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Channel

矩陣兔穴 Matrix Rabbit Hole

@MatrixRabbitHole1111

On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

4,599subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001337613069
TypeChannel
Username@MatrixRabbitHole1111
Created26 May 2021measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/MatrixRabbitHole1111

Growth

4,5994,6064,602.56 August 2026 — 4,605 subscribers7 August 2026 — 4,606 subscribers13 August 2026 — 4,600 subscribers16 August 2026 — 4,599 subscribers6 August 202616 August 2026
4 measurements spanning 10 days, net -6. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 4,598–4,607 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:134,599-1
13 Aug 2026, 00:524,600-6
7 Aug 2026, 12:444,606+1
6 Aug 2026, 21:034,605first reading

Engagement

81 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.35%
avg views ÷ 4,599 subscribers
Avg views / post
200
81 posts measured
Reaction rate
4.02%
reactions ÷ views · ER floor
Posts in window
81
of 81 held

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 79 of 81 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held81 (5 August 202612 August 2026)
Views total16,201
Reactions total650
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:45 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.

Reaction mix

650 reactions across 79 posts, in 21 distinct kinds. The most used accounts for 21.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13721.1%
👏8412.9%
🤬538.15%
🖕487.38%
🤔467.08%
🙏436.62%
406.15%
👀385.85%
💩385.85%
🔥365.54%
😈233.54%
💯213.23%
132.00%
😁111.69%
🍌81.23%
🕊30.462%
😱20.308%
🤣20.308%
🥱20.308%
🎉10.154%
1 further kind10.154%

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 79 of the 81 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 650reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 5 August 2026 to 12 August 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.

Recent posts

12 Aug 2026, 04:22 UTC67 views1 reactionsread 12 August 2026

🚨 緊急消息,愛國者們! #JoeRogan 剛剛揭露特朗普如何用一條簡訊衝破 #FDA #深層政府 56 年的把關——立即為 IBOGAINE 提供全面批准,這種奇蹟般的植物藥物只需 1-2 劑就能治癒 80-90% 的成癮問題! #特朗普 的回覆?「聽起來很棒。你想要 FDA 批准嗎?我們來做吧。」 當 #製藥巨頭 為了利潤讓 #美國 人沉迷其中時,#特朗普 總統正在抽乾沼澤,拯救退伍軍人 + 我們這些人民免於他們製造的成癮噩夢! 這是真正的行動,不是空談。 還有誰像我一樣激動地想看到 #特朗普 終於粉碎這個腐敗系統? 保持聯繫,下一個爆料將令人震驚。 https://vxtwitter.com/Q_TheStormRider/status/2087241311040491820 #BigPharma #製藥巨頭

👍1

12 Aug 2026, 03:20 UTC97 views5 reactionsread 12 August 2026

🚨 剛剛:#NIH 主任 Jay Bhattacharya 猛烈抨擊 #Fauci #福奇 對數百萬美國人隱瞞 #COVID19疫苗 可能導致女性流產的證據 然後他公開說孕婦接種疫苗「沒有任何警示」 對 #美國 的罪行。 「 Fauci 沒有做到的負責任之事,就是將他內心的那些擔憂公開!」 「他有責任告訴公眾他的真實想法,但他未能做到!」💯 「而且他積極支持強制令,並否認 #天然免疫。」 https://vxtwitter.com/EricLDaugh/status/2087178004652822535 #疫情條約 #COVID19疫苗 #COVID19 #疫苗副作用 #疫苗接種 #反人類罪 #強制打疫苗 #生物武器 #實驗性疫苗 #詐騙 #醫療詐騙 #假疫情 #千人計劃  #BigPharma #生物武器 #武漢實驗室

🖕3🤔1🤬1

12 Aug 2026, 03:04 UTC91 views4 reactionsread 12 August 2026

#美國 總統顧問彼得·納瓦羅剛剛重磅出擊:新解密的「#通俄門 陰謀」文件揭露了完整的指揮鏈——確切的姓名、確切的命令、確切試圖推翻一位合法當選總統的陰謀。 這不是「錯誤」。 這不是「粗糙的工作」。 這是來自 #FBI 和 #司法部 最高層對 #美國 民主的協調攻擊。 文件證據已公開。 姓名已知曉。 證據無可否認。 是時候開始將他們關起來了。 不再有毫無結果的傳票。 不再有無休止的調查。 不再保護那個沼澤。 正義延遲就是正義被剝奪。 美國人民已經等得夠久了。 關。起來。他們。🔒🔥 https://vxtwitter.com/ConstitustionX/status/2087251638407082360 #深層政府 #DeepState

👏3👍1

12 Aug 2026, 02:59 UTC97 views5 reactionsread 12 August 2026

#小羅拔甘迺迪 部長揭露,#拜登 政府清除了衛生與公共服務部(HHS)中90%以上負責監督2200億美元支付反 #詐騙 工作的80名人員 2200億美元被當作無物般對待!!數百億美元流失 澤維爾·貝塞拉允許大規模欺詐發生。 「當我上任時,只有6個人負責我部門的所有計劃完整性!」 「我的前任澤維爾·貝塞拉,當他接手我的機構時,計劃完整性部門只有80個人,只有80個人。這是負責50個州和五個領土。這些人負責監控我機構每年2200億美元的支付!」 「我們每天處理400萬筆交易。只有80個人負責審核這些。澤維爾·貝塞拉上任後,將其中76人調走!」 「這等於邀請詐欺犯進來偷竊一切!」 「這就是為什麼我們有這個安寧療護計劃!我們在洛杉磯關閉了數千家安寧療護機構。因為他們根本沒有病人。他們只是每月向我們開出6000美元的假帳單!」 「還有耐用醫療設備詐騙,在 #洛杉磯 縣就有數百億美元。自閉症服務,也被偷走數百億美元,全因為沒

🤬31🔥1

11 Aug 2026, 17:00 UTC222 views13 reactionsread 12 August 2026

#美國 #財政部 部長 Scott Bessent #貝森特 剛在鏡頭前丟下一顆核彈級震撼彈,整個 #深層政府 都在顫抖: 「沼狐是我的 #特勤局 代號… 我想我會惹上麻煩。 當我選它時…我沒意識到它有兩個意思!!!」 😂🔥 其中一個意思 = 美國獨立戰爭傳奇人物 Francis Marion,原創游擊戰士,他在沼澤中焚燒英國人。 另一個意思??? #華盛頓 沼澤內部一個狡猾的掠食者四處遊蕩…而他剛剛笑著承認了這一點。 這個男人不是在玩鬧。他甚至不打算隱瞞。 我們正在見證純粹、未經濾鏡的歷史能量。 還有誰現在完全為此崩潰?! 🔥🔥🔥 如果 Bessent 是你的精神動物,就丟一個 🦊 https://vxtwitter.com/ConstitustionX/status/2087076261109916034

8👏2🤔2🙏1

11 Aug 2026, 16:19 UTC218 views8 reactionsread 12 August 2026

🤔🤔 8/11/26 #特朗普 總統昨天在他的 #TruthSocial 中,點名了哪些 #美國 公司、外國機構資助 #左派 人渣抗議、破壞 #美國。它們在這裡: 「這份報告不過是又一場 #激進左翼 的騙局(SCAM),而資助這幫瘋子的那些人也同樣如此,其中包括: #喬治索羅斯 比爾和梅琳達 #蓋茨 #Google #蘋果 Visa #高盛 #花旗集團 #富國銀行 美國銀行 #沃爾瑪 #豐田 T-Mobile NBC環球 外國方面的支持者包括: #日本 大使館 #韓國 國際交流財團 臺北經濟文化代表處(#台灣) #阿聯猶 大使館。 https://t.me/ruldophwest17/53204

👀5🤬3

11 Aug 2026, 15:57 UTC210 views10 reactionsread 12 August 2026

#福奇 博士完蛋了! 避險基金億萬富翁比爾·阿克曼和他的妻子因為 #Covid19疫苗 導致7次流產。福奇和所有其他涉案人員必須被追究責任。 #參議院 衛生與教育委員會呼籲對 #福奇 醫生指定特別顧問,調查他故意隱瞞新冠疫苗副作用導致孕婦流產。 「內里(和我)在新冠期間試圖生第二胎時經歷了7次流產,然後時間期限就過了。他到底在想什麼?WTF?」——比爾·阿克曼 https://vxtwitter.com/TheSCIF/status/2087190951068348821 福奇博士隱瞞了數據,這些數據顯示在孕早期接種 #mRNA疫苗 的孕婦流產率超過80% 這實際上就是一種墮胎針。這是謀殺。 根據 @RandPaul 和 @SenRonJohnson 今天發布的文件,「原始數據顯示在孕早期接種疫苗的女性流產率達82%。這與輝瑞5.3.6上市後數據中註明的81%流產率一致」 這項研究於2021年

😈4🔥3🤬3

11 Aug 2026, 15:53 UTC177 views14 reactionsread 12 August 2026

🚨突發新聞:父母現在可以起訴州政府,如果他們不允許孩子以宗教豁免為由選擇不接種 #疫苗。 這是重大新聞。沒有其他總統有勇氣做特朗普正在做的事。 上帝保佑 #特朗普,有史以來最好的總統。 https://vxtwitter.com/BoLoudon/status/2086944882183041326?s=20 #疫苗接種 #強制疫苗 #疫苗副作用

👏9🙏5

11 Aug 2026, 14:53 UTC203 views16 reactionsread 12 August 2026

#特朗普 總統在 #土耳其 智勝 #伊朗 威脅,當時全世界以為他還在老舊的空軍一號上,他卻跳上一輛餐飲卡車換乘飛機 這簡直是詹士邦式的任務 根據報導,#特朗普 總統在 #土耳其 登上空軍一號,一名穿西裝的 #特勤局 探員跳上一輛餐飲卡車,然後在卡車連接到 #空軍一號 右舷(右側)時,示意總統(POTUS)進入卡車的貨斗。 總統上車後,卡車移到停在空軍一號旁邊的較小型空軍C-32飛機,然後讓他下車。 飛機隨後飛往 #英國,總統被偷偷帶回已在停機坪等候的新空軍一號上。 特勤局幹得太不可思議了。上帝保佑他們 🇺🇸 https://vxtwitter.com/nicksortor/status/2086972786279362626 #暗殺 #特朗普遇刺

🙏15👏1

11 Aug 2026, 14:32 UTC269 views9 reactionsread 12 August 2026

🚨 更新:#特朗普 總統表示,他的政府正在積極尋找方法,來規避 #拜登 用 #自動筆(autopen)簽署的 #福奇(#Fauci)#特赦 令,以及其他用自動筆名簽署的文件。 「他幾乎所有東西都用 #自動筆,只有一個例外:#享特拜登。#享特拜登 拿到的是絕對 #特赦 。」 「他會說他有授權[其他那些],但有用書面授權嗎?我很懷疑。」 「真正的問題是:是否必須有書面授權?答案很可能是必須!因為他沒有用書面授權。」 「我們正在研究這件事……順便說一下,還有比福奇更大的事情可以挑戰!」 https://vxtwitter.com/EricLDaugh/status/2087173076278505835?s=20

👍7👏1🔥1

11 Aug 2026, 07:11 UTC259 views13 reactionsread 12 August 2026

🚨 #RFKJR. 剛剛揭露了殘酷的事實 1970 年,#自閉症 發病率不到 1/10,000。 今天呢? 全國 1/31 的兒童。 #加州 1/19。 男孩 1/12.5。 他們告訴我們「只是診斷得更多了」。 那是謊言。年長一代從未見過這些比率。 90 年代中期,某件事改變了。 #美國 給兒童注射 72–94 劑疫苗——超過任何其他發達國家。 #特朗普 和 #RFKJR 剛剛將兒童疫苗計劃從 17 種減至 11 種核心 #疫苗。 分散注射。較小劑量。注射間隔更長。 他們終於開始研究接種疫苗兒童與未接種兒童的比較、疫苗成分、時機,以及每一個可能的原因。 不再有不可觸碰的禁忌。 不再有「相信我們」。 只有數據。 父母值得知道真相。 https://vxtwitter.com/GuntherEagleman/status/2086895337545801994 #疫苗接種 #強制疫苗 #疫苗副作用

12🕊1

11 Aug 2026, 06:22 UTC270 views7 reactionsread 12 August 2026

🚨🏦 #蘭德保羅 抵達 #諾克斯堡 金庫檢查 #美國 #黃金 儲備⚠️ 👀「我即將深入地下,稍後會告訴你們我看到了什麼。」👀 你將看到1.473億盎司的黃金,蘭德。 問題不在於黃金是否還靜置在諾克斯堡的金庫中。(它是。) 問題在於其中有多少1.473億盎司的黃金已被再抵押300倍,用以壓低美元黃金價格? 這才是價值百萬美元的問題……我們懷疑這會帶來與蘭德今天下午即將得出的結論截然不同的結果。 那個數字需要對美國黃金儲備進行全面審計,而不是簡單的視覺巡視。 https://vxtwitter.com/silvertrade/status/2086875228656091162 #黃金 #白銀 #金本位 #諾克斯堡 #FortKnox

👏3💯2🙏2

Showing the 12 most recent of 81 posts we hold for @MatrixRabbitHole1111. 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.

Posts edited after publishing

@MatrixRabbitHole1111 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 124,891 of 1,549,376entries 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

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 3 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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“矩陣兔穴 Matrix Rabbit Hole” (@MatrixRabbitHole1111), 4,599 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/MatrixRabbitHole1111.

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.