【區議員宣誓】 今日(8日)下午,港府於北角社區會堂舉行最後一批區議員宣誓儀式,當中包括屯門、元朗、荃灣、葵青及離島區,共75名區議員。 屯門區張錦雄與曾錦榮的宣誓有效性存疑,其餘11位到場區議員的宣誓均為有效,另外潘智鍵與王德源早前於社交媒體表示不會參與宣誓,須即時離任。

Channel
屯敘 - 屯門社區報
@tuengather
On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
277subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001117693946 |
|---|---|
| Type | Channel |
| Username | @tuengather |
| Created | Between 1 February 2017 and 31 March 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/tuengather |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 14:38 | 277 | -1 |
| 6 Aug 2026, 23:31 | 278 | no change |
| 6 Aug 2026, 06:54 | 278 | first reading |
Engagement
13 posts held, back to 14 February 2021 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 8 October 2021. An engagement rate over an empty window would be a number about nothing.
Recent posts
#投稿 #結業 =========== #屯門 #soulgood 琴日食嘢同屯門何福堂soulgood傾計話今晚(26sept) last day啦。希望大家如果去食嘢就加錢轉個set,有湯同有嘢飲,幫手清下啲酒水存貨。 如果街邊經過嘅都可以試下佢哋凍飲外賣,奇亞籽飲品實屬手推。 除咗幫襯佢哋,都請支持下附近良宵、隱啡同埋肯德輝🥰 圖為豬手同burger,豬手大大份適合三至四人叫嚟分享,香口又唔漏。Burger就一睇都知足料好味啦😋 值得推薦仲有雞翼同沙律。黑糖啤啤雞翼遠近馳名,沙律咪睇好似好貴,係一個大碗大大兜夠兩個人分,真係好好味,個人鍾意食松子蝦口味🥰 希望大家可以早啲入席 1800就嚟到支持佢哋,或者 late dinner 2000,陪佢哋last day。唔好只集中 1900-2000 😅 實屬手推 》實屬首推
屯敘 - 屯門社區報 pinned a photo
【《屯敘》第四期取閱點更新】 再次多謝一眾嘅商舖願意借出地方擺放《屯敘》,大家幫襯小店嘅時候可以順手攞份番屋企睇啊🔥。不久嘅將來亦會有街站派報,請大家繼續關注,密切留意。 (⁎⁍̴̛ᴗ⁍̴̛⁎) 📰取閱點列表會持續更新~ 📍紅橋 1.The City Corner 2.Pillowtalk Restaurant & Bar 3.BYOB Coffee Roaster 4.滔滔甜品 5.定時麵食 6.嘆甜品 📍置樂 1. 屯門牛 2. 住家飯堂 3. 時光炸雞專門店 4. 彩虹煮意 5. Kaleido Coffee 6. 時光芋圓 📍華都 1. 牛蓋 2. 轉角 3. 水飯鏜 4. 西麵 5. 東喜茶 Heeretea 📍市中心 1. 榮少喇沙 2. 茶星人 3. 齊柏林熱狗店 (錦薈坊) 4. CHI Tachinomi 📍碼頭 1. By The Tray 2. 小茶角 3. 伊甸…
屯敘 - 屯門社區報 pinned a photo
【第四期出版🎊】 多謝各位街坊繼續關注《屯敘》,《屯敘》第四期已進來了﹗ 今期,我們以友愛商場、友愛街市、友愛邨作為個案,探討環境變化對屯門人的影響,呈現街坊對改變的心聲。 除了專題外,我們還訪問了本地攝影師梁瑋鑫(William),探討他如何借攝影來呈現屋邨的特定時刻。另外,亦有街坊投稿,寫出普羅大眾在面對屯公塞車時的真感覺。 我們把第四期《屯敘》放於以下小店(*名單持續更新),歡迎街坊取閱: The City Corner 地址:井財街青棉徑6號好發大廈地下17-20號鋪 Pillowtalk Restaurant & Bar 地址:井財街青棉徑5號金寶大廈地下6號舖 BYOB Coffee Roaster 地址:井財街青桃徑5號文翔大廈地下2A號舖 滔滔甜品 地址:井財街青翠徑7號金邦大廈地下12號舖 定時麵食 地址:井財街青桃徑3號安麗大廈地下15-16號舖 嘆甜品 地址:井財街15號金銘大廈地下4號…
【出版預告】 最近,大家都在數算, 很多事物消散了, 很多伙伴走失了, 《屯敘》團隊跟大家一同經歷「失去」的滋味。 我們人手少了,報導工作更困難了。 調整後,我們慢了,但沒有放棄。 第四期,於8月底,要出來了,主題為「友愛商場與街市的歷史軌跡」。 我們希望用最純然的心態,紀錄屯門人在大時代的心路歷程。 季節變了,感覺很陌生,但「區區深耕樹再起」的信念不變。 Don't count the days, make the days count. 如果你有興趣加入我們, 如果你有興趣落廣告互相支持,歡迎pm我哋﹗ ————————————————————— 加入我們:https://forms.gle/8UpoV6CPHtViJxyW7 聯絡方法: FB:@tuengather 屯敘 Telegram:@tuengather /@wearetuengather Instagram:@tuengather Email:tue…
屯敘 - 屯門社區報 pinned a photo
🌾風雨吹散籽遍地 區區深耕樹再起 我們相信所有價值信念的堅持都來自一點一滴的工程,因此我們會努力做好每一期的社區報。 我們不是唯一努力的人。只要一日留在我們的社區,每人都可用自己的方式,在日常生活中努力。一個人不會成功,但如果每一個人都盡力的話…… 所有的信念都猶如螢火蟲的光,沒有路,卻有方向。 期待大家一起為社區播種。 圖:蕃薯 #屯敘 #社區報 #屯門社區報
🔥🔥🔥申述最後一日啦‼️‼️ 召喚寫信師! 要人要人要人啊! https://www.instagram.com/tv/CLbe-Zbg8SH/?igshid=8jhsx6pwfdpc
特急請廣傳‼️ 提交意見傳送門🚪👇🏻 https://www.info.gov.hk/tpb/tc/plan_making/S_MOS_23.html?fbclid=IwAR3fprtnWlOFNrp6HABJEcVfeaYJdlSsg_sXBpMUWRa3M0gFJc9QZTv8ZZ0 無論你反對佢嘅支持定係支持佢嘅反對,都要去城規會交意見! 上年12月,城規會就政府提出改劃馬鞍山七幅綠化地帶收集申述書。申述階段已經完成並完成整理程序,最後總共收到5699份申述書。 唔好以為交完申述書件事就完咗啊!未完㗎!!!因為第二階段係需要市民就各申述書提出你嘅意見(👉🏻ĭ‿ĭ) 真係唔識填嘅話,留意我哋嚟緊嘅街站,或者睇睇議員個post先👇🏻 https://www.facebook.com/202718713696908/posts/778247836143990/?d=n
需要廣傳‼️‼️ https://www.instagram.com/tv/CLY6GIJAhfZ/?igshid=1gv8zfdmcrsf5
Showing the 12 most recent of 13 posts we hold for @tuengather. 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 — 1,181,913 of 1,481,243entries 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.
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 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@tuengather named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 3 posts, 8 August 2026 – 8 August 2026
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.
“屯敘 - 屯門社區報” (@tuengather), 277 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tuengather.
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.