Telegram RegisterThe public register of Telegram

Channel

斯里兰卡大事件|东南亚吃瓜曝光

@zol_com_cn

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

138,274subscribers

+3,026 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002459815098
TypeChannel
Username@zol_com_cn
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/zol_com_cn

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 70% 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

135,248138,274136,7616 August 2026 — 135,248 subscribers6 August 2026 — 135,248 subscribers8 August 2026 — 135,731 subscribers9 August 2026 — 135,946 subscribers10 August 2026 — 135,971 subscribers11 August 2026 — 136,372 subscribers12 August 2026 — 136,690 subscribers13 August 2026 — 136,152 subscribers14 August 2026 — 138,274 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +3,026. 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 134,794–138,728 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 14:48138,274+2,122
13 Aug 2026, 06:54136,152-538
12 Aug 2026, 04:12136,690+318
11 Aug 2026, 03:31136,372+401
10 Aug 2026, 05:01135,971+25
9 Aug 2026, 03:53135,946+215
8 Aug 2026, 00:26135,731+483
6 Aug 2026, 22:45135,248no change
6 Aug 2026, 22:37135,248first reading

Engagement

108 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.41%
avg views ÷ 138,274 subscribers
Avg views / post
4,720
108 posts measured
Reaction rate
0.488%
reactions ÷ views · ER floor
Posts in window
108
of 108 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 102 of 108 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 14 August 2026
Posts held108 (6 August 202614 August 2026)
Views total509,662
Reactions total2,389
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 06:58 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

Video runtime
46m 24s
Average length
1m 56s

Measured directly from 24 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

2,389 reactions across 102 posts, in 5 distinct kinds. The most used accounts for 21.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍50721.2%
😁49620.8%
46919.6%
🎉46219.3%
🔥45519.0%

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 102 of the 108 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 2,389reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 108 most recent posts we hold, published 6 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

14 Aug 2026, 06:43 UTC4 views24 reactionsread 14 August 2026
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#老挝新闻 沙湾拿吉查获72名涉诈外国人,52名中国公民在内 2026年8月14日上午,老挝有关外国人管理部门联合经济保护警察部门,在沙湾拿吉省开展联合行动,查获一批与电信诈骗、电话中心活动有关的外国人员。 此次行动共抓获72人,其中女性8人。 从已公布的人员构成来看,中国公民52人,其中1名女性;越南公民8人,其中4名女性;缅甸公民1人,为女性;菲律宾公民1人,为女性。 其余为非洲国家人员,共7人,其中4人为埃塞俄比亚公民,1人为喀麦隆公民,另外2人来自其他非洲国家。这7人中有1名女性。 初步调查显示,部分被查人员除涉及电话中心诈骗活动外,还涉及非法入境、非法出境及相关走私活动。目前,这批人员已被移交有关部门,后续将按照老挝相关程序继续调查处理。

🎉97👍4😁3🔥1

14 Aug 2026, 06:29 UTC≈16,400 views23 reactionsread 14 August 2026
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#泰国新闻 泰国再查扣陈志1.15亿资产 8月13日,泰国反洗钱办公室召开第8/2569次交易委员会会议,批准对多起案件中的涉案资产采取法律行动,涉及毒品犯罪、公众诈骗、常态性诈骗、网络赌博及其他上游犯罪。 其中,备受关注的柬埔寨太子集团主席陈志案再添新进展。交易委员会决定对陈志及其同伙名下431项资产(包括现金、金饰、土地及地上建筑、数字资产等)实施追加扣押,价值约1.15亿泰铢(约合人民币2300万元)。此前该案已被冻结约3.45亿泰铢(约合人民币6900万元)资产,目前正由民事法院审理。累计冻结资产总额已超过4.6亿泰铢(约合人民币9200万元)。 此外,泰国反洗钱办公室还决定将13起案件、376项资产(价值约3.17亿泰铢)移交检察官,申请法院判决资产充公;并将4起案件、30项资产(价值约100万泰铢)移交检察官,申请法院判决归还受害者。

6🔥6🎉4👍4😁3

13 Aug 2026, 15:53 UTC≈4,440 views22 reactionsread 14 August 2026
Video

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🔥6😁6🎉43👍3

13 Aug 2026, 14:55 UTC≈30,300 views24 reactionsread 14 August 2026
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#斯里兰卡新闻 1093名外籍嫌犯落网!今年已开展24次行动打击网络诈骗 斯里兰卡警方8月13日通报,今年以来已通过24次突击行动,逮捕1093名涉嫌参与网络犯罪和金融诈骗的外籍人员。 斯里兰卡警方发言人、副警监伍特勒当天在新闻发布会上公布上述数据。此次发布会主要介绍全国性打击行动“Ratama Ekata”的阶段性成果。 伍特勒表示,2024年全年,斯里兰卡警方在26起案件中逮捕573名外籍犯罪嫌疑人;2025年至今则在两起案件中逮捕26人。相比之下,今年仅24次行动就抓获1093人,人数已接近2024年的两倍。 警方表示,针对目前被捕的外籍人员,相关法律程序已经启动,并正在着手安排将其遣返回原籍国。 不过,警方目前尚未公布1093名被捕人员的具体国籍分布,也未说明其中是否涉及针对斯里兰卡本国公民实施诈骗的案件,相关调查仍在进行中。

😁87🔥5👍3🎉1

13 Aug 2026, 14:33 UTC≈12,000 views22 reactionsread 14 August 2026
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#泰国新闻 网警跨两府开展抓捕行动,多名青少年盗用公职账号窃取政务数据,于暗网平台倒卖牟利 2026年8月12日,泰国官方监测到陆路运输厅、内政部行政厅海量民众与公职人员信息遭外泄倒卖,经溯源排查,三个拥有系统访问权限的公职账号存在异常调取记录。交通部紧急关停账号权限,督促关联单位统一重置系统密码规避风险。网络警方组建专案组追查线索,查明犯罪分子并未攻破数据库,而是盗用合规账号登录窃取隐私资料,核验IP锁定帕府、巴吞他尼府两处住址。警方申领搜查令上门搜查,抓获涉案青少年,查获大量电子涉案物证。嫌疑人盗取信息后在暗网、社交群组兜售个人资料,警方同步梳理线索,持续抓捕涉案同伙、查清完整作案链条。 盗用权限盗取政务隐私信息线上售卖,严重侵害民众权益与政务信息安全。整治网络黑灰产业、加固系统权限防护,才能杜绝信息泄露乱象滋生。

6🎉5👍5😁4🔥2

13 Aug 2026, 13:52 UTC≈13,100 views22 reactionsread 14 August 2026
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#越南新闻 Starlink 高速低延迟互联网落地越南,正式上线服务 Starlink 宣布其高速、低延迟互联网服务现已在越南上线。

👍76🎉4🔥3😁2

13 Aug 2026, 12:48 UTC45 views23 reactionsread 14 August 2026
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#泰国新闻 铲除北碧府毒品网络头目 缴获资产超830万泰铢 2026年8月12日,泰国禁毒委与曼谷警察总署联合开展“90天曼谷安全”行动,在北碧府桑卡拉武里县逮捕3名重要嫌疑人(含1名老挝籍),缴获及冻结总价值约830万泰铢的资产,包括建筑物及车辆。该行动源于2024年12月查获超1560万粒疯药的毒品案扩线侦查。

😁9🔥5🎉4👍32

13 Aug 2026, 12:04 UTC≈5,820 views22 reactionsread 14 August 2026
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13 Aug 2026, 12:04 UTC≈4,470 views23 reactionsread 14 August 2026
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13 Aug 2026, 11:57 UTC30 views23 reactionsread 14 August 2026
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#泰国新闻 中泰警方同步收网,泰国果干店盗刷信用卡超500万元,9人被抓 公安部8月13日通报,近日中泰警方同步收网,破获一起专门针对中国公民的跨国信用卡盗刷案,摧毁多个犯罪窝点,共抓获9名犯罪嫌疑人,其中4名中国籍、5名泰国籍。 警方查明,2024年,犯罪嫌疑人计某与肖某共谋,由计某在泰国开设果干店作为掩护,以使用银联卡消费可以打折为诱饵,非法获取受害人的信用卡信息。 随后,肖某利用这些信息制作伪卡,并招募人员进行盗刷、销赃牟利。目前已查明涉案金额超过500万元人民币。 2025年,上海公安经侦部门在公安部经侦局指导协调下,发现这一跨国犯罪团伙,并将案件情况和协查请求通报泰国警方。 2026年7月初,公安部派工作组赴泰国,与泰国警方联合办案。近日双方同步展开收网,中国警方抓获4名中国籍犯罪嫌疑人,泰国警方抓获5名泰国籍犯罪嫌疑人。 公安部表示,这是近年来中泰警方首次在打击经济犯罪领域同步开展联合执法行动。

8🎉4👍4😁4🔥3

13 Aug 2026, 10:18 UTC33 views22 reactionsread 14 August 2026
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#柬埔寨新闻 马德望省水沟惊现男尸,警方介入调查 马德望省一处水沟内发现一具男性遗体,当地警方已展开进一步调查。 初步判断该案或涉及谋杀,死者疑遭杀害后被弃尸于此。

🎉6😁6👍43🔥3

13 Aug 2026, 09:26 UTC≈2,910 views24 reactionsread 13 August 2026
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#菲律宾新闻 台风季连环灾害已致十六人遇难 菲律宾国家警察通报,受热带气旋路易斯与梅梅及增强的西南季风叠加影响,全国死亡人数已升至至少26人。其中16人死于本格特省碧瑶市、拉特立尼达及阿托克山体滑坡,另有7人因落石、溺水和触电等丧生,2人死于拉乌尼翁省及邦阿西楠省,1名警员在西内格罗斯省卡迪斯市溺亡。 在八打雁省,一名23岁海上巡逻队成员周一下午协助菲律宾海岸警卫队拖船时触电身亡,送医后不治。国家警察发言人表示数据仍有待减灾部门核实。全国已有约227万人受灾,近9.5万人暂居919个疏散中心。政府已发放逾7350万比索物资援助,部署3187名警察参与救灾,海岸警卫队协助419名滞留港口旅客。教育部证实碧瑶市山体滑坡中5名学生遇难,其中包含两名七年级及两名小学生。气象部门预计未来数日降雨趋缓,但西南季风仍将持续影响吕宋部分地区。此次灾害已造成基础设施损失约14.56亿比索,农业损失逾1.353亿比索。

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Showing the 12 most recent of 108 posts we hold for @zol_com_cn. 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

Citation-graph rank — 1,158,394 of 1,340,412entries 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.

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.

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.

“斯里兰卡大事件|东南亚吃瓜曝光” (@zol_com_cn), 138,274 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/zol_com_cn.

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.