The way scientists measure circadian disruption from daylight saving time transitions may be fundamentally flawed, potentially inflating estimates of health risks like stroke and obesity. This methodological critique challenges a widely-used research approach that has influenced public health recommendations about time policy changes. The core issue centers on the "sum of absolute circadian shifts" metric, which researchers commonly use to quantify how much our biological clocks are disrupted by time transitions. This measurement approach treats forward and backward time shifts as equivalent stressors on human physiology, summing their absolute values to create a total disruption score. However, this mathematical treatment may not reflect actual biological responses to temporal displacement. The human circadian system demonstrates asymmetric responses to phase advances versus delays, with spring-forward transitions typically causing more pronounced physiological stress than fall-back changes. Previous epidemiological studies linking daylight saving time to increased stroke rates, metabolic dysfunction, and obesity may have overcounted the health burden by using this problematic metric. The concern extends beyond academic precision to real-world policy implications. Health authorities have cited circadian disruption research when evaluating whether to eliminate seasonal time changes, with some regions already abandoning the practice partly based on these health risk assessments. If the foundational measurement approach systematically overestimates harm, it could lead to policy decisions not fully supported by the underlying biology. This methodological scrutiny represents an important recalibration in circadian health research, suggesting that future studies need more sophisticated approaches to quantifying temporal disruption. The findings underscore how measurement choices in epidemiological research can significantly influence both scientific conclusions and subsequent public health policies affecting millions of people.