此言是否屬實?或衹是又一個華麗的謊言? 無人知曉,為什麼諸多神秘學的內容都指向這一個小東西? 我們所知道的微乎其微,活在一個充滿謊言的世界,有什麼是真可以相信的。。。 #PinealGland #松果腺體 #Mystery #奧秘 #Secret #秘密 #Lie #謊言 #Truth #真相

Channel
疫時代 Pandemic ᴛʀᴜᴛʜs
@pandemictruths
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
1,967subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001265401072 |
|---|---|
| Type | Channel |
| Username | @pandemictruths |
| Created | 31 July 2021 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/pandemictruths |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 15:34 | 1,967 | -3 |
| 14 Aug 2026, 13:55 | 1,970 | -3 |
| 10 Aug 2026, 22:41 | 1,973 | -2 |
| 7 Aug 2026, 01:30 | 1,975 | no change |
| 7 Aug 2026, 01:24 | 1,975 | first reading |
Engagement
18 posts held, back to 30 January 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 18 posts for this entry, the most recent from 24 May 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 22m 32s
- Average length
- 4m 30s
Measured directly from 5 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.
Reaction mix
106 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 60.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 64 | 60.4% | |
| ❤ | 11 | 10.4% | |
| 🕊 | 10 | 9.43% | |
| 🥰 | 8 | 7.55% | |
| 😁 | 7 | 6.60% | |
| 🙏 | 2 | 1.89% | |
| 👎 | 1 | 0.943% | |
| 💩 | 1 | 0.943% | |
| 🔥 | 1 | 0.943% | |
| 🤔 | 1 | 0.943% |
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 15 of the 18 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 106reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 30 January 2023 to 24 May 2025, 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
🌌【頻道① — 真相的入口】 你是否懷疑: 🤖 AI的終極目的是什麼? 🧬 疫苗背後藏著什麼真相? 🐉 世界將走向滅世災劫還是東方崛起? 🔺 你是否已經看見了「獸之印記」的影子? 現在,加入我們的真相探索者社群! 📲 點擊進入機器人,完成註冊 🔍 解鎖完整內容:陰陽謀、假病毒、彌天大謊、覺醒時代... 👇真相的旅程,由你選擇👇 👉 [點此進入機器人註冊] @pandemictruthccbot
❤2
問:2mg是什麽概念? 2mg大概就是鉛筆尖上面放一點點,可以看得到根本收集不來。芬太尼的致命風險非常高,2mg就可以致死,它合成又非常容易。 問:之前還有新聞報道它們還做成糖果樣給小朋友吃! 我們這邊 (美國) Local News 的去年萬聖節有新聞提醒:父母小心!有些糖果里含有芬太尼! 問:知道為什麼會有這種事情嗎? 1公斤芬太尼純度極高的原料800美金,出口到墨西哥,制成後再傾銷回到美國。一片芬太尼制劑的毒品大概就3~5美金,而且還有不斷降價的趨勢,就是小孩口袋里的零花錢都要用芬太尼騙過來,這也是為什麽它會出現在兒童的藥品或者糖果里面。 完整節目鏈接:https://gettr.com/streaming/p33zwwzaccb #芬太尼 #Fentanyl #超限戰 #中共 #鴉片戰爭
👍3❤1
【#CCP 超限戰真的來了!武器:芬太尼】 #芬太尼 #Fentanyl 是一種合成類鴉片藥物,其效力比海洛因強50倍。 美國表示,中國制造的合成鴉片藥物導致美國歷史上最嚴重的毒品危機,近年來每年死於過量服用芬太尼的美國人數連續幾年超過100,000人。 根據美國眾議院中共問題特設委員會的報告,中國政府向公開販賣非法合成藥物的化工企業提供補貼,這些合成毒品經由加拿大和墨西哥的廣袤邊境地區流入美國。 2023年美中首腦峰會上,中國領導人習近平與時任美國總統拜登達成協議,將合作打擊毒品販運。 中國同意打擊化學品公司,以阻止非法芬太尼流入美國,但是中國外交部發言人最近表示,「芬太尼是美國的問題」,主要是藥品濫用和毒品泛濫引起的。 🔴 芬太尼作為一種中共「超限戰」的工具?中共毒品的四種功能喔?毒販也被蔣介石當成是政治交換的工具唷⁉️ 🔴 千萬別碰!芬太尼造成的死亡人口比…
👍2
Ⅳ 🧟♂️🧟♀️💉 THE Chemical #Fentanyl 抑制中樞及呼吸系統 (#芬太尼) - 大腦與腦波系列~2 芬太尼具強效抑制大腦功能,包含呼吸中樞。視頻顯示女警察吸入過量芬太尼的危急情況。 Fentanyl has a potent inhibitory effect on brain function, including the respiratory center. Videos show the critical situation of a police officer who inhaled an overdose of fentanyl. 資料:t.me/Fibonacci_adj
❤1👍1
Ⅲ🧟♂️🧟♀️💉 THE Chemical #Fentanyl #芬太尼 #喪屍 - 大腦與腦波系列~1 長期服用芬太尼的成癮者表示,藥物會讓人進入睡夢狀態,但仍以為自己還在走路,此時,身體呈現怪異彎折姿勢,媒體以「喪屍」形容。 成癮是因為有需求,但這些人是透過外部服用,讓自己放松、遠離痛苦。其實,手機成癮也是類似的情況。 然而,只要大腦接受適度的訓練,例如冥想,自己就可以做到釋放痛苦,不需要額外服用此類藥物。 THE Chemical Fentanyl Zombie - Brain Wave Series 14-12 Fentanyl addicts taking fentanyl for a long time said that the drug would make them fall into a dream state, but they would still think they were wa…
👍1
Ⅱ🧟♂️🧟♀️💉 喪屍已經走進現實生活中——「它正在吃掉他們的肉,接管他們的身體!」 喪屍橫行,從喪屍街到喪屍區,再到喪屍城… 人們多年來觀看 #喪屍 電影,現在終於修成正果了,喪屍已經不再是科幻產物,而是活生生地(在某些地區)隨處可見。 活在電影中的人們,竟然表現出對喪屍題材的一切更有興趣;對於變成了「半人半喪屍」的人死在街頭,卻表現出冷漠,好像已經習慣了見到在街上有人死去。 這種非常危險的物質正開始在許多其他地方傳播,90%的非法毒品供應都含有它。三藩市、洛杉磯、紐約市也檢測到,無論如何它正在殺人。 它使人們「喪屍化」服用它之後,人們醒來時會發現渾身都是洞,它似乎在吃掉人們的肉,並接管他們的身體(同化宿主/奪舍)。因而導致他們的腿部受傷、雙手腫脹、以至四肢缺失而四處走動。你會看到人們在指關節接觸地面時,看起來像動物一樣四處走動。 這裡所說的是「#甲苯噻嗪 #XYLAZINE」它本來只用於馬和牛,但現在卻被人類濫…
👍2
Ⅰ🧟♂️🧟♀️💉 據《紐約郵報》報道,隨著通常被稱為“鎮靜劑”的藥物二甲肼進入裝有冰毒、可卡因和海洛因的毒品袋,令人惡心的故事越來越多。 吸毒者不知道他們正在吸食、註射和吸食的毒品實際上含有這種喪屍藥,它會腐蝕肉體,並消除覺知、意識。 據報道,這種喪屍藥也進入了經常被濫用的藥片中,比如阿普唑侖(Xanax)和其他止痛藥和鎮靜劑。因此,這些藥物的使用者很可能也在服用鎮靜劑,不管他們是否願意這樣做。 這種藥物的廣泛存在讓阿斯伯里公園探訪護士協會健康小組的工作人員感到震驚。這是新澤西第一家進行鎮靜劑測試的機構,大約三個月前,案件經理查德·哈蘭(Chad Harlan)向《華盛頓郵報》解釋說,在每位客戶的尿液中都發現了鎮靜劑,他補充說,使用鎮靜劑等同於使用毒品。 更糟糕的是,最近與鎮靜劑相關的死亡人數也在激增。《紐約郵報》解釋說,2021年,與喪屍藥有關的藥物過量死亡率,比三年前高出35倍。 美國疾病控制與預防中心最近的一…
👍1
⤵️⤵️⤵️☠️ #芬太尼 ☠️⤵️⤵️⤵️
~2011年3月11日,東日本發生大地震,以及後續造成慘重傷亡的大海嘯。不少人才驚訝發現,這本十二年前出版的漫畫,封面竟然直接畫出「大災害是在2011年3月」的預言,此一發現迅速讓此書成為預言神書,在日本引起大轟動,台灣的媒體也多所報導。 2020年Covid-19疫情爆發,有網友假藉此書捏造預言,有人甚至冒名頂替作者接受雜誌訪談,也有網紅對書中的預言加上自己的見解,連日本電視的黃金檔節目都介紹了這本書,風潮延燒到華人世界,許多知名YouTuber也都特別製作節目講解介紹此書,引發好奇討論潮。 然而,此書絕版已久,入手極為困難。在日本網路上拍賣價甚至炒作到一本16萬日圓。 【尚未驗證的夢境:】 自1993年起三度夢見富士山大噴發的夢境,夢境的時間點分別是1991年、2002年、2005年。1995年1月2日夢見大地出現兩處巨大的龜裂,天上出現一名女性,龍樹諒在夢中請該位女性帶她離開,得到「等5年…
👍2❤1
龍樹諒在《我所看見的未來-完整版》收錄自稱與後續現實有所對應的夢境如下: 1976年11月24日夢見皇后合唱團佛萊迪·墨裘瑞的逝世,1986年11月28日再度夢見皇后合唱團的夢境,夢中出現除了主唱佛萊迪以外的其他團員與一名不認識男性的雕像,後來佛萊迪在現實過世的日期為1991年11月24日,和初次夢見佛萊迪逝世的日期同為11月24日。 1989年8月27日夢見一處洞窟出現不相識的女性,龍樹諒從夢境醒來後,前往橫濱當地的某處公園附近散步,發現當地防空洞的環境和夢境裡的洞窟相同便拿起相機拍照記錄,幾日後新聞報導防空洞發生女性遇害事件,往生者衣著特徵與夢境出現的女性不謀而合。 1993年9月14日夢見了自己和四個人一起走,途中經過一個種有枇杷的岔路處,被一名穿著農作服的老婦人朝她大吼,後來居住在山形縣的母方舅舅的葬禮日期在1994年9月14日舉行,龍樹諒在前往葬禮會場途中經過了和夢境相同的交岔路口,唯獨現實中出現的…
❤1🔥1
Channel photo updated
Showing the 12 most recent of 18 posts we hold for @pandemictruths. 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.
Polls
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.
POLL 7 雨後春筍的季節,又能再搞一波升級版內啥了!
- 肯定的,苗頭漸露!🤐37%
- 嚇!我太難了😫…準備躲哪16%
- 媽的不管了!我定要環遊世界🛩️!12%
- 未必喲🤔,不會了啦!13%
- 搞不搞關我屁事!隨它💩!30%
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 18 most recent posts we hold, published 30 January 2023 to 24 May 2025. 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.
Citation-graph rank
Citation-graph rank — 1,093,543 of 1,480,975entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 2 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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“疫時代 Pandemic ᴛʀᴜᴛʜs” (@pandemictruths), 1,967 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/pandemictruths.
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.