新聞專題🗞️ 🗞️ ✏️Title: RTHK:港產鮮味 📅Date: 2026-08-06 🔗 連結: YouTube

Channel
GoverWay 投考入境 Channel
@goverway_io
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
649subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001955509679 |
|---|---|
| Type | Channel |
| Username | @goverway_io |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/goverway_io |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 23:44 | 649 | +3 |
| 16 Aug 2026, 14:44 | 646 | +4 |
| 8 Aug 2026, 02:48 | 642 | no change |
| 7 Aug 2026, 18:11 | 642 | first reading |
Engagement
20 posts held, back to 20 July 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
- 5.77%
- avg views ÷ 649 subscribers
- Avg views / post
- 37.4
- 9 posts measured
- Reaction rate
- 1.72%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 20 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 1 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (20 July 2026 – 7 August 2026) |
| Views total | 337 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 02:48 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 20 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 20 July 2026 to 7 August 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
新聞專題🗞️ 🗞️ ✏️Title: 【經緯線】豁免之「外」/ 一「匹」即合 📅Date: 2026-08-06 🔗 連結: YouTube
新聞專題🗞️ 🗞️ ✏️Title: 星期日檔案|港豬上樓:多層式養豬場 本港養豬業能靠多層式大樓轉型?|無綫新聞 TVB News 📅Date: 2026-08-05 🔗 連結: YouTube
新聞專題🗞️ 🗞️ ✏️Title: 【經緯線】豁免之外 📅Date: 2026-08-03 🔗 連結: YouTube
📣📣GoverWay 管理的 Telegram Channel 🔗GoverWay AO/EO Channel 🔗GoverWay AO/EO Eng Channel 🔗GoverWay 投考警隊 Channel 🔗GoverWay 投考入境 Channel
📚 投考入境事務主任必備資源整理 以下為應考入境主任(IO)時不可錯過的重要數據及課程資源: 📊 入境處官方數據 🔹 入境處年報 🔹 執法數據資料 🔹 每日出入境人數統計 🔹 中國國籍數據 🔹 證件登記統計 🔹 簽證統計數字 🎓 入境主任應試課程(GoverWay) 📘 初步面試流程全攻略 📘 筆試應對技巧及分析思維課程 📘 FIB 歷屆面試題目拆解
皇崗口岸開通前將進行逾百演練 📅日期:01-08-2026 🔗 連結: 詳細資料 ✏️內容簡介:皇崗口岸港方口岸區昨日正式成立。保安局局長鄧炳強表示,特區政府接管港方口岸區後,多個部門隨即通宵處理多項事宜,當局會把握時間做好配套工作,未來會進行逾百個大大小小的演練,包括涉及逾萬人的壓力測試,待所有測試完成,確定暢順、安全,會盡快開通。 皇崗口岸佔地約8.75公頃,口岸聯檢大樓共九層,總建築面積約69萬平方米,港方口岸區約佔25萬平方米。 保安局今日早上安排立法會議員參觀皇崗口岸港方口岸區,鄧炳強隨後會見傳媒。他說,當局會把握時間做好裝修、設置器材等工作,接下來也有逾百個演練,涉及20個不同類別,包括交通流量、反恐、機電測試,在小型測試完成後,會與深圳方面進行大型測試,包括涉及過萬人的壓力測試。 鄧炳強指,當所有測試完成,並確認暢順、安全有序,當局會與深方商討最早的通關日子。 重建後的皇崗口岸會實施「一地兩…
❤1
鄧炳強視察皇崗口岸港方口岸區 📅日期:31-07-2026 🔗 連結: 詳細資料 ✏️內容簡介:皇崗口岸港方口岸區正式成立,由香港特區依照本地法律實施管轄。保安局局長鄧炳強今日到場視察,聽取各部門匯報設施準備情況,並主持跨部門工作小組會議,全力推進口岸開放的籌備工作。 鄧炳強抵達皇崗口岸聯檢大樓港方口岸區後巡視公共運輸交匯處、出入境旅檢樓層、出入境車檢樓層和隨車人員驗放廳,又實地檢視各項設施例如合作查驗自助通道和人工櫃枱、聯合一站式車道等的安裝進度。 其後,他與運輸及物流局、運輸署、路政署、建築署、機電工程署、政府產業署、警務處、消防處、入境事務處、香港海關、衞生署的代表召開跨部門會議,討論工程進度、測試情況和演練安排,確保口岸設施及運作周全穩妥。 特區政府將與深圳當局保持緊密合作,有序推進系統測試、運作和應急演練。待雙方確認口岸具備安全、暢順運作的條件後,粵港兩地政府會公布口岸正式開通的日期。
新聞專題🗞️ 🗞️ ✏️Title: RTHK:我的另類「身家」 📅Date: 2026-07-30 🔗 連結: YouTube
跨部門反恐演習深圳灣管制站舉行 📅日期:28-07-2026 🔗 連結: 詳細資料 ✏️內容簡介:海關連同入境事務處今日上午在深圳灣管制站進行跨部門反恐行動聯合演習。 是次演習約100名海關和入境處人員參與。演習模擬海關與入境處人員在重要節日舉行跨部門聯合反恐行動期間,懷疑一輛出境私家車的司機和乘客與恐怖活動有關,並發現車內藏有涉恐物品及懷疑偽造旅行證件。 模擬查驗期間,相關人員在出境私家車檢查亭發現懷疑炸彈裝置,並迅速展開疏散行動,安全有序疏散所有在場人士。 是次演習不但提升前線人員的反恐意識和處理反恐情報的能力,更加強各部門在應對涉及恐怖活動緊急事件時的協作與溝通,保障市民生命財產和維護國家安全。
持特區護照往尼加拉瓜所國免簽證 📅日期:27-07-2026 🔗 連結: 詳細資料 ✏️內容簡介:香港特區政府接獲尼加拉瓜共和國政府通知,香港特區護照持有人現時可免簽證前往尼加拉瓜旅遊,最長逗留30天。下月26日起,特區護照持有人也可免簽證前往所羅門群島旅遊,最長逗留30天。 尼加拉瓜和所羅門群島國民下月26日起可免簽證來港旅遊,最長逗留30天。 入境事務處表示,尼加拉瓜和所羅門群島是「一帶一路」沿線國家。在「一帶一路」倡議下,免簽證安排為香港、尼加拉瓜和所羅門群島旅客帶來更大的便利,並有助加強香港與兩國在旅遊、文化和經濟方面的聯繫。 連同尼加拉瓜和所羅門群島在內,共178個 國家和地區給予香港特區護照持有人免簽證或落地簽證待遇。
新聞專題🗞️ 🗞️ ✏️Title: RTHK:難分真與假 📅Date: 2026-06-25 🔗 連結: YouTube
Showing the 12 most recent of 20 posts we hold for @goverway_io. 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 — 79,551 of 1,625,404entries 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.
Mentions
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“GoverWay 投考入境 Channel” (@goverway_io), 649 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/goverway_io.
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.