  The probability that the sum of independent, centered, identically
distributed, heavy-tailed random variables achieves a very large value is
asymptotically equal to the probability that there exists a single summand
equalling that value. We quantify the error in this approximation. We
furthermore characterise of the law of the individual summands, conditioned on
the sum being large.
