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There are significant issues with floats. To start with, float precision varies based on the number considered. The typical distance between consecutive two large floats is much larger than the typical distance between two floats close to 0. This can lead to surprising behavior.
And importantly, floats can't accurately represent base 10 numbers used for large quantities, like money. A 10e10 float is actually smaller than 10e10, for instance. Even 0.7 float is actually smaller than 0.7.
This means floats lead to weird numerical discrepancies that accumulate as you add more operations. Only use floats if you want to run large computation with approximate numbers -- scientific computing, basically.
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