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Statement analysis
Statement analysis is best understood not as a hard science or as a definitive method for detecting lies, but as a practical skillset that can assist investigators in examining how people express themselves when recounting events. The central premise is that truthful and deceptive accounts often differ in subtle linguistic ways. People who conceal information or fabricate parts of a story tend to use language differently than those who speak from genuine memory. These differences can appear in word choice, sentence structure, the level of detail provided, or in what is left unsaid.
Although statement analysis has no universally accepted scientific proof and cannot function as a courtroom “lie detector,” it has found value in investigative practice, particularly in cold cases. In situations where traditional evidence has been exhausted, re-examining written statements or interview transcripts through a linguistic lens can uncover overlooked details, highlight inconsistencies, or reveal areas that warrant renewed questioning. In this sense, statement analysis is less about making categorical judgments of truth or falsehood and more about generating new angles of inquiry that might otherwise remain hidden.
Importantly, statement analysis should not be confused with branded systems such as Scientific Content Analysis (SCAN), which has been criticized for lack of empirical support and for claims that go beyond what the evidence allows. When framed instead as an investigative skill—akin to attentive reading, critical listening, and hypothesis generation—statement analysis can contribute meaningfully to the investigative process. Its value lies in its ability to sharpen attention to language, to provide structure to intuitive impressions, and to guide investigators toward asking better, more focused questions.
Statement analysis differs from scientific content analysis (SCAN), which is considered a pseudoscientific technique for analyzing the words people use to try to determine if what they said is accurate. Proponents claim this technique can be used to detect concealed information, missing information, embedded confessions and whether the information that person has provided is true or false.
Multiple empirical studies have found SCAN techniques to be unreliable at correctly separating true and false statements. SCAN is generally not accepted by courts and has been described as a form of pseudoscience.
Related to statement analysis is a different technique for analyzing the words people use called "statement validity assessment" (SVA). The SVA is a tool that was originally designed to determine the credibility of child witnesses testimonies in trials for sexual offences. The "criteria-based content analysis" (CBCA) is a core component of the SVA and is a tool used to distinguish true statements from false statements as CBCA scores are expected to be higher for truth tellers than liars. A qualitative review of the CBCA analyzed 37 studies, strong support for the tool was established as truth tellers obtained significantly higher CBCA scores compared to the liars. More recently, a meta-analytic review found CBCA criteria to be a valid technique for discriminating between memories of real self-experienced events and invented or false accounts.
Countries such as The Netherlands, Germany and Sweden use these techniques as scientific evidence in court. However, countries such as the United States, Canada and the UK do not consider these techniques as legally valid evidence in court. Studies have raised serious questions and concerns about the validity of CBCA for assessing the credibility of children's testimonies. One study using 114 children showed that CBCA scores were higher for the group of children describing a familiar event compared to the group of children describing an unfamiliar event. The potential influence of familiarity on CBCA scores raises concerns about the validity of the tool for assessing credibility in children.
It has also been noted that the error rate of CBCA in the laboratory is high, that the error rate of SVA in practice is unknown and that the methodology continues to be disputed among the scientific community. In conclusion, there is still great controversy surrounding the use of the SVA and many studies have investigated its core component, the CBCA, in order to determine its validity and reliability. More research is needed to conclude whether or not the information obtained from these tests should be admissible in court.
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Statement analysis AI simulator
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Statement analysis
Statement analysis is best understood not as a hard science or as a definitive method for detecting lies, but as a practical skillset that can assist investigators in examining how people express themselves when recounting events. The central premise is that truthful and deceptive accounts often differ in subtle linguistic ways. People who conceal information or fabricate parts of a story tend to use language differently than those who speak from genuine memory. These differences can appear in word choice, sentence structure, the level of detail provided, or in what is left unsaid.
Although statement analysis has no universally accepted scientific proof and cannot function as a courtroom “lie detector,” it has found value in investigative practice, particularly in cold cases. In situations where traditional evidence has been exhausted, re-examining written statements or interview transcripts through a linguistic lens can uncover overlooked details, highlight inconsistencies, or reveal areas that warrant renewed questioning. In this sense, statement analysis is less about making categorical judgments of truth or falsehood and more about generating new angles of inquiry that might otherwise remain hidden.
Importantly, statement analysis should not be confused with branded systems such as Scientific Content Analysis (SCAN), which has been criticized for lack of empirical support and for claims that go beyond what the evidence allows. When framed instead as an investigative skill—akin to attentive reading, critical listening, and hypothesis generation—statement analysis can contribute meaningfully to the investigative process. Its value lies in its ability to sharpen attention to language, to provide structure to intuitive impressions, and to guide investigators toward asking better, more focused questions.
Statement analysis differs from scientific content analysis (SCAN), which is considered a pseudoscientific technique for analyzing the words people use to try to determine if what they said is accurate. Proponents claim this technique can be used to detect concealed information, missing information, embedded confessions and whether the information that person has provided is true or false.
Multiple empirical studies have found SCAN techniques to be unreliable at correctly separating true and false statements. SCAN is generally not accepted by courts and has been described as a form of pseudoscience.
Related to statement analysis is a different technique for analyzing the words people use called "statement validity assessment" (SVA). The SVA is a tool that was originally designed to determine the credibility of child witnesses testimonies in trials for sexual offences. The "criteria-based content analysis" (CBCA) is a core component of the SVA and is a tool used to distinguish true statements from false statements as CBCA scores are expected to be higher for truth tellers than liars. A qualitative review of the CBCA analyzed 37 studies, strong support for the tool was established as truth tellers obtained significantly higher CBCA scores compared to the liars. More recently, a meta-analytic review found CBCA criteria to be a valid technique for discriminating between memories of real self-experienced events and invented or false accounts.
Countries such as The Netherlands, Germany and Sweden use these techniques as scientific evidence in court. However, countries such as the United States, Canada and the UK do not consider these techniques as legally valid evidence in court. Studies have raised serious questions and concerns about the validity of CBCA for assessing the credibility of children's testimonies. One study using 114 children showed that CBCA scores were higher for the group of children describing a familiar event compared to the group of children describing an unfamiliar event. The potential influence of familiarity on CBCA scores raises concerns about the validity of the tool for assessing credibility in children.
It has also been noted that the error rate of CBCA in the laboratory is high, that the error rate of SVA in practice is unknown and that the methodology continues to be disputed among the scientific community. In conclusion, there is still great controversy surrounding the use of the SVA and many studies have investigated its core component, the CBCA, in order to determine its validity and reliability. More research is needed to conclude whether or not the information obtained from these tests should be admissible in court.