{'fraction_non_alphanumeric': 0.016726403823178016, 'fraction_numerical': 0.0, 'mean_word_length': 5.546875, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Book Review: Stochastic Modeling: Theory and Reality from an Actuarial Per-

For decades, actuaries have historically used statistical and financial models that were inherently considered deterministic in the sense that random fluctuations are often ignored, although some type of sensitivity of the parameter and model assumptions have been employed to have a sense of the possible variation in the results. Today, such sensitivity analysis is unacceptably appropriate when reality is becoming more complex with increasing uncertainty. There is an undeniable need for risk analysis, the primary task of an actuary, to better reflect reality by adopting stochastic modeling. With today’s availability and convenience of advanced computing architecture, there is no excuse for actuaries in practice to avoid the use of stochastic methods.