Difficulty: Easy

Average Score: 100%

What is an example of confirmation bias in data collection?

Rationale

People only notice things that support their intuition.

Confirmation bias occurs when individuals focus on information that confirms their pre-existing beliefs while disregarding evidence that contradicts them. In this case, noticing only supportive information exemplifies how confirmation bias can influence data collection and interpretation.

A (Scientists see a different object when looking into the same microscope) YOUR ANSWER

This choice does not represent confirmation bias, as it suggests variability in observation among scientists rather than a selective interpretation of data. Confirmation bias involves selectively focusing on confirming evidence rather than differences in perception among observers.

B (One person is surveyed from a diverse population) YOUR ANSWER

Surveying only one individual from a diverse population fails to illustrate confirmation bias; instead, it highlights a methodological flaw in data collection. Confirmation bias pertains to how people interpret information, not the representativeness of the data collection process itself.

C (People explain the same situation based on their unique experiences) YOUR ANSWER

While this choice reflects individual perspectives, it does not specifically illustrate confirmation bias. It is more about subjective interpretation rather than the selective attention to information that confirms previously held beliefs, which is at the heart of confirmation bias.

D (People only notice things that support their intuition) CORRECT

This choice directly illustrates confirmation bias, as it describes how individuals may unconsciously filter information, focusing solely on evidence that aligns with their pre-existing beliefs or intuitions while ignoring conflicting data. This selective observation can significantly distort data collection and analysis.

Conclusion

Confirmation bias is a cognitive phenomenon where individuals favor information that reinforces their existing beliefs, leading to skewed interpretations of data. Among the provided options, the choice that best exemplifies this bias is the tendency to notice only supportive information. Understanding confirmation bias is crucial for improving data collection practices and ensuring a more objective analysis of evidence.

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