Harvard's Judgment Professor: Why Numbers Don't Make Decisions, People Do

在一场发人深省的讨论中，连环创业家、投资者兼哈佛商学院（Harvard Business School）高级讲师Reza Sachu阐述了为什么判断力，而非单纯的数字，是投资者最被忽视但也最为关键的资产，尤其是在人工智能时代。Sachu曾创立六家公司，总退出价值达数十亿美元，他在HBS（哈佛商学院）教授“The Founder Mindset”和“Founder Launch”等热门课程，强调以人为本的元素，而非纯粹的定量分析。 Sachu认为，尽管投资者会仔细研读财务报表——损益表、资产负债表、现金流趋势——但这些数字最终并不能做出决策；是人做出决策。他提出，投资者往往没有投入足够的时间来评估那些掌舵公司的个人的判断力。他在哈佛的教学理念也反映了这一信念：他专注于培养学生强大的“mindset”（思维模式），坚信提升一个人的判断力，比仅仅审视具体风险更能显著提高成功的可能性。 他将判断力定义为一种无法被动观察或学习的特质。相反，它必须通过积极的实践来培养：做决策、拥抱风险，并仔细权衡后果。Sachu指出，人类普遍存在一种倾向，即“极大地高估其不利之处”而“低估其有利之处”，这导致了行动瘫痪。他的个人座右铭——“有疑虑，就行动”——鼓励积极主动的决策，即使这意味着有意识地选择保持现状，而不是在不确定性面前僵住。他将判断力比作二头肌，称“你锻炼得越多，它就越大”，强调需要不断寻求不适，并勇敢进入不确定的境地。 与认为判断力是与生俱来的特质的观点相反，Sachu坚定地认为它是可以学习的。凭借24年教导数千名学生的经验，他相信“人们可以选择学习它”。在当今的教育格局中，人工智能可以复制记忆和传统讲座，真正的“学习是做出那些你需要负责的、具有重大影响的决策。”这些正是个人校准风险并学会信任自己判断力的时刻。 人工智能日益普及，进一步提升了人类判断力的重要性。Sachu解释说，虽然“数据变得越来越商品化”，人工智能可以处理大量信息，但“区别在于如何利用这些数据并弄清楚你将用它做什么”。在一个原始智力能力和数据分析都被商品化的世界里，正是通过判断力对数据进行解读和应用，才能提供“边际差异化”并驱动卓越表现。他观察到判断力不是线性的，而是“指数级的”，他引用了Mark Zuckerberg（马克·扎克伯格）这样的人物，其累积的决策迅速磨练了他的判断力，使他能够在年轻时管理一个庞大的企业。 Sachu分享了一个引人入胜的个人轶事，阐释了校准判断力的力量。在他名下的Aligned Vest学生公寓业务的一笔数十亿美元交易中，他曾在最初的11亿美元收购要约面前毅然放弃，尽管当时普遍建议他接受。他最终以17亿美元的价格出售了该公司。他解释说，他的决定源于他作为控股股东的独特地位，掌握着其他人所缺乏的关键信息。他认识到“校准”后的风险：下行空间有限（该业务仍然至少价值10亿美元），而坚持下去的上行空间则相当可观。他还强调，他更倾向于以“创始人模式”直接管理此类交易，避免了投资银行家可能带来的利益冲突。 当谈到评估判断力，尤其是领导者的判断力时，Sachu承认这很具挑战性，因为“没有哪个Excel表格能给你答案”。这最终涉及“你用自己的判断力去判断别人的判断力”。他强调，良好判断力最明显的指标出现在“危机时期”，而危机对于任何领导者来说都是不可避免的。他关注个人在面对意想不到、未经排练的挑战时如何表现——无论他们是失去了一个大客户、一名关键员工，还是面临丑闻。他断言，真正的领导力在这些时刻展现出来，不仅通过捍卫企业，还通过战略性地重新定位组织以变得更强大，并利用危机中的机遇。

In a thought-provoking discussion, serial entrepreneur, investor, and Harvard Business School senior lecturer Reza Sachu elaborated on why judgment, rather than mere numbers, is the most overlooked and crucial asset for investors, especially in the age of AI. Sachu, who has built six companies with billions in exits, teaches popular HBS courses like "The Founder Mindset" and "Founder Launch," emphasizing the human element over purely quantitative analysis. Sachu argues that while investors meticulously pore over financial statements—income statements, balance sheets, cash flow trends—these numbers, ultimately, do not make decisions; people do. He posits that investors often dedicate insufficient time to evaluating the judgment of the individuals steering these companies. His teaching philosophy at Harvard reflects this belief: he focuses on cultivating a strong "mindset" in his students, convinced that improving one's judgment significantly enhances the probability of success more than just scrutinizing venture specifics. He defines judgment as a characteristic that cannot be observed or learned passively. Instead, it must be developed through active exercise: making decisions, embracing risk, and carefully considering the consequences. Sachu notes a common human tendency to "massively overestimate their downsides" and "underestimate the upside," leading to paralysis. His personal mantra, "If in doubt, act," encourages proactive decision-making, even if it means consciously choosing the status quo, rather than freezing under uncertainty. He likens judgment to a bicep, stating, "the more you exercise it, the bigger it gets," emphasizing the need to constantly seek discomfort and push into situations of uncertainty. Contrary to the belief that judgment is an innate trait, Sachu firmly asserts that it is learnable. Drawing from 24 years of teaching thousands of students, he believes that "people can choose to learn it." In today's educational landscape, where AI can replicate memorization and traditional lectures, true "learning today is making consequential decisions that you are accountable for." These are the moments where individuals calibrate risk and learn to trust their own judgment. The increasing prevalence of AI further elevates the importance of human judgment. Sachu explains that while "data is becoming more and more commoditized" and AI can process vast amounts of information, "the differentiation is in taking that data and figuring out what are you going to do with it." In a world where raw intellectual horsepower and data analysis are commoditized, it is the interpretation and application of that data through judgment that provides a "marginal differentiation" and drives outperformance. He observes that judgment is not linear but "exponential," citing figures like Mark Zuckerberg, whose cumulative decisions rapidly refined his judgment, allowing him to manage a colossal enterprise at a young age. Sachu offered a compelling personal anecdote illustrating the power of calibrated judgment. In a multi-billion dollar deal for his Aligned Vest student housing business, he famously walked away from an initial $1.1 billion buyout offer, despite widespread advice to accept it. He eventually sold the company for $1.7 billion. He explained his decision stemmed from his unique position as the controlling shareholder, possessing critical information that others lacked. He recognized the "calibrated" risk: the downside was limited (the business was still worth at least a billion), while the upside for holding out was substantial. He also highlighted his preference to manage such deals directly, operating in "founder mode" without the potential conflicts of interest posed by investment bankers. When it comes to evaluating judgment, particularly in leaders, Sachu admits it's challenging because there's "no Excel spreadsheet that's going to give you the answer." It ultimately involves "your own judgment on someone else's judgment." He emphasizes that the most telling indicator of good judgment emerges "in times of crisis," which are inevitable for any leader. He looks for how individuals behave when confronted with unexpected, unscripted challenges—whether they lost a major customer, a key employee, or faced a scandal. True leadership, he asserts, reveals itself in these moments, not only through defending the enterprise but also by strategically repositioning the organization to emerge stronger, leveraging opportunities within the crisis.