Black box analysis with linear regression on global warming

• This paper clarifies p-values’ role in environment assessment. • Global CO2 level and temperature anomaly relationship varies over time. • Macro vs micro perspectives with p-values yield different outcomes. • Caution is needed in interpreting p-values for environment assessment. • Complexity marks the global temperature and CO2 relationship. This paper demonstrates that the conclusions drawn from datasets on global temperature anomaly and atmospheric CO2 from NOAA can vary depending on the range of investigated periods. By examining the data from both macroscopic and microscopic perspectives, the study reveals that different levels of analysis can produce different outcomes from the same datasets based on statistics.