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Channel

吉安 缅甸新闻 大事件 吃瓜铺

@JanCG168

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

28,971subscribers

+9,629 since we began measuring on 15 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002471950616
TypeChannel
Username@JanCG168
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live7 September 2026
Measurements held20
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/JanCG168

Growth

15,18132,80023,990.515 August 2026 — 19,342 subscribers15 August 2026 — 17,859 subscribers17 August 2026 — 15,181 subscribers18 August 2026 — 32,800 subscribers19 August 2026 — 32,314 subscribers20 August 2026 — 31,903 subscribers21 August 2026 — 31,837 subscribers22 August 2026 — 31,669 subscribers24 August 2026 — 31,583 subscribers25 August 2026 — 31,490 subscribers26 August 2026 — 31,463 subscribers27 August 2026 — 31,455 subscribers28 August 2026 — 31,319 subscribers29 August 2026 — 31,224 subscribers30 August 2026 — 31,068 subscribers31 August 2026 — 29,947 subscribers1 September 2026 — 28,670 subscribers3 September 2026 — 27,762 subscribers4 September 2026 — 25,913 subscribers7 September 2026 — 28,971 subscribers28,97115 August 20267 September 2026
20 measurements spanning 23 days, net +9,629. 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 12,538–35,443 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 02:1528,971+3,058
4 Sept 2026, 10:3925,913-1,849
3 Sept 2026, 01:2527,762-908
1 Sept 2026, 22:1428,670-1,277
31 Aug 2026, 18:4829,947-1,121
30 Aug 2026, 18:1231,068-156
29 Aug 2026, 15:0631,224-95
28 Aug 2026, 15:2431,319-136
27 Aug 2026, 14:5831,455-8
26 Aug 2026, 11:3231,463-27
25 Aug 2026, 09:5831,490-93
24 Aug 2026, 07:1531,583-86
22 Aug 2026, 18:1731,669-168
21 Aug 2026, 07:0431,837-66
20 Aug 2026, 05:3431,903-411
19 Aug 2026, 04:5432,314-486
18 Aug 2026, 07:2232,800+17,619
17 Aug 2026, 09:4915,181-2,678
15 Aug 2026, 19:2617,859-1,483
15 Aug 2026, 06:0019,342first reading

Engagement

266 posts held, back to 14 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 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.053%
avg views ÷ 28,971 subscribers
Avg views / post
15.4
266 posts measured
Reaction rate
5.63%
reactions ÷ views · ER floor
Posts in window
266
of 266 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 14 of 266 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 3 September 2026
Posts held266 (14 August 20263 September 2026)
Views total4,105
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:45 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.

What this channel posts

Video runtime
1h 19m
Average length
55s

Measured directly from 86 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

18 reactions across 13 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18100.0%

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 14 of the 266 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 266 most recent posts we hold, published 14 August 2026 to 3 September 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

3 Sept 2026, 11:08 UTC5 viewsread 3 September 2026
Video

#从妙瓦底走路返乡的昔卜男子 一名来自掸邦昔卜镇的31岁男子,因生活所迫重返妙瓦底水沟谷新城找工作,但原工地已解散,无处可去,露宿街头。 昨天(9月1日)他饿极了,在店里吃了炒面,但因没钱付账(一万五缅币),店家扣留了他的身份证和智能卡。 他打算步行回昔卜,昨晚因疲惫在寺院留宿,并向求助者(比翁)讲述了遭遇。 求助者原计划今天去帮他赎回证件,但店已关门,只能明天再去办理。

3 Sept 2026, 09:06 UTC12 viewsread 3 September 2026
Photo

#领土划分谈不拢,果敢同盟军暂缓赴内比都会谈 在缅甸军管会推动“百日和平”会谈期间,多支民族武装已前往内比都谈判,但与军方停火的果敢民族民主同盟军(MNDAA)仍未加入。 消息人士称,主要原因是双方在实际控制区划分问题上存在分歧。军方要求果敢同盟军归还贵概(Kutkai)和兴威(Hsenwi)等地区,而同盟军方面尚未接受这一条件,因此暂未计划前往内比都会谈。 果敢同盟军此前在“1027行动”中控制掸邦北部大片地区,并一度占领腊戍及东北军区司令部。2025年在中国斡旋下双方达成停火,腊戍随后交还军方,但兴威、贵概、滚弄等多个地区仍由同盟军控制。 8月底,双方在腊戍再次会面后,果敢同盟军释放了100多名政府军战俘。目前,腊戍至木姐贸易通道以及清水河、105码贸易区等重要区域仍由同盟军及盟友控制。 分析人士认为,只要领土问题没有解决,果敢同盟军与军方的高层政治谈判就难以推进。不过,由于中国持续介入调停,掸邦北部爆发大规模冲突

3 Sept 2026, 09:05 UTC2 viewsread 3 September 2026
Photo

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3 Sept 2026, 09:05 UTC5 viewsread 3 September 2026
Photo

🚒🚐🛻🚚🚛🚜🦯 🩷❤️🧡💛💚🩵💙💜🖤🩶 全新游戏体验来袭,炫酷画面,丰富玩法一次开启! ⚡️ 多种热门游戏任你选择 😝 精彩活动持续上线 ⚡️ 幸运时刻,等你来挑战! 😀现在就进入M.GAME开启属于你的精彩时刻! 😀M.GAME|欢乐不停,惊喜不断! 🤣🥲☺️😃😄😁😊😊😇 🥹😅😂🙂🙃😉😌😍🥰 😀关注官方频道参与更多优惠活动! 😀欢迎各位老板加入M.GAME娱乐城! ⚡️官方客服:@CSKH ⚡️官方飞投:@mgamezh_bot ⚡️官方频道:@mgame9527 ⚡️代理招商:@PaiGu008 ⚡️注册网址:M.GAME【USDT】 ⚡️注册网址:M.GAME【人民币】

3 Sept 2026, 09:04 UTC3 viewsread 3 September 2026
Photo

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3 Sept 2026, 09:04 UTC2 viewsread 3 September 2026
Video

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3 Sept 2026, 07:26 UTC16 viewsread 3 September 2026
Video

#勐拉 #车祸 #勐拉赌场 #网友投稿 今天勐拉怎么出那么多车祸,大家出门在外要小心,皇家赌场路口一辆摩托直接进沟里,不知道人怎么样

3 Sept 2026, 05:56 UTC24 views2 reactionsread 3 September 2026
Video

#勐拉 #车祸 #猛拉 #网友投稿 哪个人才撞了人还逃跑,刚好在领导家前面,当兵的鸣枪才停,视频二是被抓了三个人才。

2

3 Sept 2026, 05:55 UTC22 viewsread 3 September 2026
Video

#吃瓜 听说这两个小老缅,是在学校里面同时喜欢一个女生, 然后双方谁都不让谁,下课真男人1v1😏😏

3 Sept 2026, 05:54 UTC20 viewsread 3 September 2026
Photo

#老挝 警方捣毁3处涉赌诈窝点,抓获52人 据老挝媒体9月2日报道,8月25日至27日,乌多姆赛省公安厅联合属地警方,在孟昏县、巴本县同步收网,捣毁3处网赌电诈窝点,抓获52名嫌疑人。涉案人员涉及中国、越南、老挝等6国,其中中国籍25人、越南籍17人。 现场查获电脑28台、手机21部及3套星链设备。经查,该团伙8月初从金三角特区转移至此,在洪县租房藏匿,启用仅8天即被查处。目前,警方正深挖幕后组织者及资金链条。

3 Sept 2026, 05:54 UTC19 viewsread 3 September 2026
Photo

#缅甸民族民主同盟军 禁止售卖以上几种商品。 果敢民族同盟军已禁止在学校零食摊位销售带有中文标识的不健康零食。 果敢军教育局和卫生局于9月1日联合发布声明,题为“禁止在学校零食摊位销售危险零食(垃圾食品)”。 儿童每天购买和食用的10种零食含有环己基氨基磺酸钠(一种人工甜味剂),可能损害肝肾:特丁基对苯二酚(一种防腐剂),会损害神经;苋菜红(一种红色染料),会影响智力发育:磷酸盐化合物,会影响骨骼和关节发育:以及钠含量超过每日推荐摄入量。 自禁令发布之日起,已设定一个月的整顿期。商户须尽快清空剩余库存,不得再下新订单,否则将面临严厉处罚。 被禁售的10种零食分别是:辣魔方:佳龙辣条:亲嘴片辣片:素牛肚(却牙齿):香脆辣尔:玉米肠:素虾爬子:香辣金针菇:网红棒棒辣条:每日海苔辣片:多兴绿爽辣条。

3 Sept 2026, 05:54 UTC15 viewsread 3 September 2026
Photo

#缅媒报道 缅甸特大金融诈骗案主犯尼尼绥博山(ဒေါက်တာညီညီဆွေn),8月30日被法院判处43年监禁,全部资产没收国有。 该团伙以Galaxy Leader Group为名,通过线下宣讲、Telegram(电报纸飞机)社群推广,谎称投资国际股票、外汇,许诺每月15%高额利息,前期正常返利骗取信任,疯狂吸纳资金。受害者遍布仰光、曼德勒等多地,普通民众、难民均遭收割,部分寺院还将香火钱投入其中,有寺院被骗约5亿缅币,涉案总金额达数百亿缅币。 后期团队集体失联跑路,大量人蒙受巨额损失。虽然主犯获重刑,但资产上交国家,受害者的钱款基本无法追回。

Showing the 12 most recent of 266 posts we hold for @JanCG168. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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.

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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“吉安 缅甸新闻 大事件 吃瓜铺” (@JanCG168), 28,971 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/JanCG168.

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.