#TNN新闻 11年来最低!菲律宾外资大跌,外国资本开始放缓布局 菲律宾外国直接投资(FDI)出现明显下滑。菲律宾中央银行数据显示,今年5月菲律宾FDI净流入仅2.1亿美元,同比暴跌64.7%,创下超过11年来最低月度水平。 不过,制造业、金融保险和房地产等领域仍吸引部分外资。分析人士指出,当前外资减少反映全球资本更加谨慎,菲律宾未来需要改善投资环境,以重新提升外国投资者信心。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot

Channel
TNN电报新闻网_中文频道
@TNN_channel
On this record: Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
1,921subscribers
-3 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001695995579 |
|---|---|
| Type | Channel |
| Username | @TNN_channel |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/TNN_channel |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 01:55 | 1,921 | -4 |
| 12 Aug 2026, 01:58 | 1,925 | +1 |
| 11 Aug 2026, 06:45 | 1,924 | first reading |
Engagement
18 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.324%
- avg views ÷ 1,921 subscribers
- Avg views / post
- 6.2
- 18 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 18
- of 18 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 18 (10 August 2026 – 11 August 2026) |
| Views total | 112 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 06:45 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
- 42s
- Average length
- 21s
Measured directly from 2 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.
Recent posts
#TNN新闻 中国依法处理百余名菲律宾人!涉及非法就业、非法居留 8月10日,中国外交部发言人郭嘉昆在例行记者会上表示,中国移民管理部门近期持续开展外国人“三非”(非法入境、非法居留、非法就业)治理行动。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 又一币圈大佬陨落 8月7日凌晨4点半,巴拉圭亚松森,警方接到报案,说 Trinidad 区一栋叫 Jade Park 的高档公寓楼下有 一具尸体。 警方赶到现场时,尸体全身赤裸,身上盖着一个黑色塑料袋。很快,死者身份被确认:Harry Chun Tak Yeh,中文名叶俊德,币圈老OG。 这哥们是当年FTM 上的大野庄 AC 的最后一舞就是跟他一起组的局。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot
#TNN新闻 菲律宾暴雨灾情扩大!洪水滑坡已致19人死亡 菲律宾国家减灾与管理委员会(NDRRMC)8月11日通报,受西南季风“哈巴加特”及热带气旋影响,全国多地持续遭遇强降雨,引发洪水、山体滑坡等灾害,目前已造成19人死亡、15人受伤、4人失踪。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 中菲联手抓捕跨境诈骗逃犯!涉案超千万檀某被遣返 中国驻菲律宾大使馆8月10日消息称,近日,中菲执法部门加强合作,成功抓获并遣返一名涉嫌诈骗及掩饰、隐瞒犯罪所得的逃犯檀某。 调查显示,该团伙涉案金额超过千万元人民币。目前,檀某已被移交中国有关部门处理,案件后续仍在进一步侦办中。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 宿务牙科诊所遭突查!3名越南籍人员无证行医被查 菲律宾宿务省曼达维市一家牙科诊所近日遭执法部门突查,3名越南籍人员因涉嫌未取得菲律宾合法牙医执业资格,被带走调查。 目前,3人已被控制,相关部门正在进一步核查其身份、工作资格以及诊所是否存在其他违规行为。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 近10万户断电!洪水导致菲律宾大范围停电 受西南季风“哈巴加特”带来的持续强降雨和洪水影响,菲律宾马尼拉电力公司(Meralco)8月9日表示,吕宋岛约9.8万名用户出现停电,占其用户总数约1%。 公司同时提醒居民,远离倒塌电线和被洪水浸泡的电器设备,避免发生触电事故。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 缅甸佤邦再移交22名中国公民!今年累计超千人被遣返 8月10日,缅甸佤邦联合军(UWSA)向中方移交22名非法进入佤邦地区的中国公民。相关人员此前在当地登记,并通过边境口岸返回中国。 近年来,中缅边境持续加强管控,重点清理非法入境、涉赌诈及其他违法活动相关人员。此次再次移交22人,也显示双方在边境治理方面的合作仍在持续。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 菲警 #钓鱼执法 救出11名小菲鸡!竟有6人未成年 菲律宾国家调查局(NBI)8月10日在碧瑶市一间酒店展开卧底行动,成功救出11名涉嫌被人口贩卖的女性,其中6人为未成年人,并逮捕两名涉案嫌疑人。 两名嫌疑人已被控严重人口贩卖罪,同时涉嫌违反保护未成年人相关法律。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 西港再查电诈窝点!15名中国人被捕,现场起获83台电脑 柬埔寨西哈努克省(西港)近日破获一起涉嫌网络诈骗案件,法院已下令临时羁押17名涉案人员,其中包括15名中国籍人员和2名柬埔寨男子。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#TNN新闻 巴基斯坦 一窝狗推被端 中国大使馆联合当地警方排查了位于Gulberg green的一栋办公大楼,据信扫描了在场所有人的护照并采集了生物信息! 目前已羁押在现场等待结果。目的是排查这些人的违法行为,涉案人员将会遣送回国处理。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_editor 😅 ━━━━━━━━━━━━━ 🤖全网最强查档机器人 @chadangbot 🤖
#产业新闻 #TNN新闻 非洲南部斯威士兰 40名中国人因护照被注销滞留 #中方要求直接回国 斯威士兰当地媒体近日报道,40名中国籍人员因出境问题继续被羁押。马恩齐尼地方法院裁定,在相关上诉程序结束或他们被遣返回中国之前,这批人员仍需继续留在拘押状态。 在最新一次庭审中,部分被羁押人员对长期关押表示不满,并在法庭仍在开庭期间进行抗议。随后,马恩齐尼地方法院首席地方法官David Khumalo裁定,他们必须继续被羁押,直到上诉申请处理完毕,或者正式安排遣返回中国。 ━━━━━━━━━━━━━ 🤝 查档找我:信息全・速度快・结果准! 👍支持查询: 😎 手机号 😎 身份 😎 银行 😎 地址 …… ⚠️ 查得快・不瞎拖・不扯淡 😎 长期合作更优惠! 😌:@landunchadang ━━━━━━━━━━━━━ 🔔 订阅频道:@TNN_channel ✉️ 加入群组:@TNN_group ➡️ 投稿爆料: @TNN_e…
Showing the 12 most recent of 18 posts we hold for @TNN_channel. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@dashijianx · 222,631
Telegram ranks this channel #24 of 41 here — alongside 40 others — read 11 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“TNN电报新闻网_中文频道” (@TNN_channel), 1,921 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/TNN_channel.
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.