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Who really rules the sun in 2026? ☀️ I’ve ranked the TOP 30 countries by solar power capacity. The results are shocking: tech giants vs. desert nations. Who’s leading the race? Watch the video to find out! 👇
#energy #solar #top30 #renewables #worlddata

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The $117 Trillion World Economy in One Giant Visualization We show the largest economies globally, highlighting how India could soon surpass Japan given rapid GDP growth.

“India ranks in fifth, averaging 6.4% in real GDP growth since 2000.
America’s $30.6 trillion economy is greater than China, Germany, and Japan combined, with real GDP set to rise 2% this year.” #WorldData

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The Biggest Drop in Human Suffering
#GlobalPoverty #GoodNews #Progress #WorldData

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"The Mother Of All Breaches!" | 16 Billion Facebook, Apple And Google Passwords Exposed
"The Mother Of All Breaches!" | 16 Billion Facebook, Apple And Google Passwords Exposed YouTube video by TalkTV

#DataBreach #WorldData #Hacked #pwned #haveIbeenhacked #didIgethacked

A planetwide data hack occurred yesterday.
www.youtube.com/watch?v=rQRm...

Check your data: haveibeenpwned.com

My advice, change your passwords. Make new ones here: www.security.org/how-secure-i...

You're Welcome x👄x

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Is there a simple explanation to "The Birthday Problem"? The Birthday Problem asks: how many people need to be in a room for there to be at least a 50% chance that two share the same birthday? Assuming 365 possible birthdays (ignoring leap years) and random, uniform distribution, the answer is surprisingly just 23 people. Here’s why: Instead of calculating the probability that two people have the same birthday, it’s easier to calculate the probability that *all* have *different* birthdays and subtract from 1. For 23 people: - Person 1 has any birthday (365/365). - Person 2 has a different birthday (364/365). - Person 3 has another different birthday (363/365). - And so on, down to person 23 (343/365). Multiply these: (365/365) × (364/365) × ... × (343/365) ≈ 0.4927. So, the probability all 23 have different birthdays is about 49.27%. Thus, the probability at least two share a birthday is 1 − 0.4927 ≈ 50.73%, just over 50%. This counterintuitive result shows how quickly the probability rises with more people, due to the many possible pairs (253 pairs for 23 people).

The Birthday Problem... #Maths #Statistics #Grok #Grok3 #AI #WorldData x.com/i/grok/share...

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