粉紅總以為自己是國家的主人! #籠的傳人 #盲目忠誠 #無腦效忠 #小粉紅 #牆國人 #NeverTrustCCP #TakeDownCCP
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Channel
@hkposter777
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
22,381subscribers
+143 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 |
| Created | 28 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 20:20 | 22,381 | -3 |
| 15 Sept 2026, 15:18 | 22,384 | +16 |
| 13 Sept 2026, 20:59 | 22,368 | +5 |
| 12 Sept 2026, 05:40 | 22,363 | -11 |
| 10 Sept 2026, 00:20 | 22,374 | +14 |
| 6 Sept 2026, 19:39 | 22,360 | -6 |
| 2 Sept 2026, 22:16 | 22,366 | -6 |
| 1 Sept 2026, 17:58 | 22,372 | -7 |
| 31 Aug 2026, 19:39 | 22,379 | +11 |
| 30 Aug 2026, 17:37 | 22,368 | -7 |
| 29 Aug 2026, 19:43 | 22,375 | +9 |
| 28 Aug 2026, 17:23 | 22,366 | -3 |
| 27 Aug 2026, 17:27 | 22,369 | -5 |
| 26 Aug 2026, 18:56 | 22,374 | +19 |
| 25 Aug 2026, 21:23 | 22,355 | -2 |
| 24 Aug 2026, 23:15 | 22,357 | -25 |
| 23 Aug 2026, 06:27 | 22,382 | +1 |
| 21 Aug 2026, 21:38 | 22,381 | +60 |
| 20 Aug 2026, 15:02 | 22,321 | +12 |
| 19 Aug 2026, 14:15 | 22,309 | first reading |
73 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 58 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 73 (27 July 2026 – 3 September 2026) |
| Views total | 20,259 |
| Reactions total | 362 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 12:14 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.
Measured directly from 20 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.
1,063 reactions across 72 posts, in 30 distinct kinds. The most used accounts for 14.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 153 | 14.4% | |
| 🤬 | 105 | 9.88% | |
| ❤🔥 | 71 | 6.68% | |
| 🖕 | 67 | 6.30% | |
| 🙏 | 64 | 6.02% | |
| 👍 | 59 | 5.55% | |
| 💩 | 56 | 5.27% | |
| 🫡 | 56 | 5.27% | |
| 💯 | 51 | 4.80% | |
| 🤡 | 51 | 4.80% | |
| ❤ | 45 | 4.23% | |
| 😈 | 43 | 4.05% | |
| 🤣 | 41 | 3.86% | |
| 😢 | 38 | 3.57% | |
| 👏 | 35 | 3.29% | |
| 👻 | 21 | 1.98% | |
| 😁 | 21 | 1.98% | |
| 👎 | 18 | 1.69% | |
| 😭 | 14 | 1.32% | |
| 🤮 | 9 | 0.847% | |
| 10 further kinds | 45 | 4.23% |
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 73 of the 73 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 1,087 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 27 July 2026 to 3 September 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.
粉紅總以為自己是國家的主人! #籠的傳人 #盲目忠誠 #無腦效忠 #小粉紅 #牆國人 #NeverTrustCCP #TakeDownCCP
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香港民主派活動人士黃之鋒被控違反《香港國安法》下的「串謀勾結外國勢力」罪,2026年9月2日在高等法院出庭並認罪,法官將案件押後判刑。 串謀勾結外國勢力罪最高可判處終身監禁。現年29歲的黃之鋒自2020年起,因涉及多宗案件先後被還押及服刑,至今失去自由逾2,100天。他原本預計於2027年1月獲釋,但2025年6月在服刑期間再次被捕,他重獲自由的日子仍是未知之數。 #黃之鋒 #香港國安法 #串謀勾結外國勢力 #JoshuaWong #政治犯 #欲加之罪 #冤獄 #莫須有 #欲加之罪
🤬11🔥3🤡1
31 August 2026 Source: @solidarity.hk Hongkongers gathered outside the National Records of Scotland, holding portraits of people imprisoned in Hong Kong for their political activities and exercise of fundamental freedoms. #政治犯 #PoliticalPrisoners #太子831 #UK #Edinburgh
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災後魚生「你情我願」的最後保鮮限期… Art: 在野|狀態清寧 Source: 綠豆 @greenbean.media #宏福苑 #宏福苑五級火 #解決提出問題的人 #愛国者治港 #人治社會 #制度崩壞 #圍標 #樓宇大維修 #人禍 #滅聲 #禁聲
🖕4🤪3🤬1
首次發佈的影片 by @nth.anthony 攝於2019年9月2日 香港中文大學 #當年今日 #反送中 #大三罷 #罷工 #罷課 #罷巿
❤🔥13❤1👎1💩1
七年前 2019.8.31 港島示威 當日除咗大家絕不忘記嘅太子站831警暴,喺日間,大家還在港島。 當日有成千上萬嘅香港人不理會警方反對,佔領港島多處地點,示威者與警方在金鐘爆發衝突,警方出動水炮車和施放多枚催淚彈驅散。 #港島示威 #太子831 #反送中 #毋忘2019 #當年今日
❤🔥14🫡8💩1🤡1
真香港人絕不忘記! #太子831 #太子恐襲 #黑警 #警暴 #黑警死全家 #每日一願望黑警冚家亡
🔥18💔1💩1🤡1
燭光再小 也永不會滅 Art: @vawongsir | 城市亂彈 Source: 綠豆 @greenbean.media #支聯會案 #鄒幸彤 #李卓人 #何俊仁 #ChowHangTung #支聯會 #毋忘六四 #結束一黨專政 #国安法 #冤獄 #欲加之罪
👍8🫡6💩1🤡1😭1
有啲野,一世都唔可以忘記。 #太子831 #太子恐襲 #黑警 #警暴 #黑警死全家 #每日一願望黑警冚家亡
🤬18🔥4😢3💩2❤1
#支聯會案 鄒幸彤不求情 陳詞屢被法官打斷 Patreon 上載「我的陳情文」 集誌社全文: https://tinyurl.com/y8388c29 支聯會及前主席李卓人、前副主席何俊仁、鄒幸彤,被控「煽動顛覆國家政權」罪,支聯會、李卓人、鄒幸彤不認罪,上周五被裁定罪成。各被告連同早前認罪的何俊仁,於28日求情。 鄒幸彤陳詞時,屢被法官李運騰打斷,多次指其言論「可以喺第二個場合講」。鄒幸彤的 Patreon 近中午時上載了「我的陳情文」,《集誌社》以五幅圖歸納鄒幸彤的陳詞重點。 #支聯會案 #鄒幸彤 #李卓人 #何俊仁 #ChowHangTung #支聯會 #毋忘六四 #結束一黨專政 #国安法 #冤獄 #欲加之罪
🙏10🫡2👍1🤡1
共產黨講社交平台自由,真係難聽過粗口 台灣限制小红书,中国強調使用社交平台的自由。中国網民點睇? 台灣當局早前指限制使用內地社交平台小紅書後詐騙案件大幅減少,或考慮延長封鎖措施,引發北京強烈不滿 。國台辦本周三批評民進黨當局捏造藉口、剝奪民眾使用社交平台的自由,台灣陸委會同日隨即反擊,強調有關措施純屬依法防詐。 陸委會更進一步反駁,直指中共長期透過網絡審查機制限制Google、YouTube、Facebook及Instagram等境外網絡服務,國台辦以知情權和平台自由等理由提出批評,不如先改善內地本身的網絡自由 。 #小紅書 #SocialMedia #籠的傳人 #牆國 #網絡長城
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32歲男警涉向被捕人未成年女友提出性要求 被控公職人員行為失當 一名隸屬葵青警區的32歲中國香港警察羅嘉寶,涉嫌於2025年5月調查一宗刑事案件期間,利用職務之便私下聯絡案中被捕人的未成年女友,不僅傳送色情主題訊息及不雅照片,更向未滿16歲的女童X提出性要求。案件28日在沙田裁判法院首次提堂,被告被控一項「在公職中行為失當」罪。 Source: Boom News @boomnewshk #香港警察社會垃圾 #全港最大犯罪集團 #好仔唔當差當差正仆街
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Showing the 12 most recent of 73 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.
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 8 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“777文宣傳播稿件大合集” (@hkposter777), 22,381 subscribers as measured 17 September 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.