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Channel

缅甸缅北吃瓜新闻社区

@FeiDu11

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

145,119subscribers

+63,265 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-1002493914336
TypeChannel
Username@FeiDu11
Description专注于了解东南亚 缅甸 亚太 秒瓦地 朋友圈那些事,吃瓜、曝光 新闻 悬赏 文案 ➖➖➖➖➖➖➖➖➖➖ 🇰🇭柬埔寨新闻大事件: @kaleminews 🇵🇭菲律宾新闻大事件: @HaiBo44 🇦🇪迪拜新闻大事件: @HaiBo11 🇲🇲缅甸新闻大事件: @FeiDu11 🇹🇭泰国新闻大事件: @HaiBo22 🤝求职&招聘 投稿爆料(免费发布): @kexin2456 📲商务合作: @kexin2456 #东南亚 #柬埔寨 #菲律宾 #缅甸 #迪拜 #泰国
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/FeiDu11

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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

30,997145,11988,0587 August 2026 — 81,854 subscribers8 August 2026 — 81,763 subscribers9 August 2026 — 81,607 subscribers10 August 2026 — 81,301 subscribers11 August 2026 — 81,085 subscribers12 August 2026 — 80,896 subscribers13 August 2026 — 80,674 subscribers14 August 2026 — 80,512 subscribers16 August 2026 — 72,023 subscribers17 August 2026 — 64,138 subscribers18 August 2026 — 56,635 subscribers19 August 2026 — 56,362 subscribers20 August 2026 — 31,303 subscribers22 August 2026 — 31,166 subscribers24 August 2026 — 30,997 subscribers25 August 2026 — 35,609 subscribers26 August 2026 — 35,512 subscribers27 August 2026 — 35,468 subscribers28 August 2026 — 53,529 subscribers29 August 2026 — 135,383 subscribers30 August 2026 — 135,328 subscribers31 August 2026 — 135,250 subscribers1 September 2026 — 135,061 subscribers2 September 2026 — 134,889 subscribers3 September 2026 — 134,819 subscribers4 September 2026 — 134,642 subscribers7 September 2026 — 133,647 subscribers10 September 2026 — 133,270 subscribers12 September 2026 — 132,940 subscribers14 September 2026 — 132,823 subscribers16 September 2026 — 132,742 subscribers18 September 2026 — 145,119 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net +63,265. 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 13,879–162,237 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 12:39145,119+12,377
16 Sept 2026, 06:17132,742-81
14 Sept 2026, 12:57132,823-117
12 Sept 2026, 23:14132,940-330
10 Sept 2026, 22:21133,270-377
7 Sept 2026, 20:21133,647-995
4 Sept 2026, 22:21134,642-177
3 Sept 2026, 09:27134,819-70
2 Sept 2026, 02:48134,889-172
1 Sept 2026, 06:14135,061-189
31 Aug 2026, 06:25135,250-78
30 Aug 2026, 07:03135,328-55
29 Aug 2026, 07:42135,383+81,854
28 Aug 2026, 09:0253,529+18,061
27 Aug 2026, 10:4835,468-44
26 Aug 2026, 07:4235,512-97
25 Aug 2026, 05:0935,609+4,612
24 Aug 2026, 03:3830,997-169
22 Aug 2026, 10:2331,166-137
20 Aug 2026, 22:5231,303first reading

Engagement

1,338 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.72%
avg views ÷ 145,119 subscribers
Avg views / post
3,940
776 posts measured
Reaction rate
0.571%
reactions ÷ views · ER floor
Posts in window
776
of 1,338 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 757 of 776 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 29 September 2026
Posts held1,338 (7 August 2026 – 29 September 2026)
Views total3,060,109
Reactions total16,974
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 01:55 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
≈38,000
Videos
≈8,930
Links
≈13,100

Lifetime counters from Telegram’s own channel header, read 29 September 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
4h 06m
Average length
38s

Measured directly from 394 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

21,982 reactions across 961 posts, in 11 distinct kinds. The most used accounts for 18.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3,96318.0%
🎉3,84217.5%
🤩2,77312.6%
👍2,66612.1%
❤2,64012.0%
😁2,63312.0%
💯1,1775.35%
❤‍🔥1,1325.15%
🥰1,1295.14%
👏160.073%
⚡110.05%

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 961 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 21,982 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 21 August 2026 to 29 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

29 Sept 2026, 00:08 UTC42 views32 reactionsread 29 September 2026
Video

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28 Sept 2026, 18:08 UTC≈8,470 views12 reactionsread 29 September 2026
Video

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28 Sept 2026, 15:12 UTC≈8,030 views28 reactionsread 29 September 2026
Video

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28 Sept 2026, 13:49 UTC≈8,550 views14 reactionsread 29 September 2026
Video

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28 Sept 2026, 13:47 UTC≈8,400 views31 reactionsread 29 September 2026
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28 Sept 2026, 13:32 UTC≈8,440 views24 reactionsread 29 September 2026
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#越南 新闻:从浙江逃到越南!2名通缉犯北宁落网,当天逮捕,次日友谊关移交。 越媒报道:9月26日,越南北宁市公安成功抓获两名在当地藏匿的中国籍通缉人员,并于9月27日在谅山省友谊国际口岸,正式将二人移交中国警方。 涉案人员分别为1967年出生的黄根生(Huang Gensheng,涉嫌贪污财产)、1983年出生的李方汉(Li Fang Han,涉嫌诈骗侵占财产)。 据中国浙江省丽水市缙云县警方卷宗显示,黄根生曾任浙江大玛工具有限公司仓库管理员。其利用职务便利,侵占公司5117件产品,涉案价值434365元人民币,变卖货物后潜逃失联,于2026年5月被浙江缙云县警方列为通缉对象。 据中国浙江省龙港市公安卷宗记录,李方汉涉嫌倒卖虚假增值税发票,协助国内二十余家企业骗取出口退税,涉嫌诈骗侵占财产,于2024年4月被浙江龙港市警方通缉。 此次行动中,北宁市公安联合刑侦、出入境及属地派出所开展核查布控、落地抓捕工作,两名涉案人…

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28 Sept 2026, 13:27 UTC≈7,840 views30 reactionsread 29 September 2026
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28 Sept 2026, 13:07 UTC≈7,900 views29 reactionsread 29 September 2026
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👍7🔥7❤5🎉4🤩4😁2

28 Sept 2026, 13:01 UTC≈8,260 views20 reactionsread 29 September 2026
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#巴基斯坦 9月28日,Dawn披露,NCCIA针对PECHS Block 6两处呼叫中心登记的两份案件中,共点名79名涉案人员(分别48人、31人); 调查称员工冒充美国正规金融机构人员,获取受害者的SSN、手机号、出生日期及银行卡/信用卡资料,再通过内部CRM交给上游用于未经授权扣款。 查获的CRM、电脑及客户数据库已进入数字取证,警方正继续追查资金渠道及更大网络。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 2026年世界杯指定投注 182290.com 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11天赢走1.6亿秒出款 零审核包出款 福利频道 @Y3SVIP75 官方网站: y30481…

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28 Sept 2026, 12:31 UTC≈8,490 views28 reactionsread 29 September 2026
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28 Sept 2026, 12:30 UTC9 views11 reactionsread 29 September 2026
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ZachXBT爆料:Bitget被朝鲜黑客盗的钱,中国洗钱团队正在用Discord 服务器和 Telegram 频道售卖。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 2026年世界杯指定投注 182290.com 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11天赢走1.6亿秒出款 零审核包出款 福利频道 @Y3SVIP75 官方网站: y30481.com ⚡️8K国际⚡️⚡️ 😀%⚡️⚡️⚡️⚡️⚡️⚡️⚡️不限ip 免实名 信誉至上·财富相伴! 🩷🩷🩷🩷🩷🩷🩷🩷🩷🩷新人注册送38U 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢 😁😁😁😁😁😁😁😁😁😁😁😁千万域名 百亿大盘 顶奢品牌 大

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28 Sept 2026, 12:29 UTC8 views13 reactionsread 29 September 2026
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#柬埔寨 10省遭洪灾,超4.49万户受影响 柬埔寨国家灾害管理委员会今天通报,暴雨引发山洪,全国已有10个省份受灾,马德望、班迭棉吉、暹粒三省灾情最为严重。 截至目前,洪灾已影响44889户家庭,3685户家庭紧急转移至高地。洪水淹没4万余栋房屋,近5万公顷稻田受损。 有关部门已做好救援和应急准备。气象预报显示,受台风外围环流影响,柬埔寨大部分地区强降雨将持续至9月30日。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 2026年世界杯指定投注 182290.com 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11天赢走1.6亿秒出款 零审核包出款 福利频道 @Y3SVIP75 官方网站: y30…

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Showing the 12 most recent of 1,338 posts we hold for @FeiDu11. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“缅甸缅北吃瓜新闻社区” (@FeiDu11), 145,119 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/FeiDu11.

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.