Imagine building a grand clock tower in the middle of a city. Every cog, spring and pendulum works together to keep time perfectly. Now imagine that the tower is slightly tilted at its foundation,just a few millimetres. At first, the tilt seems harmless. But as the gears rotate, even a minor imbalance multiplies into significant errors. In many ways, this is how Machine Learning behaves. A small skew in data or model design can tilt outcomes at scale, affecting thousands or even millions of people.
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