What is bias and how can it affect the results of an experiment or research?

Bias refers to systematic errors or deviations from the truth in data collection, analysis, interpretation, or review, which can lead to inaccurate conclusions. It can arise from various sources, including researcher expectations, participant selection, or measurement methods. When bias is present, it can distort the results of an experiment or research, leading to misleading findings and potentially affecting subsequent decisions or policies based on that data. To mitigate bias, researchers must implement rigorous methodologies, random sampling, and blind or double-blind study designs.