1. The researcher was careful not to biasing the results with his personal opinions.
2. Biasing the data can lead to inaccurate conclusions.
3. The algorithm is designed to minimize biasing during the sorting process.
4. He was accused of biasing the jury with his emotional speech.
5. Proper training can reduce biasing in decision-making processes.
6. The study focused on avoiding biasing the sample selection.
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