@aryotourjogja: Malioboro Jogja dan kenangannya 💃🤩🌟 . ➡️ Open Private Trip Wisata Jogja #jakarta #jogja #kalimantan #sulawesi #bali

Aryo_TourJogja

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Sunday 20 September 2026 15:09:28 GMT

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GNG TRUST PRO :

ah . Jogja? jadi kelingan BOLOSEGO...ih.. serem....

2026-09-21 12:55:07

4

CICAK VS BUAYA || 1.3.1.2 :

kota beribu punglinya🗿

2026-09-21 12:49:14

2

Yuliana Devin :

pengen bgt ke Jogya,solo 🥰🥰🥰

2026-09-21 02:07:15

5

a_wiyoto :

Buyutku Abdi Dalem dulu tinggal di Kedung Galeh Lor Sedayu.Sebelum merdeka Embah 5 bersaudara ke Sumatera Selatan kerja di Kereta Api ,DKA lalu Pakde kerja di PNKA (balai yasa Lahat),Paklek di PNKA Tanjung Enim.Tahun 1982 -1987 saya kuliah di YOGYAKARTA, 2 tahun kasih les di SMP Stela Duce ,Dagen.Maka kalau lihat Malioboro kangen,Yogya ngangeni tenan.

2026-09-21 01:39:41

2

HANUM :

masya alloh kepinginke jogja

2026-09-21 03:00:13

1

Ibu Sumiyati :

Lagu faforit👍👍👍😁😁😁😁

2026-09-21 02:16:31

2

Ika Febriyanti 🍓 :

Ya allah udah kangen banget pulang kampung ku🥺

2026-09-21 04:38:42

0

ꃳꋬꌦꄲ꒒꒤ꃳ꒐ꇙꇙ :

jd pngen kesana lgi😣

2026-09-20 17:33:54

1

TRI Ambaryanti :

suasana beginilah yg selalu menjadi kebanggaanku sebagai warga yogya tempat kelahiranku..walaupun aku sdh ber pindah2 mengikuti orang tua dan suami alm bertugas..akhirnya kembali ke kota ini ..Yogyakarta mmg Istimewa indahmu dan nyamanku berada disini👍👍🥰🥰❤️❤️

2026-09-21 01:43:27

1

star :

bener Jogja selalu punya kenangan tersendiri dihati 😁

2026-09-21 03:04:34

1

Hayuuu :

Saya bukan orang Jogja tapi setiap tahun pasti ke Jogja bahkan bisa sampai 2X dlm 1 tahun,memang Jogja itu bikin kangeeen

2026-09-21 12:44:01

0

LIBRA⚖️ :

uda trlalu sering ke jovja tp kok rindu maliaboro ya, nginep di hotel kapsul bareng besty2 ku

2026-09-20 18:26:15

0

neckermen4 :

Jogja pancen istimewa

2026-09-21 12:43:50

0

KrlAws :

kangen bojoku

2026-09-21 11:53:44

0

nustaritari2 :

Jogja memang ngangeni🙏❤️

2026-09-21 12:31:32

0

Wiwik Mut :

udh persiapan mau k sn ternyata suami sakit da berpulng😥

2026-09-21 10:37:27

0

Carlina Fridayanti :

ingat kenangan semasa kuliah di Yogya dl ... rasanya g bosan2 utk dtg lg ke Yogya yg selalu ngangeni utk trs dikunjungi ... 👍👍👍🥰😍🤩🤩🥰🥰

2026-09-21 08:42:31

0

Bundaliann :

banyak kenangan di Jogja 🥰

2026-09-21 02:15:51

0

Kuntru Bandskywotway :

love djogja 🥰🙏

2026-09-21 03:16:32

0

agita :

ingat kamu kalo di sini😅

2026-09-21 05:47:59

0

edison1977 :

aku kejgj wisuda anak ku 2022..kangen yoo kejgj lg

2026-09-21 06:43:16

0

Endri Riastuti :

klau aku justru kasian melihat kudanya, berdiri ber jam2 pasti capek haus dan lapar

2026-09-21 15:36:49

0

Abimanyu123 :

Alhamdulillah habis mudik 🤲🤲🤲

2026-09-21 11:06:52

0

epdkkrkdkek :

kota bagus tapi punglinya tolong di tiadakan pak

2026-09-21 14:38:38

1

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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.

سەر کەچەر😂💔#foryou #ppppppppppppppppppppppp

سەر کەچەر😂💔#foryou #ppppppppppppppppppppppp

Chân gà sốt thái rút xương #changarutxuongsotthai #changarutxuong

Chân gà sốt thái rút xương #changarutxuongsotthai #changarutxuong

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