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@amante_de_los_autos22: Aerodinámica en un Chevrolet Tahoe Police #tuneldeviento #Aerodinámica #greenlight #chevrolet #funtechlab

Car World 1:64
Car World 1:64
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Region: MX
Tuesday 13 October 2026 01:46:34 GMT
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Comments

jonathan.hernndez8391
Jonathan :D :
día uno siguiéndote y pidiendo al Nissan Skyline gtr r34
2026-10-16 04:15:13
1
tahielpro622
tahielpro622 :
uva
2026-10-18 02:50:21
1
desconocido_88992
🧃AXEL 🧃 :
el delorean pliss
2026-10-13 03:04:31
1
pirri.enano
EMILIO RV :
oye pon un jesco
2026-10-16 18:49:52
1
allyxon06
AIZEN💫 :
el cacahuate le gana
2026-10-18 01:15:50
1
un_random543
pollo_kfc :
ahora con un rally 1 pls
2026-10-17 11:17:34
1
_t_17516
Thiago el pro :
pone la aerodinamica de un pan
2026-10-17 21:24:32
1
nayy_7344
🦔Bra🦦 :
ahora un avión de papel
2026-10-18 20:33:26
1
simiesito_12
que tiene abrahaham🗣️🔥🔥 :
el del rayo macqueen de la primera pelicula
2026-10-17 18:23:44
1
claudiospid_de_temu
kenneth :
dia 1 pidiendo el Koenigsegg jesko
2026-10-23 23:56:34
0
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Watch Jesus right here. Then wait.#HeIsHere #SundayMorning #WatchToTheEnd #CommentAmen
Watch Jesus right here. Then wait.#HeIsHere #SundayMorning #WatchToTheEnd #CommentAmen


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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.
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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hello scratch scratch scratching asmr sound. #asmrsounds #scratchingasmr #cats
I’m only mean to bullies
I’m only mean to bullies

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