1. Home
  2. Detail

@akuangadheng: Thank to my lovely people who wish me on my birthday more love and happiness @Apajok Deng Chol @Aswimming_14✅️ @🥛💕

Akuang Deng
Akuang Deng
Open In TikTok:
Region: UG
Saturday 29 August 2026 11:06:30 GMT
724
196
125
4

Music

Download

No Watermark .mp4 (1.81MB) No Watermark(HD) .mp4 (1.81MB) Watermark .mp4 (4.35MB) Music .mp3

Comments

abuk_wonder
Wonder bae 🦋🤍💫 :
beautiful sister
2026-09-04 17:46:38
0
mrsdiing
⋆ 🎀 𝐵𝓊𝒷𝓊 🎀 :
❤️❤️❤️
2026-08-29 16:15:48
0
maanakuei2
Blessing🔐💖🌹🌹 :
❤️❤️❤️
2026-08-29 15:11:52
0
amoujayjay
Queen🦋🕊️JayJay😍 :
💕💕💕💕💕
2026-08-29 16:19:58
0
aluelweng02
aluelweng02 :
🥰🥰🥰
2026-08-29 12:18:46
0
akuotakuei
Nyanakuei :
💓💓💓
2026-08-29 11:34:05
0
adengo38
adengo :
🥰🥰🥰
2026-08-29 14:53:46
0
dnia.yar
Dániça Yar :
🥰🥰🥰
2026-08-29 17:58:21
0
abitawan5
Abit-awan :
🥰🥰🥰🥰
2026-08-29 17:00:32
0
achiengkuer
🦋Mary🦋 :
🥰🥰🥰
2026-08-29 15:02:10
0
monicah.nyansulta
Monicah Nyansultan :
🥰🥰🥰
2026-08-29 13:12:14
0
rachel.mayen.malu
Rachel Mayen Maluk :
🥰🥰🥰🥰🥰🥰
2026-08-29 11:52:07
0
usermonica2528811620487
Monicana :
❤️❤️❤️
2026-08-29 11:35:42
0
arueiraja2
arueiraja :
🥰🥰🥰
2026-08-30 19:25:16
0
yargrace4
Yar Manyiel :
🥰🥰🥰
2026-08-29 13:54:46
0
user908609024090
awal bul dut :
🥰🥰🥰
2026-08-29 19:26:26
0
mrs_jongo
Apajay💚🦋 :
❤️❤️❤️
2026-08-29 19:16:39
0
apajok.duot.pagee
Apajok Duot Pageer :
🥰🥰🥰🥰🥰
2026-08-29 17:48:56
0
boladequeen101
Bola🦋de queen101👑🇸🇸🇨🇦 :
🥰🥰🥰🥰
2026-08-29 17:30:23
0
tabby.achol6
Tabby Achol :
❤️❤️❤️❤️
2026-08-29 11:56:15
0
tabbydut
tabbydut :
❤️❤️❤️
2026-08-30 11:18:08
0
makurraan
makur-raan @ :
🥰🥰🥰
2026-08-30 14:32:57
0
queen.eliza124
Queen Eliza :
🥰🥰🥰
2026-09-01 11:13:17
0
makurraan
makur-raan @ :
🥰🥰🥰🥰
2026-08-30 14:33:05
0
akuangadheng
Akuang Deng :
❤️❤️❤️❤️❤️❤️
2026-08-29 11:07:46
0
To see more videos from user @akuangadheng, please go to the Tikwm homepage.

Other Videos

i could actually drink this🍨🍂☕️🍪 #cookies #chocomusk #perfume #vanilla #chocolateperfume
i could actually drink this🍨🍂☕️🍪 #cookies #chocomusk #perfume #vanilla #chocolateperfume
Many things - Zinoleesky lyrics💥🎶💯❤️ #zinoleesky #manythings #Lyrics #fypシ #worldlyrics #xyzabc #Trending
Many things - Zinoleesky lyrics💥🎶💯❤️ #zinoleesky #manythings #Lyrics #fypシ #worldlyrics #xyzabc #Trending
#MLBB10TH #ALLINMLBB
#MLBB10TH #ALLINMLBB
@SIRAJE ISLAMICTV7✅️
@SIRAJE ISLAMICTV7✅️
My daily whip 😮‍💨
My daily whip 😮‍💨
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.
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.

About

Legal