Some algorithms can make assumptions that ignore important context and factors, like using only earnings performance to evaluate executives without considering their impact on employees' morale, loyalty, focus, and stress levels, which could provide a false indication of who is the best boss. Managers need algorithms that take into account broader contextual factors for more accurate and useful evaluations.