@yeimarialiciapere: Amooo demasiado este perfume 💗

Alicia

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Region: US

Monday 03 August 2026 18:01:52 GMT

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Comments

Yesi Cr :

Yo encargaré y ya veré

2026-08-19 11:31:29

1

Olguita María🐠🐠🐠🐠🐠 :

Igual me pedí dos más para que no se me agote se wue cuando lo prueben van a penar en mi comentario en verdad lo recomiendo al 100

2026-08-10 01:17:03

0

Yaris :

Ya lo pedí cuando me llegue te dejo saber 😁

2026-08-14 16:30:46

1

Celene A Pinon :

Ok yo lo pedí… a ver que tal

2026-08-15 22:23:26

1

Elva Gonzalez Orquiz :

Yo lo compré y no dura la aroma Talbes una hora y después nada

2026-10-06 16:33:14

0

Gaby Ríos ✨| Content Creator :

Y si dura el olor ?

2026-10-05 02:44:58

1

Yissy :

Es dulce ?

2026-10-07 19:01:11

1

✨🍒POCAHONTA🍒✨ :

Jamassssss huele igual

2026-09-09 22:27:26

0

Alicia :

Tinenen que probarlo 😍es idéntico

2026-08-07 06:36:32

0

Aylén Baljacoba :

Yo lo pedí ,espero que esté bien rico ❤️

2026-08-11 16:07:27

1

ERNES :

yo lo pedí y el olor no dura ni 1 min

2026-10-16 12:42:53

0

Héctor :

Es súper rico me encanta ya me he pedido 2

2026-08-11 16:09:57

1

Paloma :

2026-09-01 21:36:05

0

Anyela :

Tengo k pedirlo 🥰

2026-08-11 05:58:08

1

Olguita María🐠🐠🐠🐠🐠 :

Si no ves la botella no tienes la diferencia son iguales 🥰

2026-08-10 01:17:54

1

Olguita María🐠🐠🐠🐠🐠 :

Dios mío tienen que tenerlo para creerlo yo tengo el original que me lo regalaron por mi cumple pero esto es exactamente

2026-08-10 01:14:34

1

Yaris :

Está rico?

2026-08-06 17:46:56

1

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Dica de restaurante nos EUA que vale MUITO a pena! 🤎 Hoje fomos de Family Pack do Texas Roadhouse, e nossa escolha foi Beef Tips com purê de batata e milho. A salada já vem inclusa e, claro, não pode faltar o famoso pãozinho com aquela manteiga de canela DELICIOSA! 🥖🤤 Além de ser uma delícia, o preço é super em conta pela quantidade de comida! Se você mora aqui ou está vindo passear nos EUA e ainda não conhece, não deixe de colocar o Texas Roadhouse na lista! ✨ @Texas Roadhouse #food #vegasfood #foodtiktok #texasroadhouse

Dica de restaurante nos EUA que vale MUITO a pena! 🤎 Hoje fomos de Family Pack do Texas Roadhouse, e nossa escolha foi Beef Tips com purê de batata e milho. A salada já vem inclusa e, claro, não pode faltar o famoso pãozinho com aquela manteiga de canela DELICIOSA! 🥖🤤 Além de ser uma delícia, o preço é super em conta pela quantidade de comida! Se você mora aqui ou está vindo passear nos EUA e ainda não conhece, não deixe de colocar o Texas Roadhouse na lista! ✨ @Texas Roadhouse #food #vegasfood #foodtiktok #texasroadhouse

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訳ありメンマ500g、開けて笑いました😂 極太すぎてコンビニのやつと別物。訳ありの理由は「形が不揃い」なだけです。部位によって歯ごたえが全然違って、コリコリのも柔らかいのもある。辛くないので誰でも食べられます。この量で1,000円・送料無料は反則でした🍜 #メンマ #訳あり #極太メンマ #おつまみ #家飲み #晩酌 #ラーメンのお供 #中華惣菜 #お取り寄せグルメ #コスパ #業務用 #ビールのお供

訳ありメンマ500g、開けて笑いました😂 極太すぎてコンビニのやつと別物。訳ありの理由は「形が不揃い」なだけです。部位によって歯ごたえが全然違って、コリコリのも柔らかいのもある。辛くないので誰でも食べられます。この量で1,000円・送料無料は反則でした🍜 #メンマ #訳あり #極太メンマ #おつまみ #家飲み #晩酌 #ラーメンのお供 #中華惣菜 #お取り寄せグルメ #コスパ #業務用 #ビールのお供

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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