What if the numbers you trust most are telling only half the story? Mike Chung sits down with Ben Orlando, host of The Midnight Library of Baseball, to explore how baseball’s most beloved stats—wins, RBIs, errors—became powerful myths and why context changes everything. This is a conversation for statheads and story lovers alike, where the romance of the game meets clear-eyed analysis.

We dive into the 1990 Bob Welch paradox: 27 wins and a Cy Young Award, yet teammates and rivals outpaced him on ERA, strikeouts, and complete games. That puzzle opens a bigger question: which metrics actually isolate individual performance, and which are shaped by teammates, ballparks, and managerial choices? From Joe Carter’s RBI surge behind elite on-base talent to Barry Bonds hitting 73 homers with surprisingly modest RBI totals due to empty bases, we expose how batting order and lineup construction warp the box score.

History adds its own twists. The spitball era and Ray Chapman’s tragic death led to cleaner balls and better visibility, boosting offense and safety in one stroke. Ball color experiments—yellow and orange—nearly stuck, while a quiet 1957 innovation, the glove hinge, expanded one-handed range and redefined defense. We also unpack error scoring and how risk-taking can penalize bold fielders while rewarding caution, plus the subtle influence of grounds crews tipping the scales with surface prep.

Beyond the diamond, we connect these lessons to smarter analytics in business and life: understand what a metric truly measures, know the system around it, and slow down enough to look beneath the headline number. If you care about performance, incentives, and how tools shape outcomes, this conversation will give you a sharper lens and a deeper appreciation for the game’s soul.

If this resonates, subscribe, share it with a friend who loves baseball and data, and leave a review to help others find the show. What stat do you trust the least—and why?