大利、巴基斯坦以及欧盟多国。 与会各方围绕产品标准、品质管控、加工包装、适配国际采购需求等议题交流,搭建农业贸易信息对接平台。

10 Nov 2026, 13:52 UTC≈10,800 viewsread 11 November 2026
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#泰国新闻 OpenChat线路被误用用于泰国学校的网络欺凌 泰国多地出现学生借助LINE OpenChat群组实施网络欺凌的情况,教育部已经要求平台关停相关群组。这类群组大多以泰语“揭露”一词命名,标注学校或省份,依靠匿名功能,聚集数百上千名学生,散播他人私密照片、个人信息,进行辱骂、骚扰。 那空拉差差玛、暖武里、清迈等多个省份已有家长报警。群组里的账号可以使用别名和独立头像,但账号依旧绑定主账户,当局能够溯源追查。副教育部长阿卡拉南指示各地儿童权利保护中心上报这类欺凌群组,和平台沟通,预计周二晚间完成关停,其余正常群组不受影响。 涉事学生多为中小学生,校方已经开展宣讲引导。相关行为可能触犯诽谤条例以及《儿童保护法》,查实之后,涉事学生的家长也可能需要承担相应责任。教育部门联合多部门联手处理,同时提醒家长多加留意孩子上网情况。

10 Nov 2026, 13:37 UTC≈10,300 viewsread 11 November 2026
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10 Nov 2026, 13:26 UTC16 viewsread 11 November 2026
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#柬埔寨新闻 茶胶省特兰卡县近2000户洪灾家庭获政府紧急救援物资 11月10日上午,柬埔寨茶胶省省长威松南带队,联合官员、武装力量与地方当局,前往特兰卡县发放救灾物资,惠及当地4个乡一共1945户洪灾家庭。 省长现场转达国家领导层对灾民的慰问,承诺不会让民众缺粮受困,哪里有灾情,政府就会到哪里支援。他提到,洪水虽难以避免,但柬埔寨民众团结互助的传统是共渡难关的力量,政府始终把民众安危放在首位。 每户灾民领到25公斤大米、一箱瓶装水、一箱方便面、罐头鱼、鱼露以及酱油等生活物资,缓解当下的生活困难。

10 Nov 2026, 13:03 UTC≈11,100 viewsread 11 November 2026
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🥰🥰🥰🥰⚡️⚡️⚡️⚡️ 😀😀😀😀😀😀😀😀 😀 🤩🤩🤩🤩😀😀😀 😀😀😀😀 🤩新人首存最高赠送😀😀😀😀😀😀 🤩全新代理合作模式❤️❤️🔤永久留存 🤩电子百家乐0审核 0风控 包出款 🤩全网U投综合盘N0.1 欢迎大哥来操 🤩盈亏大赠送 雪中送炭不如锦上添花 🤩公信力保障、即时开奖、公正透明 🤩储备金以亿为单位 大额秒出无上限 😀全球布局 · 100%保障出款 · 秒充秒提 😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀 🤩🤩🤩🤩:PG.app 🤩🤩🤩🤩:@PGAPPTGBOT 🤩🤩🤩🤩:@PGAPP888 🤩🤩🤩🤩:@PGAPP666

10 Nov 2026, 12:50 UTC17 viewsread 11 November 2026
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#柬埔寨新闻 柬埔寨红十字会菩萨省分会向当地孕产妇及艾滋病病毒感染者捐赠物资 11月10日,柬埔寨红十字会菩萨省分会工作组前往韦文县洪森特莫达卫生中心,慰问待产、产后妇女以及艾滋病病毒感染者,发放人道物资。本次活动由分会名誉副主席安苏佳达带队,分会执行主任万亨、医护人员、红十字青年志愿者一同参与。 安苏佳达表示,母婴照护关系孩童成长,也是培育国家人力资源的根基,这次活动是遵照红十字会主席文拉妮的指示开展,持续关心母婴健康。她也给出健康建议,孕妇至少完成4次产检,身体不适则增加至8次;有状况要到设施完善的省立医院生产,产后前六个月坚持纯母乳,按时给孩子接种疫苗,孕产妇也要保证营养与充足睡眠。

10 Nov 2026, 12:19 UTC≈7,660 viewsread 10 November 2026
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#泰国新闻 泰国内阁批准数据中心行业监管新规:0.5兆瓦及以上项目纳入审批许可管理 11月10日,泰国副总理兼财政部长艾尼提在内阁会后宣布,内阁正式通过数据中心监管政策,建立统一经营标准与审批制度,用电功率0.5兆瓦及以上的数据中心项目都需要申请许可。 政策交由数字经济与社会部搭建一站式服务中心OSS,设立专项审核委员会,统一办理项目审批,敲定各部门执行细则,获批项目必须达到最低标准,保障项目为泰国带来实质效益。 艾尼提提到,数据中心是AI、数字经济的基础配套,近年发展迅猛,但耗水耗电量大,还会对周边社区造成影响。过去泰国缺少统一规范,各部门分头审批,出现投资方提前抢占电力配额、倒卖配额,未获批就先行施工等乱象,总理为此设立专项委员会,制定这套统一监管框架。

10 Nov 2026, 11:51 UTC≈11,000 viewsread 10 November 2026
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#柬埔寨新闻 柬埔寨制定2027年国家预算优先事项,聚焦经济韧性与民生保障 柬埔寨国会举办研讨会,研讨2027年国家预算编制,本次会议由国会第一副主席姜叶主持,主题围绕宏观经济与公共财政框架,服务2027年财政管理法草案。 会议敲定2027至2029年战略预算三大方向:提升预算透明度与资金使用效率、强化社会经济抗风险能力、适配发展需求推动可持续增长。副首相兼财经大臣翁本莫尼洛在会上透露,2026年柬埔寨经济增速预估约4%,2027年有望提升至4.8%。受全球经济波动、油价上涨、数字犯罪、柬泰边境口岸关闭等因素影响,增长预期有所下调。政府秉持乐观谋划、底线设防的思路,兼顾应急处置与财政长期稳定。 参会高层呼吁各部门紧密配合,落实预算的透明化与问责机制,支撑国家长远发展。

9 Nov 2026, 15:17 UTC≈11,100 viewsread 10 November 2026
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#柬埔寨新闻 国家安全委员会秘书长:泰国每日面临网络威胁 国家安全委员会秘书长柴普鲁克·东巴帕特将军表示,泰国每天都遭遇针对政府部门、银行与关键基础设施的网络攻击,黑客开始借助人工智能搜寻系统漏洞,防御压力持续加大。 在阿努廷主持的国安会议上,相关部门研判中东局势与网络安全风险,下令全行业提升防护等级,完善网络危机应急预案。网络安全防护分为三级管控,常态下由国家网络安全局与数字经济与社会部值守,重大危机则交由国家安全委员会统筹处置。 泰国央行确认国内银行系统运转稳定,银行一旦发现异常将立刻处置,保障储户资金安全。政府还计划搭建国安行动中心,统筹政企各方的应急响应。教育部也将组织研讨,补齐网络安全人才与技术短板。 阿努廷称,国内应急准备已经到位,民众可以正常生活,相关机构会持续筑牢网络防线。本次会议暂未审议72小时危机响应计划,该方案由灾害预防与减灾部制定。泰国银行与证券交易所负责人到场接收安保工作指示。

9 Nov 2026, 14:43 UTC≈11,700 viewsread 10 November 2026
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#柬埔寨新闻 洪玛奈:职业军人与义务兵身份平等,严禁歧视 11月9日下午,柬埔寨首相洪玛奈在实居省的义务兵开训仪式上表明,职业军人和义务兵肩负一样的卫国职责,在军队内部不允许存在任何歧视。 他说,义务兵服役结束后,经评估可以申请转为职业军人,二者同属柬埔寨王家军。各部队指挥官必须落实平等原则,在管理、机会、任务分配上一视同仁,不能刻意区分。这项安排有助于凝聚军心、壮大国防力量,让更多青年有机会守护国家。

Showing the 12 most recent of 1,556 posts we hold for @JPZXWB. 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

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚新闻热点曝光社-78.com独家冠名” (@JPZXWB), 233,876 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/JPZXWB.

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.