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訂閱數2080萬
總播放43.2億
影片數509
Veritasium發布於 2026年4月30日 上午04:3033:25
The Crystal That Could Destroy All Medicine thumbnail

The Crystal That Could Destroy All Medicine

上個月長尾期
veritasiumsciencephysicsVeritasiumchemistrycrystal could destroy
發布時間
2026年4月30日 上午04:30
影片時長
33:25
影片類型
科學科技
頻道地區
美國
發布時間判斷
發布時間判斷資料不足
當前頻道仍缺少完整的歷史發布時間模式,建議繼續累積頻道資料後再觀察最佳時段命中情況。
商業化判斷
高 RPM
當前影片具備較高 RPM 區間,說明主題更接近商業化友好的廣告庫存,適合復盤標題、受眾和內容長度。
動作建議
優先觀察持續成長能力
當前影片基礎條件較完整,建議繼續觀察近7日播放和收入是否穩定抬升,再決定是否擴寫成系列內容。
播放量
882.8萬
按讚數
22.7萬
留言數
1.3萬
日預估收入
$38.9 - $226.9
累計預估收入
$8474.5 - $4.9萬
RPM 區間
$0.96 - $5.6
1日漲播放
0
7日漲播放
0
1日漲按讚
0
7日漲按讚
0
1日漲留言
0
7日漲留言
0
速度分
0%
主題聚類
veritasium
影片說明
The crystals that wiped out an HIV medication, almost overnight. Thanks to SoFi for sponsoring the video! Click here to sign-up for SoFi Checking and Savings: https://sofi.com/ve If you’re looking for a molecular modelling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV Sign up for the Veritasium newsletter for weekly science updates - https://ve42.co/Newsletter ▀▀▀ Check out the excellent video by Reactions here: https://youtu.be/PccOwGEbtQU?si=NOpmaulDcoq6Kif- This video was a huge collaborative effort! Special thanks to… Dr Andreas Kafizas for all his help with the Silver and Tin demonstrations, and staying up for those 14 hours with us monitoring the timelapse! As well as Conrad Duncan and the team at Imperial College London. @ChrisYoungCooks for teaching Casper how to temper chocolate and @jameshoffmann and the team for letting us take over their studio; we had a great day! Many thanks to Professor Adam Matzger, Professor Katharina Fromm and Professor Mike Zaworotko for taking the time to talk to us. Also thank you to Dr. William McVicker and the British Institute of Organ Studies and Chris at Luciteria Science for helping us source our grey and white tin samples. Correction: 11:45 should say carbon-nitrogen triple bond not double bond ▀▀▀ 0:00 The Disease Infecting Miracle Medicine 4:20 An Explosive Feud 10:05 How The Same Compound Can Behave Two Different Ways 13:18 Polymorphs Of Chocolate 19:51 Why Ritonavir Stopped Working 22:57 The Tin Pest 27:28 Disappearing Polymorphs 30:20 Is Everything Polymorphic? ▀▀▀ References can be found here - https://ve42.co/PolymorphRefs ▀▀▀ Special thanks to our Patreon supporters: Adam Foreman, Albert Wenger, Alex Porter, Alexander Tamas, André Powell, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Blake Byers, Bruce, Bryan Ackermann, Cartier, Chris Brewer, Daniel Martins, Data Don, Dave Kircher, David Johnston, David Tseng, EJ Alexandra, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, Hayden Christensen, Hong Thai Le, Ibby Hadeed, Jeromy Johnson, Jesse Brandsoy, Juan Benet, Kelcey Steele, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Mark Heising, Martin Paull, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Parsee Health, Paul Peijzel, Richard Sundvall, Robson, Sam Lutfi, Shalva Bukia, Sinan Taifour, Tj Steyn, Ubiquity Ventures, Vahe Andonians, William Yoon, wolfee ▀▀▀ Writers: Gabe Strong & Casper Mebius Producer and Director: Gabe Strong Presenters: Derek Muller & Casper Mebius Editor: Trenton Oliver Assistant Editor: James Stuart Art Director: Mathias Hawk Illustrators: Jakub Misiek, Emma Wright, Maria Gusakovich & Raphael Aubry Animators: Fabio Albertelli, Andrew Neet, Emma Wright & Alex Drakoulis Researcher: Sophia Rose Additional Research: Callum Cuttle Camera Operators: Rob Newman, Casper Mebius, Gabe Strong, Callum Cuttle & Derek Muller Voice-over Artist: Gregor Čavlović Thumbnail Designers: Abdallah Rabah, Ren Hurley & Ben Powell Production Team: Jess Bishop-Laggett, Glen Griffiths, Mathew Cavanagh & Anna Milkovic Executive Producers: Derek Muller, Casper Mebius & Gregor Čavlović Additional video/photos supplied by Getty Images & Storyblocks Music from Epidemic Sound
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圍繞當前主題繼續看高相關影片,幫助判斷選題空間和內容形態。
主題:veritasium
暫無足夠的同主題影片資料。
影片常見問題

以下問題聚焦這支影片能提供哪些洞察、收益為何是估算值,以及如何用它做內容研究。

這個影片頁能看出什麼?

你可以查看觀看、按讚、留言、RPM 與收益估算、發布時間、主題標籤、相關影片以及所屬頻道背景,用來判斷內容表現與後續選題方向。

為什麼 RPM 和收益只是估算值?

實際收入會受到廣告填充率、受眾地區、季節性、廣告需求與是否開啟營利等因素影響,因此這些數字更適合拿來看趨勢與做橫向比較。

怎麼用這個影片頁做內容研究?

建議搭配發布時間、主題標籤、相關影片與頻道歷史內容,觀察哪些題材、節奏與發布時段更容易帶來觀看與商業化表現。