Channel
@formosa_punisher
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
384subscribers
-2 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001780782313 |
|---|---|
| Type | Channel |
| Username | @formosa_punisher |
| Created | Between 1 December 2021 and 15 October 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/formosa_punisher |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 15:39 | 384 | -1 |
| 29 Aug 2026, 02:53 | 385 | -1 |
| 22 Aug 2026, 23:17 | 386 | no change |
| 21 Aug 2026, 23:01 | 386 | first reading |
13 posts held, back to 15 October 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 13 posts for this entry, the most recent from 26 November 2022. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
270 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 31.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 86 | 31.9% | |
| 👍 | 63 | 23.3% | |
| 😁 | 52 | 19.3% | |
| 🤮 | 29 | 10.7% | |
| 🤣 | 17 | 6.30% | |
| ❤ | 8 | 2.96% | |
| 👏 | 8 | 2.96% | |
| 🤔 | 3 | 1.11% | |
| 🤩 | 2 | 0.741% | |
| 🎉 | 1 | 0.37% | |
| 🤯 | 1 | 0.37% |
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 13 of the 13 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 270 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 15 October 2022 to 26 November 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
你可曾聽說過「鱷魚的眼淚」？ 透過 自導自演炸群 > 觀察群眾反應 > 提出解決辦法，這是標準的 problem-reaction-solution(PRS) 方案，目的在使集權合法化、增加權威，PRS更是一種宣傳技巧和思想操縱的辦法。 歷史上著名的例子便是美國911事件之後誕生的「愛國者法案」，該法案的通過使得大監控時代來臨，也侵害了基本人權。 在截圖中我們可以看到某人的自製機器人也同樣具備監控功能，再加上過去他謊話連篇的不良紀錄，我不相信他是「出於好意提供解決方案」。 https://t.me/djhgaming/8804 註記： 一、電報有內建翻譯（使用教學） 二、在此提供一些可靠的BOT： @GroupHelpBot 目前功能最完備的機器人 @SangMata_BOT 可以檢查用戶的UID，及是否更名 @Customize_Captcha_Bot 可以自定義入群問題及答案
👍18❤6🔥4🤮1
本教授牛逼的分析了8月2日佩洛西去台灣後的台海局勢。很多智障都把中共說的話當放屁，只要佩洛西飛機一著陸，中共一定會打台灣，蔡英文一定會自己跑掉，讓台灣軍隊抵抗24小時等美軍。但美國和盟友屁都不放一個，說明台灣已經被賣了，美軍一定不會來。 等等，現在已經11月了？ #台海危機 #武統 #蔡英文
🤣17😁15🤮2❤1👍1🔥1
低級黑小明是
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🔥6🤮3👍2🤔2
🧭快速導航 🔥 10月中文圈炸群事件大揭露 🌓 歷史案件大揭露
🔥7🤮1
這傢伙就算發瘋了，也不忘替黨宣傳統一台灣，這種愛黨精神⋯ 距離他們八月份宣傳武統台灣、台海戰爭要開打了，到現在已經兩個月過去⋯什麼都沒發生，你還要繼續相信低級黑小明和海綿皮寶寶嗎？ 造謠武統始末： https://t.me/formosa_punisher/434
😁17👍7🔥3🤮3
Voice message, posted without a caption
🔥14😁7🤮6
我只能說他真的發瘋了，想用語音恐嚇我，結果忘了開變聲器⋯ 就算他壓低聲音，也聽得出來就是低級黑小明本人的聲線特徵⋯ 上帝要其滅亡，必先使其瘋狂。
🔥13😁9👏2🤮2👍1🤔1
你們自己看看這些傢伙有多蠢？ 人渣海綿做了一個影片攻擊我，結果「脂人洨冥（炸群天尊）」也拿他做的影片攻擊我，這不就是他們是同一夥人的證據之一？ 一直把FNTSY跟其他毫無關聯的人串在一起也是夠好笑的。 中共外宣特務低級明，還有性騷擾人渣海綿體，你們真的不用玩了。
👍11🔥4🤮2❤1🎉1
中共外宣特務低級明一直透過他養的性騷擾人渣海綿皮寶寶，不斷用他的造謠頻道攻擊我，把FNTSY這個名字和其他完全不相關的人串連一起，試圖造成混亂，但事實上我們都是不同人，他們已經透過這種方式混淆事實多次。 人渣海綿體對我的指控完全都是無中生有，他們連個像樣的截圖或者影片證據都提不出來，反而是我握有大量他們到處惡搞的證據。 對了，人渣海綿體，你收中共外宣的的錢收得很開心嘛，你的金流應該正在被調查了。
👍8🔥3🤩2🤮2👏1
但人渣低級明應該想不到我們完全不怕威脅。在我揭露炸群人渣就是低級明之後，他依然故意炸群並且試圖栽贓給我。 接下來也會看到其他證據。
🔥9👏4🤮3👍1
從截圖中可以看到，低級明很在意西行小寶和豬妹，這些也都是他曾經惡意攻擊過的對象。 而第二張圖是因為Duke選擇向我爆料惹到低級明，低級明也公開威脅他。 為什麼低級明會說「告密者」？ 因為Duke握有大量低級明和海綿人渣作亂的資訊。
👍9🔥3👏1🤮1🤯1
各位還記得本頻道之前揭露過，低級明付錢養了一個台灣水軍海綿皮寶寶嗎？當時向我爆料的爆料人也選擇挺身對抗這些網路人渣了。 這位夥伴本來是低級明裡的管理員、也曾擔任海綿群的群管，但最終受不了他們那種造謠抹黑四處攻擊別人的惡行惡狀，轉而選擇向我提供資訊。 原文： https://t.me/formosa_punisher/478
🔥9👍3🤮1
Showing the 12 most recent of 13 posts we hold for @formosa_punisher. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
低級黑小明是
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 13 most recent posts we hold, published 15 October 2022 to 26 November 2022. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“制裁者—揭露頻道” (@formosa_punisher), 384 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/formosa_punisher.
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.