Researchers have developed a mathematical model to determine the most effective level of ambition for maximizing outcomes across various life scenarios.

研究人員開發了一個數學模型，用以決定在各種生活場景中，能使結果最大化的最有效野心水平。

The research, conducted by Matt Burgess of the University of Wyoming alongside colleagues from Stanford University and the University of Colorado Boulder, utilized a statistical model to analyze how agents interact with reward thresholds. By simulating thousands of scenarios—ranging from employment salary negotiations to residential leasing—the team identified that optimal satisfaction is achieved when an individual's threshold is set above the mean reward, yet remains finite. The data indicates that excessive ambition, characterized by a threshold significantly exceeding the average, results in inferior outcomes compared to a corresponding level of under-ambition.

這項研究由懷俄明大學的 Matt Burgess 與史丹佛大學及科羅拉多波德大學的同事共同完成，他們利用統計模型來分析個體如何與獎勵閾值互動。透過模擬數千個場景——從就職薪資協商到住宅租賃——團隊發現，當個人的閾值設定在平均獎勵之上，但仍保持有限時，才能達到最佳滿意度。數據顯示，過高的野心（特徵為閾值顯著超過平均值）導致的結果比相對程度的缺乏野心更差。

Further analysis revealed that the optimal strategy fluctuates based on the distribution of potential rewards. In environments where negative extremes are more pronounced than positive ones—such as economic frameworks designed to mitigate deep recessions—a higher degree of ambition is recommended to counteract the downward pull of the average. Conversely, in scenarios featuring rare, extreme positive rewards, such as the probability of achieving billionaire status through entrepreneurship, a more moderate threshold is advised. The researchers also noted that distorted perceptions of success, often exacerbated by curated social media representations, can lead to chronic dissatisfaction and the rejection of attainable rewards.

進一步分析顯示，最佳策略會根據潛在獎勵的分佈而波動。在負面極端情況比正面極端情況更顯著的環境中（例如旨在緩解深層經濟衰退的經濟框架），建議採取更高程度的野心，以抵消平均值的向下牽引。相反，在出現罕見、極端正面獎勵的場景中（例如透過創業成為億萬富翁的機率），建議採取較溫和的閾值。研究人員還指出，對成功的扭曲認知（通常由社交媒體精心策劃的呈現所加劇）可能導致長期不滿並拒絕可獲得的獎勵。

External commentary from Peter Ayton of Leeds University Business School and Thomas Hills of the University of Warwick suggests that while the model provides significant theoretical insights, real-world application is complicated by individual risk aversion and 'winner-takes-all' environments. Ayton highlighted the psychological impact of goal-setting, citing evidence that the mere act of establishing a target can enhance performance, independent of the target's specific value.

來自里茲大學商學院的 Peter Ayton 與華威大學的 Thomas Hills 的外部評論指出，雖然該模型提供了顯著的理論見解，但現實應用因個人風險厭惡與「贏家全拿」環境而變得複雜。Ayton 強調了設定目標的心理影響，並引用證據指出，僅僅是設定目標的行為本身就能提升表現，而與目標的具體數值無關。

The study concludes that aiming for a result that is better than average, but not maximal, is the most statistically sound approach to achievement.

研究結論指出，追求一個優於平均但非最大值的結果，是在統計學上最穩健的成就方法。