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Today's headlines and in-depth analysis from around the world.
Interpol's new report reveals $442 billion in global financial fraud losses in 2025, driven by AI-powered scams. The same week, Google, Meta, Amazon and OpenAI signed a voluntary anti-scam accord with no enforcement. Here's what that gap looks like from around the world.
The US calls it precision regime change. Iran counts 1,348 dead civilians and 168 schoolgirls. Same conflict, two irreconcilable realities — and most of the world isn't even watching.
Trump and Netanyahu launched 400+ strike waves promising regime change. Israeli security sources now admit it was 'wishful thinking' with no realistic plan for what comes after the bombing.
Germany, UK, Japan, Australia and Spain all rejected Trump's demand for warships in the Strait of Hormuz. The US called it a loyalty test. Europe called it not NATO's war.
Same evidence. Same video. Same war. Two completely different conclusions about whether Israel's prime minister is alive.
March 16 PGI hits 5.8 — regions agree on what happened but see completely different wars. The gap isn't in the facts anymore. It's in who caused them.
The SAVE America Act heads to the Senate this week with strict voter ID and proof-of-citizenship rules. Supporters call it common sense. Researchers say 21 million Americans lack the required documents — and Republican voters may be hit hardest.
WFP food stocks in Sudan deplete by end of March 2026. 21 million face acute hunger in the world's largest food crisis — invisible to most regions.
UK food experts warn cyber attack, extreme weather, or shipping disruption could trigger panic buying and social unrest in a system already stretched to breaking point.
America's budget cuts just pulled the plug on tools helping activists in Iran, China, and Russia bypass censorship. Who fills the void now?
US economy shed 92,000 jobs in February 2026 — first drop since COVID. Only American media covered it. The world's largest economy is flashing recession signals invisible to 5.87 billion people.
YouTube's deepfake flagging tool can't stop what it can't see — and the detection systems themselves are creating more confusion than clarity.
