Channel
@vskepticfiles
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
971subscribers
-20 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001479473832 |
|---|---|
| Type | Channel |
| Username | @vskepticfiles |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/vskepticfiles |
Health & wellness — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 |
|---|---|---|
| 13 Sept 2026, 23:41 | 971 | -4 |
| 6 Sept 2026, 17:38 | 975 | -4 |
| 29 Aug 2026, 05:23 | 979 | -5 |
| 21 Aug 2026, 04:33 | 984 | -6 |
| 14 Aug 2026, 08:46 | 990 | -2 |
| 7 Aug 2026, 22:08 | 992 | +1 |
| 7 Aug 2026, 01:17 | 991 | first reading |
20 posts held, back to 11 October 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 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 20 posts for this entry, the most recent from 1 September 2022. An engagement rate over an empty window would be a number about nothing.
46 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 95.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 44 | 95.7% | |
| 🔥 | 1 | 2.17% | |
| 🤔 | 1 | 2.17% |
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 8 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 46 reactions 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 11 October 2021 to 1 September 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.
請注意：本翻譯組作品中由 Dr. Bryan Ardis 所主講影片 (https://t.me/vskepticfiles/109) 之引用資料來源已遭修改。 1. 本影片以及其他來源指出美國NIH網站將Ivermectin列為抗病毒療法的來源，是指這份在2021年8月第一次出現的抗病毒藥表格 Table 2e http://web.archive.org/web/20210802115214/https://www.covid19treatmentguidelines.nih.gov/tables/table-2e/ 2. 請注意，以上由WebArchive備份的「Table 2e 」網頁已不復存在於NIH網站。會被自動跳轉到NIH的新版 抗病毒藥表格 Table 4d https://www.covid19treatmentguidelines.nih.gov/tables/antiviral-characterist…
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白賊福奇，謊話連篇，翻譯組最新力作
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好書推介： 【新冠肺炎是生物武器嗎？一場科學與法證的調查】 作者：理查弗萊明 博士/醫師/法學博士 【前言】Part 2/2 當你閱讀了也傾聽了真相，你就必須做決定。你要選擇吞下藍色藥丸，讓自己繼續相信天下太平？繼續相信眾法院、律師們、政客們、科學家們、醫師們都是那麼地善良正義，且對你照顧有加？還是吞下紅色藥丸並發現「真相」？請明白一旦你選擇了紅色藥丸並閱讀本書，就沒有回頭路了。 在我們一同深入探討這些功能增益研究、棘蛋白、生物武器的事實與根據之前，請讓我再作一段最後的聲明。我想要很清楚地表明，蒐集這些資訊是無法靠我一己之力的。取得這些資訊絕非區區小事。許多人冒了極大風險、甚至是性命危險，才讓我們所有人受益於本書中的詳盡調查資料。他們知道他們自己是誰就好，我也不想暴露他們並將他們置於更大的風險，所以我想在此時此地為他們的付出簡單致意。對於他們，我們實在是萬分感謝，無以回報。同時還有些人，堅定對抗那些針對你我且刻意散布的不實…
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好書推介：【新冠肺炎是生物武器嗎？一場科學與法證的調查】 作者：理查弗萊明博士/醫師/法學博士 【前言】Part 1/2 從1999年起，美國聯邦機構就在資助功能增益（gain-of-function）研究。事實上，數十年前的研究紀錄就顯示有人奮力、刻意且知情地在改造病毒。已公開的學術論文有力地顯示，此種功能增益研究的最核心本質，就是要設計出更能感染人和更能傷害人的病原體。在2019年，其中一種病原體被蓄意釋放於中國武漢的濕貨市場。要證明並了解此一生物武器，關鍵就在它的棘蛋白（spike protein），也正是數百萬人體內因注射了新冠疫苗而製造出來的棘蛋白。這些疫苗不是別的，就是此生物武器的遺傳密碼。研究出版、專利發表、經費補助的種種軌跡，都揭露了究竟是哪些人必須為設計與研發此一違反禁止生物武器公約（Biological Weapons Convention）的生物武器擔負刑責，因為他們犯下的是危害人類罪（crimes a…
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#影音創作 歌詞： 本來只打算接種一次 不知不覺已經來到第三次 回過神來 瀕死的躺在醫院病床上 這對身體來說根本一點都不好 雖然心知肚明 卻無法拒絕 笨蛋啊 突刺蛋白大大大量的生產 產 古怪啊 突刺蛋白大大大量的生產 產 啊 突刺蛋白大大大量的生產 產 突刺蛋白 根本沒有用 唏 唏！ 「出色」地無法達到預期效果 發現不對勁時 已經太遲了 一個不留神 免疫系統 變得空空如也 輕易摧毀 因接種而變得健康的人 一個也沒有 雖然心知肚明 卻沒能停止 一旦接種了 就立即腫脹起來 一早應該開口拒絕 卻又再一次伸出了手 被蓋茨騙了 又被收買了 國家 無法承擔責任 雖然心知肚明 卻沒能阻止 沒人叫我吧 沒人叫我吧 那我就先走了！ 日文原作：https://youtu.be/mEHfyo0V56I 翻譯組 https://t.me/vskepticfiles
mRNA疫苗技術發明人Dr. Robert Malone馬龍博士夫婦，在美國夏威夷，與青少年和兒童的面對面深度對話 #兒童 #爆料名人觀點 #免疫原理 #歧視 #用藥自主權 https://t.me/vskepticfiles
護理師爆料 部分針劑其實是安慰劑 #不良反應為何各人不同 針劑含安慰劑 相關證據與資料蒐集： https://t.me/vskepticfiles/112
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mRNA技術發明者羅伯特-馬龍：兒童接種疫苗的風險遠超過收益，呼籲父母抵制和鬥爭以保護孩子 #爆料名人觀點 #受害案例之mRNA類
莫德納早在疫情爆發前早已進入研發？ #爆料病毒起源 #爆料話術與謊言 #爆料衛生機關 小於5分鐘加速版：https://t.me/vskepticfiles/110?comment=65
進醫院必帶兩個救命表格： 1、NIH已經批准伊維菌素治療COVID 2、CMS賄賂醫院使用致命的瑞德西韋 NIH文件： https://www.covid19treatmentguidelines.nih.gov/tables/table-2e/ （注意：內容已遭修改） CMS文件: https://www.cms.gov/medicare/covid-19/new-covid-19-treatments-add-payment-nctap The Reveal Report https://t.me/therevealreport #爆料新冠療法 #爆料衛生機關 #爆料犯罪集團 ——— 20220902更新 請注意：本翻譯組作品中由 Dr. Bryan Ardis 所主講影片 (https://t.me/vskepticfiles/109) 之引用資料來源已遭修改。 1. 本影片以及其他來源指出美國NIH網站將Ive…
#針劑成分之氧化石墨烯 西班牙 疫苗含石墨烯氧化物測試-中文版 @vskepticfiles 翻譯組
知名吹哨者醫師/律師/發明家Dr. Richard Fleming在本集深入淺出說明： 疫苗與病毒的S蛋白哪裡不一樣？ 疫苗如何帶來引起失智的prion？ COVID-19 現有的療法是什麼？ 醫師與病人用藥權利被無情剝奪？ 本集適合一般大眾 以及醫護、生醫專業人士 #針劑迷思概論 #新冠迷思概論 #不良反應S蛋白毒性 #不良反應prion普里昂蛋白 #不良影響之mRNA反轉錄嵌入 #免疫原理 #爆料新冠療法 @vskepticfiles 針劑爆料翻譯組
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Showing the 12 most recent of 20 posts we hold for @vskepticfiles. 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.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“台灣實驗性針劑爆料公社翻譯組” (@vskepticfiles), 971 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/vskepticfiles.
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.