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@bondook_hany: #foryou #foryoupage #viral
𝐄𝐧𝐠-𝐀𝐝𝐚𝐦 𝐇𝐚𝐧𝐲👷🏼⚙️
Open In TikTok:
Region: EG
Thursday 27 November 2025 12:29:25 GMT
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Music .mp3
Comments
Rewan Erfan :
سكرر❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
2025-12-10 22:08:42
2
_ahmed_alaa16 :
🥰🥰🥰🥰
2025-12-02 09:23:13
2
HOZAYFA🏅 :
❤️❤️❤️
2025-11-28 01:59:38
1
𝓗𝓪𝔃𝓮𝓶🐺 :
ولا يولا♥️
2025-12-09 05:13:18
1
𝕒𝕙𝕞𝕖𝕕 :
❤❤❤
2025-12-06 22:00:08
1
Youssef Abdella :
😍😍😍
2025-12-06 13:40:43
1
mazen🤴 :
🤩🤩🤩🤩
2025-12-04 17:42:59
1
𝐒𝐄𝟑𝐃𝐀 :
😍😍😍😍
2025-12-04 16:07:30
1
Yousef elmasry :
❤️❤️❤️❤️❤️❤️
2025-12-03 17:14:21
1
ELJoo🐉🔥 :
اديلو 😂❤️
2025-12-03 14:09:35
1
ELJoo🐉🔥 :
ربنا يخليكوا لي بعض ياروح قلبي♥️♥️♥️
2025-12-03 14:09:14
1
yassen_elneanaey1 :
3almyy bardo enta❤🔥🔥
2025-12-01 10:09:37
1
amar ahmed :
❤️❤️❤️❤️
2025-11-30 03:06:05
1
EL KOT 🐈⬛🥷🏻🖤 :
❤️❤️❤️😍
2025-11-28 14:53:05
1
النُـوِيِـــهـِـي 🧑🏻⚕️ :
ربنا يخليكو لبعض يحبيبي 😍😍😍❤️
2025-11-28 13:09:46
1
𝒲ℰ𝒵𝒜𝒜💨 :
😍😍😍😍
2025-11-28 08:44:47
1
Sayedd :
😍😍😍😍😍😍
2025-11-27 12:37:08
1
كيوي 🥝💚 :
♥️♥️♥️
2025-11-27 23:28:25
1
Moamen_ Abdo :
❤❤❤
2025-11-27 20:28:47
1
SAYED51111 :
يماما😂😂😂😂
2025-11-27 19:54:16
1
SAYED51111 :
ربنا يخليكو لبعض يروحي وولعهالك باذن الله 😂❤❤
2025-11-27 19:54:10
1
موكشا 👊🪬 :
🥰😘❤️
2025-11-27 17:44:20
1
ادهم :
😍😍😍😍
2025-11-27 17:30:59
1
HASABO :
🥰🥰🥰
2025-11-27 17:13:06
1
AMORY :
اعطيلو اعطي 😂❤️❤️❤️
2025-11-27 14:55:29
1
To see more videos from user @bondook_hany, please go to the Tikwm homepage.
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Female data isn't noisy. Researchers were just measuring it wrong. In this conversation, Dr. Jennifer Garrison breaks down a fundamental flaw in how female biology has been studied — and why it's been hiding in plain sight. For years, researchers have used chronological age to organize and interpret data from female subjects. The problem? Chronological age doesn't account for the enormous variability that exists between women. When you use age of natural menopause as the reference point instead, something remarkable happens. The noise disappears. Sharp, clear biological signatures emerge from data that was previously dismissed as too variable to be useful. And here's what makes this even more striking: researchers were able to go back into large-scale historical datasets that already existed — datasets that weren't originally designed to capture this information — and clean them up simply by changing how the data was organized. The data was never the problem. The framework was. Tune into the full conversation, out on all major streaming platforms.
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