一單接一單,就係唔畀佢出獄 Iron bars cannot imprison a soul! 鐵枝鎖不住靈魂! Art source @lumlilumlong_ #黃之鋒 #JoshuaWong #國安法 #政治犯 #欲加之罪 #國安法 #串謀勾結外國勢力 #冤獄 #莫須有
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Channel
@hkposter777
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
22,561subscribers
+323 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001120039663 |
|---|---|
| Type | Channel |
| Username | @hkposter777 |
| Description | 本頻道自2019年6月設立,集合文宣作品,以供同路人廣傳 TG: t.me/hkposter777 IG: instagram.com/hkposter777 Twitter: twitter.com/hkposter777 FB: facebook.com/hkposter777 MeWe: mewe.com/p/hkposter777 不是因為看見希望而堅持 而是因為堅持才看見希望 |
| Created | 28 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 57 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/hkposter777 |
Politics & activism — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 08:56 | 22,561 | -6 |
| 5 Nov 2026, 09:26 | 22,567 | +19 |
| 4 Nov 2026, 07:09 | 22,548 | -2 |
| 3 Nov 2026, 05:20 | 22,550 | -2 |
| 2 Nov 2026, 03:36 | 22,552 | +13 |
| 1 Nov 2026, 02:46 | 22,539 | -5 |
| 31 Oct 2026, 02:07 | 22,544 | +2 |
| 29 Oct 2026, 22:47 | 22,542 | +6 |
| 28 Oct 2026, 23:50 | 22,536 | +42 |
| 27 Oct 2026, 21:49 | 22,494 | -4 |
| 26 Oct 2026, 21:01 | 22,498 | +10 |
| 25 Oct 2026, 19:46 | 22,488 | -3 |
| 24 Oct 2026, 16:17 | 22,491 | +11 |
| 23 Oct 2026, 14:54 | 22,480 | -13 |
| 22 Oct 2026, 11:59 | 22,493 | -26 |
| 21 Oct 2026, 03:35 | 22,519 | +3 |
| 19 Oct 2026, 23:44 | 22,516 | -3 |
| 18 Oct 2026, 20:38 | 22,519 | +11 |
| 17 Oct 2026, 23:46 | 22,508 | -7 |
| 17 Oct 2026, 01:50 | 22,515 | first reading |
161 posts held, back to 27 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 92 pages of Telegram’s post history, 20 posts per page.
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 39 of 40 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 161 (27 July 2026 – 6 November 2026) |
| Views total | 33,705 |
| Reactions total | 442 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 14:37 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.
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Measured directly from 57 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.
2,233 reactions across 159 posts, in 37 distinct kinds. The most used accounts for 12.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 273 | 12.2% | |
| ❤ | 197 | 8.82% | |
| ❤🔥 | 189 | 8.46% | |
| 🤬 | 154 | 6.90% | |
| 💯 | 146 | 6.54% | |
| 👍 | 139 | 6.22% | |
| 💩 | 130 | 5.82% | |
| 🤡 | 125 | 5.60% | |
| 🙏 | 124 | 5.55% | |
| 👏 | 95 | 4.25% | |
| 🤣 | 92 | 4.12% | |
| 😈 | 83 | 3.72% | |
| 🖕 | 73 | 3.27% | |
| 😁 | 73 | 3.27% | |
| 🫡 | 66 | 2.96% | |
| 😢 | 40 | 1.79% | |
| 👎 | 30 | 1.34% | |
| 🤪 | 24 | 1.07% | |
| 🤮 | 22 | 0.985% | |
| 👻 | 21 | 0.94% | |
| 17 further kinds | 137 | 6.14% |
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 160 of the 161 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 2,257 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 161 most recent posts we hold, published 27 July 2026 to 6 November 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.
Telegram’s own ‘edited’ marker: 0 of 40 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
一單接一單,就係唔畀佢出獄 Iron bars cannot imprison a soul! 鐵枝鎖不住靈魂! Art source @lumlilumlong_ #黃之鋒 #JoshuaWong #國安法 #政治犯 #欲加之罪 #國安法 #串謀勾結外國勢力 #冤獄 #莫須有
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同一條罪名70年前就用過一次 當十年的刑期重疊:黃之鋒、沃夫岡·哈里希與歷史重複的無力感 ⚖️📜 Source: @egalbox 限時免費閱讀 🔽 https://www.patreon.com/posts/174467984 #黃之鋒 #JoshuaWong #國安法 #政治犯 #欲加之罪 #國安法 #串謀勾結外國勢力 #冤獄 #莫須有
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Hong Kong democracy activist Joshua Wong has been sentenced to 10 years in prison on baseless national security charges. Wong has been in custody since November 2020, when he was 23, and faces imprisonment until late 2036, when he will be 40. To keep Hong Kong society subdued, the government appears to have adopted the tactic of stacking charges against influential pro-democracy leaders to ensure their prolonged de…
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Joshua Wong, once the face of Hong Kong's democracy movement, has been sentenced to 10 years in jail for colluding with foreign forces under the city's sweeping national security law. Wong is among hundreds of campaigners and ordinary Hongkongers arrested under the law, which was imposed in 2020 following explosive pro-democracy protests against Beijing's growing control. #黃之鋒 #JoshuaWong #國安法 #政治犯 #欲加之罪 #國安法 #串謀勾結…
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由堺雅人、阿部寬等主演的焦點日劇諜戰片《VIVANT》第二季,日前被中國官媒《中央電視台》點名批評醜化中國人、美化日本自衛隊情報人員,屬於「認知投毒」,Sanrio 和該劇的聯乘在壓力下取消,贊助商花王、三得利等亦被點名受壓,但《VIVANT》星期日(11 月 1 日)播出的最新一集,收視再創新高,繼續冠絕同季日劇。 #日劇 #VIVANT #辱華 #Suntory #花王 #Subaru #日本生命保險 #玻璃心 #日劇 #醜化中國人 Source: @reNews
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麥巴比入球和侯辛慶祝,被指無視中國人的憤怒 麥巴比因涉及毛澤東換臉迷因風波持續延燒。 在 2026 年 11 月 1 日的西甲賽事中,麥巴比射入12碼協助皇家馬德里以 3:0 大勝桑坦德。他在賽後與隊友有說有笑並在社交平台慶祝,遭到包括騰訊、網易、搜狐等內地媒體專欄(如自媒體帳號「風過鄉」)的強烈追擊,解讀為「無視並挑釁中國球迷的憤怒」。 有關事件的最新爭議焦點: 入球慶祝被批: 內地轉播電視台雖然在周日停播了該場皇馬賽事,但內地自媒體與網絡社群緊盯麥巴比的動向。有文章批評他進球後邊跑邊笑、舉起手指慶祝「心情極高」,似乎已經忘記了自己的不當行為。 與隊友擁抱成罪證: 麥巴比在賽後於 Instagram 分享了他與隊友侯辛(Dean Huijsen)擁抱的相片。由於侯辛此前亦曾被指控有「辱華」言論,此舉被內地部分媒體和網民大做文章,斥其是在公開挑釁中國球迷。 #麥巴比 #KylianMbappe #Mbappe #獨裁…
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有個中國人喺日本嘅神社入面,喺繪馬度寫咗咁樣嘅嘢: 祖国統一 収復台湾 署名:中國・日本省 日本網民:『嚟到日本旅遊定唔知做乜都好,喺一個畀人向日本神明許願嘅地方,竟然主張日本係「中國嘅一個省」。佢唔单止想「統一・收復」台灣,似乎仲當埋日本係自己國家嘅一部分。 嚟到日本又借用人哋嘅文化,轉頭又喺度否定日本嘅主權。呢啲人究竟咩料?』 #又係中国人 #大劣人 #粉蛆 #盲目忠誠 #無腦效忠 #小粉紅 #牆國人 #蝗禍 #洗腦教育 #仇恨教育 #TaiwanIsACountry
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今日在澳洲時代報的漫畫 Mbappe VS dictator Mao 麥巴比與獨裁者毛澤東 #KylianMbappe #Mbappe #獨裁者 #毛澤東 #麥巴比 #牆國人 #玻璃心
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💌 點解今年有咁多人寫信畀同一個香港人? 今年,將會有嚟自超過60個國家嘅朋友,寫信畀一位佢哋可能從未見過,甚至未聽過佢個名嘅香港人。 呢位香港人,就係而家身處赤柱監獄嘅鄒家成 ── 因為佢係今年國際特赦組織全球「寫信馬拉松」(Write for Rights)嘅聲援對象之一。 🔔 Follow @amnestyhko ,參與詳情即將公布! #鄒家成 #寫信馬拉松 #WriteforRights #初選案 #國安法 #政治犯 #初選無罪
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#VIVANT 炎上風波延燒日企 官媒點名贊助商Suntory&花王 日劇《VIVANT》第二季引發的辱華抹黑風波正在內地網絡全面引爆,火勢更正式蔓延至商界,演變成跨國品牌危機。中國官方通訊社中新社旗下的財經新媒體「國是直通車」發表貼文,不僅痛批該劇刻意渲染「中國威脅論」,更直接運用工商查詢系統,公開起底該劇的日本常設贊助商名單,包括Suntory、花王、Subaru汽車以及日本生命保險。 該貼文更貼出Suntory為該劇推出的限量版聯乘啤酒宣傳海報,直接點名這些日本商業巨頭在中國內地均設有龐大業務主體,經營範圍涵蓋核心領域,但至今仍未就贊助爭議作出回應,可謂等同向這幾間日企發出最後通牒,逼迫品牌必須在「得罪本土市場」與「放棄內地龐大商機」之間做出抉擇。 這場風暴日前已令首家跟《VIVANT》合作推出聯乘周邊的Sanrio割席,發表日中文聲明,承認聯名內容與企業理念不符,宣布即時全面終止合作並向道歉。隨著「國是直通車」重砲…
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“The ashes on the ground still smelled of tear gas.” Seven years later, memories still drive Alan Dai. He was there during the 2019 sieges of Hong Kong’s universities, helping students on the front lines find safety as the city’s fight for democracy unfolded around him. Those memories remain deeply personal. They're a reminder of the courage of fellow Hong Kongers who took to the streets to defend their freedom. …
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由堺雅人、阿部寬等主演的焦點日劇諜戰片《Vivant》第二季,日前被中國官媒《中央電視台》點名批評醜化中國人、美化日本自衛隊情報人員,屬於「認知投毒」;和該劇推出聯乘商品的 Sanrio 亦慘被牽連,另一官媒《環球時報》昨日發表評論,「Hello Kitty不應與日本右翼共舞」,點名批評 Sanrio,Sanrio 昨晚火速在微博發聲明,宣布終止與《Vivant》的聯乘計劃。 #環球時報 稱,中國是 Sanrio 「至關重要的海外市場」,今年上半年他們在中國收入 7.81 億人民幣,同比升超過四成,「既然重視中國市場,就應把尊重中國落實在行動上」,警告 Sanrio 一旦「與反華內容合作」,將損害長期積累的「信任與情感連接」,警告他們不應「陪著日本右翼玩火」,又聲稱不是要求 Sanrio 在中日之間「選邊站隊」,而是要在最基本的問題上作「正確選擇」。 Sanrio 中國官方昨晚 11 時許漏夜發聲明救火,指今次聯名商品「包含…
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Showing the 12 most recent of 161 posts we hold for @hkposter777. 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.
We recorded 1 post on @hkposter777 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 5 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.
@hkposter777 named 16 handles 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“777文宣傳播稿件大合集” (@hkposter777), 22,561 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/hkposter777.
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.