🧙‍♂️DataWhizard🌎[English]

😢《Breakup Audit by Data⑤》💔 Before the First Drink, Check Your Breakup Logs

🧙‍♂️Data Whizard🧙‍♂️데이터 지식 마법사 2025. 5. 18. 03:00
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Man grieving after a breakup: Painting of a sorrowful man leaning on a table with a bottle and glass of alcohol

🧾 The Real Reason You’re Drinking After a Breakup: It’s You

💔 Post-Breakup Drinking? Let’s Crunch the Numbers

 

Hello, I’m 🧙‍♂️ The Data Whizard®. Emotions go in, statistics come out. Tonight’s brew: “Why have you been drinking so much lately?”
“...Because of you.” We tested whether breakups and stress actually increase drinking frequency using panel FE regression.


1️⃣ What Did We Analyze?

We dove into the Youth Panel Survey (YP) and whipped up a panel‐FE regression stew:

xtreg alcohol_freq breakup stress, fe

• 🍷 alcohol_freq: weekly drinking frequency (DV)
• 💔 breakup: recent breakup (1 = yep, they just got dumped)
• 😵 stress: self-rated stress (0–10; “don’t talk to me before coffee” level)

Think of it as mixing breakup tears and stress sweat into your Friday night pour—then seeing how often you lift that glass! 🍻


2️⃣ The Results

Breakup coeff: 0.87 (p<0.01)
Stress coeff: 0.32 (p<0.05)
Breakups add 0.87 more drinks per week, and higher stress drives up drinking too. Your “just one drink” hides statistical traces of heartbreak.

English
KDE and histogram of weekly alcohol drinking frequency showing higher and broader distribution for individuals after breakup (red) versus no breakup (blue), highlighting increased drinking post-heartbreak.

한국어 (Korean)
주간 음주 빈도 KDE 및 히스토그램: 이별 후 그룹(빨강)이 이별 전 그룹(파랑)보다 더 자주, 더 폭넓게 술을 마시는 분포를 보여 줍니다.

简体中文 (Chinese – Simplified)
每周饮酒频率的 KDE 和直方图:分手后群体(红色)的饮酒频率分布更高更宽,明显超过未分手群体(蓝色)。

日本語 (Japanese)
週あたり飲酒頻度のKDEとヒストグラム:破局後のグループ(赤)は破局前のグループ(青)よりも頻度が高く、分布が広がっていることを示します。

Tiếng Việt (Vietnamese)
Phân bố KDE và biểu đồ tần suất uống rượu theo tuần: nhóm sau chia tay (đỏ) có tần suất uống cao hơn và phân bố rộng hơn so với nhóm chưa chia tay (xanh).

Español (Spanish)
KDE e histograma de frecuencia semanal de consumo de alcohol: el grupo post-ruptura (rojo) presenta una distribución más alta y amplia que el grupo sin ruptura (azul).

Français (French)
Densité KDE et histogramme de la fréquence hebdomadaire de consommation d’alcool : le groupe post-rupture (rouge) montre une distribution plus élevée et plus étendue que le groupe sans rupture (bleu).
KDE and histogram of weekly alcohol drinking frequency showing higher and broader distribution for individuals after breakup (red) versus no breakup (blue), highlighting increased drinking post-heartbreak.

KDE plot showing higher drinking frequency distribution for post-breakup group versus control

3️⃣ Kid-Friendly Explanation

• People who break up drink more out of sadness.
• More stress means more trips to the bar.
👉 Next time a friend reaches for another drink, ask them, “What’s really going on?”


4️⃣ Data Summary

Control group: peak at ~1–1.5 drinks/week
Post-breakup: broader distribution, many >2 drinks/week
Breakup survivors: more frequent and varied drinking—statistical proof of emotional coping patterns.


5️⃣ Closing Quote ✨

🍷 “Alcohol didn’t make me forget her— it just helped me survive the nights I wanted to forget.”
— Charles Bukowski

🍷 Understand your drinking—statistically and emotionally.

🧠 Enjoyed this dive into data? Subscribe! Like! Comment! Thank you! 🙏

 

🧙‍♂️ The Data Whizard®
Master of crunching every byte of data roaming this planet | Ph.D. in Economics
📧 the.datawhizard@gmail.com
🧙 The Data Whizard®
✨ Master of crunching every byte of data roaming this planet
✨ The Data Whizard | Your Data-Dishing Sorcerer
✨ Ph.D. in Economics | Doctor of Data Economics
✨ Big Data Champion, IT Applications Society
 • 3x Grand Slam Winner: Grand Prize | Best Paper | Excellence Award
✨ Editorial Board Director, Journal of Informs and Technology
✨ KCI Researcher, Data Analysis Division
 • 18 consecutive publications in top journals over the last 4 years
✨ Head Alchemist, “Data Made Delicious” Research Lab
✨ The “h” in Whizard stands for high-quality blog—only true sorcerers bear it!
📊 Data Analysis | Collaboration | Service
📧 Contact: the.datawhizard@gmail.com

출처: https://myblog7295.tistory.com/entry/😢《Breakup-Audit-by-Data④》🧾-Wallet-Bare-Couples-Last-Longer-Stats-Expose-the-Truth [🧙‍♂️데이터 블렌딩 마법사🧙‍♂️The Data Whizard:티스토리]

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