  We prove the Central Limit Theorem (CLT) from the definition of weak
convergence using the Haar wavelet basis, calculus, and elementary probability.
The use of the Haar basis pinpoints the role of $L^{2}([0,1])$ in the CLT as
well as the assumption of finite variance. We estimate the rate of convergence
and prove strong convergence away from the tails.
