Code reviews, often seen as a critical quality control measure in software engineering, frequently fail to catch significant bugs, leading to costly incidents. A notable example involved a bug that slipped through a thorough review, resulting in a $2.1 million loss when a payment processing system crashed due to a mismatch in expected input fields. Despite spending 4.2 hours on a pull request with 47 comments from senior engineers, the review caught only minor issues, while the logic error that caused the failure went unnoticed. The economics of code review reveal a staggering annual investment. For an 80-person engineering team, the cost of code reviews can exceed $3.5 million, yet only about 15% of comments identify potential defects. Research indicates that most review feedback focuses on style and formatting rather than functional issues. A 2024 study showed that up to 75% of comments are related to maintainability rather than actual bugs. This means companies are wasting significant resources on activities that could be automated, such as linting and static analysis, instead of effectively preventing defects. Several factors contribute to the ineffectiveness of code reviews. Reviewers often face pressures to approve quickly, leading to superficial examinations of code. Research shows that effectiveness drops sharply when reviewers scan more than 500 lines of code per hour. The delays in getting feedback can also disrupt a developer's workflow, making it harder to recall the context of their changes. Moreover, reliance on senior engineers for reviews can create bottlenecks, as seen in a fintech startup where one engineer's absence led to a dramatic drop in productivity. Finally, a healthcare technology company's internal analysis revealed that most incidents stemmed from issues unrelated to code review, such as deployment errors or infrastructure failures. This raises questions about the value of traditional code review processes and suggests a need for more effective approaches to catching critical bugs before they lead to costly production incidents.