Data Science Case Study

Global Digital Addiction
Analysis

A predictive study of short-form content consumption, attention erosion, and mental health trajectories across 100 countries from 2015 to 2060.

100 Countries60,100 Observations2015 – 2060Python · scikit-learn · recharts

At a glance

Key Metrics

Computed from 60,100 observations across 3 datasets.

6.22hrs

Avg. Daily Screen Time

Weighted weekday/weekend average

17.9min

Mean Focus Span

Stable across all age groups

0.883

Engagement → Addiction

Pearson r across 100 countries

86.8%

High Addiction Risk

Across 10,000 global projections

Platform battle

Global mean daily minutes · 2015 – 2060 (sampled every 5 years)

TikTokInstagram

Country analysis

Combined TikTok + Instagram daily minutes · Top 5 countries

Key findings

r = +0.883

Engagement Drives Addiction

Strong positive correlation between combined TikTok + Instagram daily exposure and the Addiction Score Index across 100 countries.

~18 min

Universal Focus Floor

Mean focus span stabilizes at 18 minutes across all age groups, from children to seniors — a population-wide cognitive plateau.

r = -0.300

Sleep as Mental Health Bridge

Addiction pressure inversely predicts sleep quality, identifying disrupted sleep as the primary physiological mediator of digital addiction harm.

86.8%

High-Risk Majority

86.8% of 10,000 global observations across 100 countries exhibit a High addiction risk classification.