柬埔寨詐騙/再添5人獲救 立委伍麗華協助家屬免息借款 https://ift.tt/13nTlvJ @ 公視新聞
Channel
【Focus ▶台灣新聞】
@Focus_Taiwan
On this record: Growth · Engagement · Posts · Citations · Cite this entry
28subscribers
+2 since we began measuring on 3 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001397913498 |
|---|---|
| Type | Channel |
| Username | @Focus_Taiwan |
| Created | Between 1 September 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 October 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 22 October 2026 |
| On Telegram | t.me/Focus_Taiwan |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Oct 2026, 11:38 | 28 | +2 |
| 3 Oct 2026, 12:22 | 26 | no change |
| 3 Oct 2026, 11:47 | 26 | first reading |
Engagement
20 posts held, back to 21 August 2022 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 22 August 2022. An engagement rate over an empty window would be a number about nothing.
Recent posts
體育週報/撞球世代之爭 陳佳樺勝英國傳奇費雪奪冠 https://ift.tt/6NvhDgL @ 公視新聞
至少370名台人仍受困柬埔寨 徐國勇承諾全數救回 https://ift.tt/BH2fKeW @ 公視新聞
柬埔寨人口販運案頻傳 今再有1男子順利脫困返台 https://ift.tt/6lBMJHg @ 公視新聞
NCC回應「數位中介法草案」 稱僅為初版並未強推 https://ift.tt/MRjsndb @ 公視新聞
今年已累計5百萬人確診 中央估年底前再增3百萬人 https://ift.tt/uT3UKhS @ 公視新聞
東京澀谷15歲少女隨機砍人 釀母女2人重傷 https://ift.tt/NDMEtm5 @ 公視新聞
索馬利亞飯店恐攻釀20死 青年黨聖戰組織承認犯案 https://ift.tt/edz3rJ5 @ 公視新聞
因應山友需求 雪管處新建油婆蘭、瓢簞避難山屋 https://ift.tt/2Ugfwjy @ 公視新聞
外商銀行傳勞資糾紛 要理專業績未達標自請離職 https://ift.tt/mXyIEB8 @ 公視新聞
少子化衝擊私大經營 全台44校收支餘絀為負數 https://ift.tt/Z6Ny4EG @ 公視新聞
台南白河保存石灰產業記憶 打造「灰窯巨人」觀光亮點 https://ift.tt/5dxj1ri @ 公視新聞
Showing the 12 most recent of 20 posts we hold for @Focus_Taiwan. 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
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“【Focus ▶台灣新聞】” (@Focus_Taiwan), 28 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/Focus_Taiwan.
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.