A perspective on errors, bias, and interpretation in the forensic sciences and direction for continuing advancement.

Bruce Budowle1, Maureen C Bottrell, Stephen G Bunch

  • 1FBI Laboratory, 2501 Investigation Parkway, Quantico, VA 22135, USA. bbudowle@ic.fbi.gov

Summary

Forensic science disciplines require continuous review to improve quality and address errors like bias. Enhancements in education, training, and clear terminology are recommended for advancing the field.

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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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Types of Errors: Detection and Minimization01:12

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Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
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Eyewitness Memory01:22

Eyewitness Memory

Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
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Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...