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Source document· June 29, 2026

Prediction Markets Emerge in Japan, With Shopping Vouchers

View original at finance.yahoo.com
Prediction Markets Emerge in Japan, With Shopping Vouchers (Bloomberg) -- Even as prediction platforms like Polymarket and Kalshi surged into the global mainstream in recent years, Japan — like its Asian neighbors China and South Korea — remained a no-go zone due to strict anti-gambling regulations…
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  • Miraima has amassed close to 1 million monthly users since its debut in November, helped by interest in recent sporting events like the World Cup

    60% confidence
  • He compulsively opens the prediction apps whenever he has a spare moment or when there is news that might move the odds

    60% confidence
  • Miraima is seven months old and is Japan's largest prediction market platform, spearheaded by Gen Z entrepreneurs

    60% confidence
  • Japan, like China and South Korea, remained a no-go zone for prediction platforms due to strict anti-gambling regulations, but new startups are finding ways to skirt the rules

    60% confidence
  • Japan's pachinko industry is worth approximately $100 billion and employs an indirect payout system that prediction market apps emulate as a legal workaround

    60% confidence
  • Japan's nascent prediction market platforms are closely modeled on Polymarket and Kalshi in that they enable users to bet on outcomes of live events, but unlike those platforms no money changes hands — the entire system is built on non-monetary virtual tokens

    60% confidence
  • Prediction market apps are addictive; he has earned more than 10,000 yen a month in points on Miraima and similar apps

    60% confidence
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High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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