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訂閱數39.6萬
總播放3503.7萬
影片數345
The Quantified Scientist發布於 2026年2月11日 下午10:0120:53
We Studied 15 Wearables In A Sleep Lab! thumbnail

We Studied 15 Wearables In A Sleep Lab!

3 個月前長尾期
best smartwatchdc rainmakerdesfitmatt legrandshervin sharesstudied wearables sleep
發布時間
2026年2月11日 下午10:01
影片時長
20:53
影片類型
科學科技
頻道地區
荷蘭
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
5.2萬
按讚數
1568
留言數
177
日預估收入
-
累計預估收入
$41.88 - $244.54
RPM 區間
$0.81 - $4.73
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
best smartwatch
影片說明
▬▬▬▬▬▬▬▬▬▬👇DISCOUNTS/AFFILIATES*!👇▬▬▬▬▬▬▬▬▬▬ 🔴 Anything on Amazon*: https://geni.us/thequantifiedscientist 🔴 Eight sleep best $$$ (€) discount*: https://eight-sleep.ioym.net/TheQuantifiedScientist + add code “TQS” for full discount 🔴 Whoop Strap MG / 5.0*: https://join.whoop.com/QuantifiedScientist (best $$$ off any new WHOOP membership) 🔴 Oura Ring Link: I recommend you search for a discount on reddit with the "Refer-A-Friend" program! If you can’t find one: https://ouraring.sjv.io/Oura4 * (affiliate link that supports the channel, but doesn't have a discount) 🔴 Best Running app Runna*: https://web.runna.com/redeem?code=QUANT 🔴 Strava Premium 20%*: https://www.strava.com/subscribe/checkout?code=QUANTIFIEDSCIENTIST 🔴 Levels CGM app best offer $$$ (USA only!)*: http://levels.link/QS 🔴 Anything on Amazon*: https://geni.us/thequantifiedscientist ☝️Affiliate* (paid) links. Supports the channel, doesn't cost you any more!☝️ 🟢 Instagram: https://www.instagram.com/quantified_scientist/ 🟡 Strava: https://www.strava.com/athletes/5206985 🟠 Shorts: https://www.youtube.com/@smartwatchshorts 🔵 Newsletter: www.robterhorst.com 🟡 Twitter: @QuantifiedRob * Affiliate (paid) links support the channel by earning me a commission on any sale, and it doesn't cost you any more! My opinions are completely my own, and this content is not sponsored. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🟡 Support the channel by becoming a member🙏: https://www.youtube.com/channel/UChNWxrTlmh4IRSevon1X93g/join PodCast: (soon to come) https://www.youtube.com/@FitForScience @FitForScience Subscribe: https://www.youtube.com/@TheQuantifiedScientist?sub_confirmation=1 Video edited by Alex: https://linktr.ee/allexb 📸My Gear* (paid links, supports the channel and doesn’t cost you any more)📸 Camera body (main): https://geni.us/SonyA6600_body Camera lens (main): https://geni.us/SigmaContemporary Camera (B-roll 1): https://geni.us/Sony_ZVE1 Camera (B-roll 2): https://geni.us/CanonEosM50MarkII and https://geni.us/Sony_ZVE10 Light: https://geni.us/Godox_VL150 Softbox: https://geni.us/NiceFotoSoftbox Light stand: https://geni.us/WalimexLightstand ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Reference devices: ZMax + Dreamento: https://www.biorxiv.org/content/10.1101/2023.08.18.553744v1 & https://github.com/dreamento/dreamento Polar H10: https://pubmed.ncbi.nlm.nih.gov/31004219/ 🔴 Polar H10: https://geni.us/hnXc Timestamps: 00:00 Introduction to the sleep study and initial results overview 00:30 Winners and losers based on key metrics 04:32 Study setup and participants 06:33 Device accuracy in predicting sleep stage percentages 08:43 The importance of tracking day-to-day sleep variation 14:14 Best devices for most people! 15:57 My normal plots: Average vs. Worst Sensitivity. And final ranking 19:40 Where to find the preprint link and what's next Our sleep study preprint is out 🎉🔥: https://osf.io/preprints/psyarxiv/27wun_v1 Some important notes 📝(!): (1) WHOOP will be rescored with the new algorithm, and the preprint updated once that is done (i.e. WHOOP will likely improve) (2) Google/Fitbit is based on their old algorithm. Unfortunately, they couldn't rescore it. (3) There are still some errors in the text: important, Garmin Vivoactive 6 should (I believe) be Garmin Vivoactive 5 (4) This is a preprint, and it hasn't gone through peer review yet! (5) I am a co-author, and was mostly involved in the setup of the study and data extraction. All the formal analyses and practicals were done by Pavlos and also Laurin (6) My conflicts of interests (affiliate links) still need to be added.
同主題推薦
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:best smartwatch
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。