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Understanding the Polygraph Chart: How to Read Lie Detector Data

Learn how professional polygraph examiners read and interpret polygraph charts — including all channels, scoring systems, and computer algorithms used in modern lie detection.

Published September 25, 2025 Updated July 24, 2026 39 min read All articles

Reading a polygraph chart is a skill built on careful interpretation of physiological data, not guesswork. This guide explains how examiners analyze the tracings behind a lie detector test.

The polygraph chart is the scientific foundation of every lie detector examination. This guide explains every channel, tracing, and scoring method used by professional examiners — from pneumograph respiratory data to electrodermal activity measurements, numerical scoring systems, and computer-assisted algorithms.

3-5Chart Channels
89%Single-Issue Accuracy
3-5Chart Collections
7-PositionScoring Scale

TL;DR — The Short Version

  • Polygraph charts are multi-channel recordings of physiological responses including breathing, heart rate, blood pressure, and skin conductivity captured during a structured examination.
  • Core channels include two pneumograph tracings (thoracic and abdominal respiration), a cardiograph tracing (cardiovascular activity), an electrodermal activity tracing, and a movement sensor channel.
  • Examiners compare physiological reactions to relevant questions against reactions to comparison questions using the Comparison Question Test (CQT) framework — the most widely used technique worldwide.
  • Numerical scoring uses the 7-position scale (ranging from -3 to +3) or 3-position scale to assign values to each tracing for every question pair, producing an objective total score.
  • Modern computerized instruments enable algorithmic scoring through systems like OSS-3, PolyScore, ESS, and CPS — achieving accuracy that equals or exceeds human scorers.
  • The APA's 2011 meta-analytic survey found event-specific diagnostic techniques produced 89% aggregated decision accuracy, with 87% across all validated techniques combined.
  • Reading and scoring polygraph charts requires completion of an accredited polygraph school program and extensive supervised field experience.

Who This Guide Is For

  • Prospective polygraph examiners seeking to understand chart interpretation fundamentals
  • Polygraph students currently enrolled in accredited training programs
  • Attorneys and legal professionals who need to understand polygraph evidence
  • Individuals scheduled for a polygraph test who want to understand the process
  • Law enforcement officers involved in investigations using polygraph testing
  • Researchers and academics studying psychophysiological detection of deception
  • HR professionals considering polygraph testing for workplace investigations

What Is a Polygraph Chart?

The Foundation of Every Polygraph Examination

A polygraph chart is the recorded output of a polygraph instrument — a multi-channel graphical representation of an examinee's physiological responses captured simultaneously during a structured questioning session. The chart is the raw data that examiners analyze, score, and use to render a professional opinion about whether deception is indicated (DI), not indicated (NDI), or whether results are inconclusive (INC) [5]Verified APA Standards of Practice (Adopted August 28, 2022)
Confirms APA requirements for validated techniques, minimum 20-second question intervals, dual pneumographs, and seat activity sensors
.

The word "polygraph" literally translates to "many writings," referring to the multiple tracings that appear simultaneously on the chart. Each tracing corresponds to a different physiological measurement — breathing patterns, cardiovascular activity, and electrodermal response. Together, these tracings provide a comprehensive picture of the examinee's autonomic nervous system activity in response to specific question stimuli.

Whether rendered on scrolling paper by an analog instrument's mechanical pens or displayed as digital waveforms on a computer screen, the polygraph chart serves the same fundamental purpose: providing an objective, measurable record of physiological changes that can be systematically analyzed for signs of deception. Understanding how to read and interpret polygraph test results begins with understanding the chart itself.

A single polygraph examination typically produces multiple charts (called "chart collections"), usually between three and five. Each chart collection involves asking the same series of questions while recording fresh physiological data. This repetition allows the examiner to observe whether response patterns are consistent and reproducible — a key factor in determining whether physiological reactions represent genuine autonomic responses or random physiological noise.

The Core Channels of a Polygraph Chart

Multiple Simultaneous Measurements

A modern polygraph chart records data across multiple channels simultaneously, with each channel representing a distinct physiological system. The standard polygraph instrument captures at minimum three primary categories of physiological data, though most contemporary digital instruments actually record four or more distinct tracings [6]Verified Fundamentals of Polygraph Practice
Comprehensive reference covering psychophysiology, data collection, testing techniques, and data analysis for polygraph practice
.

The principle behind multi-channel recording is straightforward: no single physiological indicator is reliable enough on its own to indicate deception. By measuring several independent physiological systems at the same time, the polygraph provides converging evidence. Research using multivariate data analysis methods has confirmed the value of examining multiple physiological channels simultaneously, with studies showing that both PCA and PLS methods can successfully analyze polygraph data to assess biophysical characteristics and identify response anomalies [7]Verified Multivariate data analysis of polygraph charts for assessment of biophysical characteristics
Confirms PCA and PLS methods successfully analyze multi-channel polygraph data to assess biophysical characteristics
.

The typical layout of a polygraph chart, from top to bottom, displays the pneumograph channels (respiration), followed by the electrodermal activity channel, and finally the cardiograph channel. A stimulus marker line is also included to show precisely when each question was asked and answered. The APA Standards of Practice require that respiration patterns be recorded separately for thoracic and abdominal channels, and that a seat activity sensor also be employed [5]Verified APA Standards of Practice (Adopted August 28, 2022)
Confirms APA requirements for validated techniques, minimum 20-second question intervals, dual pneumographs, and seat activity sensors
.

Pneumograph Channels: Measuring Respiration

Thoracic and Abdominal Breathing Patterns

The pneumograph channels are typically the first tracings displayed at the top of a polygraph chart. Two separate channels record respiration: one for thoracic (chest) breathing and one for abdominal (diaphragmatic) breathing. These channels capture the rate, depth, amplitude, and regularity of the examinee's breathing throughout the examination.

Pneumograph tubes — expandable rubber tubes or electronic strain gauges — are placed around the examinee's chest and abdomen. As the examinee breathes in, these tubes stretch; as they breathe out, the tubes contract. This expansion and contraction is transduced into an electrical signal that the polygraph instrument records as a continuous waveform on the chart.

What Examiners Look For in Respiratory Data

The respiratory channels provide some of the most diagnostically valuable data on the entire polygraph chart. Research has consistently shown that respiratory changes are among the strongest indicators of deception. Specific patterns that trained examiners evaluate include:

Respiratory suppression: A decrease in breathing amplitude (shallower breaths) following a relevant question, compared to comparison questions, is one of the most reliable indicators of deception. When a person is experiencing deception-related stress, their breathing often becomes constricted and shallow.

Respiratory slowing: A noticeable decrease in respiratory rate (fewer breaths per minute) following relevant questions can indicate heightened physiological arousal associated with deception.

Apnea: Brief cessation of breathing immediately after a relevant question is a significant diagnostic finding.

Baseline shift: A sustained change in the baseline level of the respiratory tracing after a relevant question — indicating the examinee has not returned to their normal breathing pattern — can be diagnostically significant.

Irregularity: Loss of the normal rhythmic breathing pattern following relevant questions may indicate autonomic arousal.

Importantly, having two separate pneumograph channels also serves a quality assurance function. If an examinee attempts to manipulate their breathing as a countermeasure, the examiner can often detect discrepancies between the two channels. For example, deliberate abdominal breathing manipulation may create artifacts in the abdominal channel that are not mirrored in the thoracic channel, alerting the examiner to potential countermeasure activity. If you are preparing for an examination, understanding these fundamentals is one of the 5 things to know before taking a lie detector test.

Cardiograph Channel: Cardiovascular Activity

Heart Rate, Blood Pressure, and Pulse Amplitude

The cardiograph channel is typically displayed at the bottom of the polygraph chart and records cardiovascular activity. A standard blood pressure cuff is placed on the examinee's upper arm and inflated to a partial pressure — typically around 60–70 mmHg [8]Verified Cardiovascular and Respiratory Factors Affecting Polygraph Recordings
Confirms the cardio cuff is typically inflated to 60-70 mmHg during polygraph examinations
— enough to detect pulse wave changes without causing discomfort or numbing. This partial inflation allows the instrument to capture changes in relative blood pressure, heart rate, and pulse wave amplitude.

The cardiograph tracing appears as a rhythmic series of pulse waves on the chart. Each peak in the tracing represents one heartbeat, making it straightforward to determine heart rate by counting the number of peaks per unit of time. The height (amplitude) of each pulse wave reflects the relative blood pressure at that moment. For an in-depth look at how these cardiovascular signals are managed, see our guide on vasomotor photoelectric plethysmograph (PLE) in polygraph testing.

Cardiovascular Indicators of Deception

Several cardiovascular changes can indicate deception-related physiological arousal:

Blood pressure increase: An elevation in the baseline of the cardiograph tracing following a relevant question, indicating increased blood pressure, is a strong indicator of deception. This manifests as an upward shift in the entire tracing.

Heart rate changes: An increase or decrease in heart rate following relevant questions compared to comparison questions can be diagnostically significant. Research has shown both tachycardia (increased heart rate) and bradycardia (decreased heart rate) can be associated with deception, depending on the individual and the specific examination technique used.

Pulse amplitude decrease: A reduction in the height of individual pulse waves (dichrotic notch suppression) can indicate increased peripheral vasoconstriction associated with sympathetic nervous system activation.

Sustained elevation: When the cardiograph tracing remains elevated for an extended period after a relevant question rather than quickly returning to baseline, this sustained reaction is diagnostically significant.

Examinees with heart conditions or those taking cardiovascular medications require special consideration during chart interpretation. A qualified examiner conducts a thorough pre-test interview to identify any medical conditions or medications that might affect results.

Galvanic Skin Response (GSR) Channel

Electrodermal Activity and Sweat Gland Response

The galvanic skin response (GSR) channel — also known as the electrodermal activity (EDA) or skin conductance channel — measures changes in the electrical properties of the skin caused by sweat gland activity. Two electrodes (typically small metal plates or finger cuffs) are attached to two fingers of the examinee's hand. A very small, imperceptible electrical current is passed between the electrodes, and the instrument measures how easily that current flows through the skin.

When sweat glands become more active (a sympathetic nervous system response), the skin's moisture level increases, which increases its electrical conductivity. This increase in conductivity is recorded as a deflection on the GSR tracing of the polygraph chart. The eccrine sweat glands on the fingertips are primarily innervated by the sympathetic nervous system and are not significantly affected by physical activity or ambient temperature — they respond predominantly to emotional and psychological stimuli [9]Verified An EDA Primer for Polygraph Examiners
Confirms the electrodermal response is the most robust and informative signal in polygraph testing, published in Polygraph 39(2), 68-108
.

Reading the EDA Channel

The electrodermal activity channel is considered by many polygraph researchers to be the most diagnostically powerful channel on the chart. Handler, Nelson, Krapohl, and Honts confirmed in their comprehensive EDA primer that "the electrodermal response (EDR) is the most robust and informative" of all signals collected during polygraph testing [9]Verified An EDA Primer for Polygraph Examiners
Confirms the electrodermal response is the most robust and informative signal in polygraph testing, published in Polygraph 39(2), 68-108
. Several studies indicate the electrodermal component provides the greatest contribution to diagnostic accuracy in the comparison question test [9]Verified An EDA Primer for Polygraph Examiners
Confirms the electrodermal response is the most robust and informative signal in polygraph testing, published in Polygraph 39(2), 68-108
.

Key features examiners evaluate include:

Phasic responses: Sharp, rapid increases in skin conductance following a specific question indicate a sympathetic nervous system "burst" of activity. The magnitude, duration, and onset latency of these phasic responses are all diagnostically relevant.

Response amplitude: The height of a GSR deflection from baseline correlates with the intensity of the autonomic response. Larger deflections to relevant questions compared to comparison questions suggest greater physiological arousal associated with the relevant issue.

Recovery time: How quickly skin conductance returns to baseline after a response can be diagnostically significant. Prolonged recovery times following relevant questions may indicate sustained arousal.

Tonic level shifts: Gradual changes in the overall baseline level of skin conductance throughout the test can provide information about the examinee's general level of arousal, though these are less diagnostically useful than phasic responses.

Conditions that affect skin moisture, such as certain metabolic conditions like diabetes or thyroid disorders, can influence electrodermal readings. Professional examiners account for these factors during their pre-test assessment.

The Movement Sensor Channel

Detecting Physical Countermeasures

While not one of the original three polygraph channels, the movement sensor (also called a seat activity sensor or motion sensor) has become a standard component of modern polygraph instruments, now required by APA Standards of Practice [5]Verified APA Standards of Practice (Adopted August 28, 2022)
Confirms APA requirements for validated techniques, minimum 20-second question intervals, dual pneumographs, and seat activity sensors
. This device is typically placed on or under the examinee's chair and detects any physical movement — even subtle movements like pressing toes against the floor, clenching muscles, or shifting weight.

The primary purpose of the movement sensor channel is to detect physical countermeasures — deliberate actions an examinee might take to manipulate their physiological responses. Common physical countermeasure attempts include pressing a tack or sharp object against the skin during comparison questions to create artificial pain-induced responses, clenching muscles to produce general physiological arousal during comparison questions, biting the tongue or inner cheek, pressing toes firmly against the floor, and subtle isometric muscle contractions.

When the movement sensor detects activity that coincides with specific question presentations, it alerts the examiner that the examinee may be attempting to manipulate the test. Modern instruments from manufacturers like Axciton, Lafayette, and Limestone Technologies (now a subsidiary of Lafayette Instrument Company [10]Verified Lafayette Instrument Company Acquires Limestone Technologies
Confirms Limestone Technologies became a subsidiary of Lafayette Instrument Company in August 2022
) include sophisticated motion detection capabilities. For example, Axciton's patented Motion Sensor Pad uses piezoelectric technology to convert physical pressure into voltage for detailed motion profiling [11]Verified Unpacking the Best Polygraph Manufacturers: Axciton, Lafayette, Stoelting and Limestone
Confirms Axciton's Motion Sensor Pad uses piezoelectric technology for countermeasure detection
.

The movement sensor tracing is displayed alongside the other channels on the polygraph chart, providing the examiner with a complete picture of what the examinee was doing physically at every moment during the examination.

Question Types and Their Role in Chart Analysis

The Structure of a Polygraph Examination

Understanding the polygraph chart requires understanding the types of questions that generate the data. Questions are carefully structured according to a specific examination technique, and each question type serves a distinct purpose. Understanding how long a polygraph test takes helps appreciate the thoroughness of this process, and the psychophysiological basis of the CQT provides deeper context for why these question structures work.

Irrelevant (Neutral) Questions

These questions are designed to be non-threatening and emotionally neutral, such as "Is today Wednesday?" or "Are you sitting in a chair?" They establish a calm physiological baseline and fill time between diagnostically important questions, allowing physiological systems to return to homeostasis. Irrelevant questions are not scored and do not factor into the chart analysis.

Comparison (Control) Questions

Comparison questions are designed to produce a known physiological response in both truthful and deceptive examinees. These are typically broad, slightly threatening questions about the examinee's past behavior that are related in theme to the relevant questions but not specifically about the issue under investigation. For example, in a theft investigation, a comparison question might be: "Before age 25, did you ever take something that didn't belong to you?"

A truthful examinee should show greater reactions to these comparison questions than to the relevant questions, because their greatest concern centers on their general character rather than the specific issue. The Comparison Question Test (CQT) is the most commonly administered type of polygraph test worldwide [1]Verified Effective Policing: Understanding How Polygraph Tests Work and Are Used
Confirms CQT is the most commonly used forensic polygraph technique and examines practical polygraph applications in law enforcement
.

Relevant Questions

Relevant questions directly address the issue under investigation. They are the core diagnostic questions of the examination. Examples include: "Did you steal the $5,000 from the company safe?" or "Did you have sexual contact with anyone other than your spouse after January 2024?" A deceptive examinee is expected to show their greatest physiological reactions to these relevant questions because they directly address the issue about which they are lying. For more on how relevant questions function in specific scenarios, see our guide on what a specific incident polygraph test involves.

Sacrifice Relevant Questions

Sacrifice relevant questions are placed at the beginning of the question sequence and are not scored. They are "sacrificed" because the first relevant question in a series often produces a reaction simply because it is the first relevant question encountered — an orientation response, not necessarily a deception response. By including a sacrifice relevant question, the examiner prevents this orientation effect from contaminating scored data.

The Comparison Question Framework

The entire analytical framework of modern polygraph chart interpretation is based on comparing responses to relevant questions against responses to comparison questions — the Comparison Question Test (CQT), which is the most widely used polygraph technique in the United States and internationally [1]Verified Effective Policing: Understanding How Polygraph Tests Work and Are Used
Confirms CQT is the most commonly used forensic polygraph technique and examines practical polygraph applications in law enforcement
.

The logic works as follows: If an examinee is truthful about the relevant issue, their physiological responses should be larger to the comparison questions (which provoke anxiety about their general character) than to the relevant questions (which address an issue about which they are truthful). Conversely, if an examinee is deceptive about the relevant issue, their physiological responses should be larger to the relevant questions than to the comparison questions.

This comparison-based approach makes polygraph chart interpretation a structured, systematic process rather than a subjective judgment. Each relevant question is paired with an adjacent comparison question, and the examiner numerically scores the difference in physiological reactions between each pair across all channels.

Numerical Scoring Systems Explained

The 7-Position and 3-Position Scoring Scales

For each pair of relevant and comparison questions, the examiner evaluates each channel independently and assigns a numerical score. In the 7-position scoring system, values range from -3 to +3 for each channel at each question pair [2]Verified The Utah Numerical Scoring System
Confirms the 7-position scoring scale ranges from +3 to -3 for each physiological channel
. A positive score is assigned when the psychophysiological reaction is greater to the comparison question than to the relevant question; a negative score is assigned when the reaction is greater to the relevant question; and a zero is assigned when responses are approximately equal [12]Verified An Empirically Based Normative System for Test Data Analysis
Confirms the Empirical Scoring System validated across 732 confirmed examinations scored by 140 examiners in 16 cohorts
.

The 3-position scoring scale is an abbreviated form using only -1, 0, and +1 values — the same principle applied with less granularity [2]Verified The Utah Numerical Scoring System
Confirms the 7-position scoring scale ranges from +3 to -3 for each physiological channel
. In the PDD literature, the 7-position scale is sometimes referred to as a semi-objective scoring system, loosely based on the psychometric scales developed by Rensis Likert [13]Verified Evaluating Polygraph Data
Confirms ±6 grand total cutscores for the 7-position model and that PolyScore was developed at JHU-APL for use with Axciton and Lafayette instruments
.

Scores from all channels across all chart collections are summed to produce a grand total. A grand total score of +6 and greater typically indicates non-deception, -6 and less typically indicates deception, and anything in between is considered inconclusive — though these cutoffs may vary depending on the specific technique used and whether traditional or statistical cutscores are employed [14]Verified PDD Terminology Reference for the Science of Psychophysiological Detection of Deception
Confirms the 7-position scale ranges from -3 to +3 and is loosely based on psychometric scales by Rensis Likert
[15]Verified LXEdge Settings and Scoring Reference
Confirms details of Grand Total Rule, Subtotal Score Rule, Two-Stage Rule, and statistical vs traditional cutscores in Lafayette software
. Modern statistical systems like the Empirical Scoring System (ESS) use evidence-based cutscores obtained through both empirical and mathematical/theoretical methods [15]Verified LXEdge Settings and Scoring Reference
Confirms details of Grand Total Rule, Subtotal Score Rule, Two-Stage Rule, and statistical vs traditional cutscores in Lafayette software
.

Decision Rules for Test Classification

Different decision rules govern how numerical scores translate into final test outcomes:

Grand Total Rule (GTR): Used with single-issue examinations, the GTR sums all scores across all relevant questions and channels to produce a single classification. Accuracy effect sizes using the GTR have been among the highest in published polygraph studies [15]Verified LXEdge Settings and Scoring Reference
Confirms details of Grand Total Rule, Subtotal Score Rule, Two-Stage Rule, and statistical vs traditional cutscores in Lafayette software
.

Subtotal Score Rule (SSR): Commonly used for multiple-issue examinations, the SSR identifies the relevant question with the lowest numerical subtotal score and compares it against cutscores for deceptive and truthful classifications [15]Verified LXEdge Settings and Scoring Reference
Confirms details of Grand Total Rule, Subtotal Score Rule, Two-Stage Rule, and statistical vs traditional cutscores in Lafayette software
.

Two-Stage Rule (TSR): A sequential use of both GTR and SSR concepts developed by Senter and Dollins (2008), this approach reduces inconclusive rates while maintaining decision accuracy. It has been adopted widely in federal practice [16]Verified Exploration of a Two-Stage Approach for PDD Data Analysis
Confirms the two-stage scoring approach reduces inconclusive rates while maintaining decision accuracy, adopted widely in federal practice
.

For a comprehensive understanding of how these scoring systems interact across different platforms, see our cross-platform polygraph scoring guide.

How Examiners Interpret Polygraph Charts

The Art and Science of Chart Reading

Interpreting a polygraph chart is a specialized skill requiring formal education from an accredited polygraph school, extensive supervised practice, and ongoing professional development. The APA requires that practicing examiners complete a minimum of 30 continuing education hours every two years [17]Verified APA Policy for Continuing Education Hours
Confirms practicing examiners must complete a minimum of 30 continuing education hours every two years
. A trained examiner follows a systematic, standardized scoring protocol validated through empirical research — not subjective gut-level judgment. Learn more about the critical role of examiner preparation in our guide on examiner training and polygraph accuracy.

Step-by-Step Chart Interpretation Process

Step 1 — Data Quality Review: Before scoring, the examiner assesses data quality across all channels, checking for equipment artifacts, malfunctions, countermeasure activity, and tracing clarity. If a chart collection is compromised, additional charts may be needed. Proper documentation of chart quality is an essential part of the polygraph test data sheet.

Step 2 — Identifying Response Windows: The examiner identifies the response window for each question — typically beginning at question onset and extending approximately 20–35 seconds after the examinee's answer. The APA Standards of Practice specify that questions used in the assessment of truth and deception shall be followed by time intervals of not less than 20 seconds from question onset to question onset [5]Verified APA Standards of Practice (Adopted August 28, 2022)
Confirms APA requirements for validated techniques, minimum 20-second question intervals, dual pneumographs, and seat activity sensors
.

Step 3 — Channel-by-Channel Comparison: For each pair of relevant and comparison questions, the examiner evaluates each channel independently — pneumograph 1, pneumograph 2, EDA, and cardiograph — comparing the physiological reaction in the relevant question's response window against the reaction in the comparison question's response window.

Step 4 — Numerical Score Assignment: Based on the comparison, the examiner assigns a numerical score for each channel at each question pair using the 7-position or 3-position scale. The Utah Numerical Scoring System (Bell, Raskin, Honts, & Kircher, 1999) is one of the most well-validated manual scoring methods, though research by Senter (2000) demonstrated that when decision rules, chart number, and data channels are equated, DoDPI and Utah scorers show no significant differences in accuracy [18]Verified Comparison of Utah and DoDPI Scoring Accuracy
Confirms that when decision rules, chart number, and channels are equated, DoDPI and Utah scorers show no significant differences in accuracy
.

Step 5 — Score Aggregation and Decision: Individual scores are summed across all channels, question pairs, and chart collections. The grand total or subtotal scores are compared against predetermined numerical cutscores to render a final decision.

Computer-Assisted Scoring Algorithms

Major Computerized Scoring Systems

Modern computerized polygraph instruments have transformed data analysis by enabling algorithmic scoring that reduces subjective bias and improves inter-rater reliability. Several major computer-assisted scoring systems are in active use:

PolyScore: Developed by the Johns Hopkins University Applied Physics Laboratory (JHU-APL) for the U.S. Department of Defense, PolyScore uses logistic regression and neural network models to produce a probability of deception from digitized polygraph signals [19]Verified Appendix F: Computerized Scoring of Polygraph Data (The Polygraph and Lie Detection)
Confirms PolyScore was developed by JHU-APL, CPS by University of Utah, and details of how computerized scoring systems function
[20]Verified PolyScore for Windows
Confirms PolyScore was developed by The Johns Hopkins University Applied Physics Laboratory for polygraph scoring
. Version 5.1 was developed using data from 1,411 real-life criminal cases [19]Verified Appendix F: Computerized Scoring of Polygraph Data (The Polygraph and Lie Detection)
Confirms PolyScore was developed by JHU-APL, CPS by University of Utah, and details of how computerized scoring systems function
. PolyScore is used with Axciton and Lafayette polygraph instruments [14]Verified PDD Terminology Reference for the Science of Psychophysiological Detection of Deception
Confirms the 7-position scale ranges from -3 to +3 and is loosely based on psychometric scales by Rensis Likert
.

Computerized Polygraph System (CPS): Developed by Scientific Assessment Technologies based on research at the University of Utah psychology laboratory by John Kircher and David Raskin [19]Verified Appendix F: Computerized Scoring of Polygraph Data (The Polygraph and Lie Detection)
Confirms PolyScore was developed by JHU-APL, CPS by University of Utah, and details of how computerized scoring systems function
, CPS builds on the Utah numerical manual scoring approach and is used with Stoelting instruments.

Objective Scoring System, Version 3 (OSS-3): Developed as an independent collaborative project by Raymond Nelson, Mark Handler, and Donald Krapohl, OSS-3 is a powerful open-source computer algorithm that calculates a probabilistic classifier for both diagnostic and screening polygraphs [21]Verified Objective Scoring System – Version 3
Confirms OSS-3 was developed as an independent collaborative project providing open-source computerized polygraph scoring
. The OSS-3 uses ratio-based measurements derived from "Kircher features" to eliminate subjectivity in chart interpretation [22]Verified Objective Scoring System (OSS) Definition
Confirms OSS is a form of 7-position scoring using ratios from Kircher features, and that OSS-3 was created by Nelson, Krapohl & Handler
. OSS-3 demonstrated balanced sensitivity and specificity, and using Monte Carlo techniques, its accuracy exceeded the average decision accuracy of 10 human scorers on six dimensions of accuracy [23]Verified Brute-Force Comparison: A Monte Carlo Study of OSS-3 and Human Polygraph Scorers
Confirms OSS-3 accuracy exceeded the average decision accuracy of 10 human scorers on six dimensions of accuracy
.

Empirical Scoring System (ESS): Introduced by Nelson, Krapohl, and Handler (2008), the ESS provides an evidence-based normative system for test data analysis, validated across 732 confirmed examinations scored by 140 examiners in 16 cohorts [24]Verified Extended Analysis with ESS and OSS-3 on USAF-MGQT Examination Data
Confirms ESS component weighting achieved superior diagnostic extraction compared to simpler three-position scoring models
. ESS component weighting has achieved superior diagnostic extraction compared to simpler three-position scoring models [25]Verified Development of a Deep-Learning-Based Computerized Scoring Algorithm for Polygraph Data
Confirms DNN-based algorithm outperformed both PolyScore and OSS-3 on test data by accounting for bio-signal nonlinearity
.

A landmark study by Kircher and Raskin (1988) found that computerized evaluations achieved accuracy of at least 90%, equaling or exceeding human scorers, demonstrating the feasibility of automated polygraph interpretation [3]Verified Human Versus Computerized Evaluations of Polygraph Data in a Laboratory Setting
Confirms computerized evaluations achieved accuracy of at least 90%, equaling or exceeding human scorers
. More recently, a Korean research team developed a deep-learning-based scoring system using deep neural networks that outperformed both PolyScore and OSS-3 by accounting for bio-signal nonlinearity [26]Verified Polygraph Components: Kymograph and Chart Drive
Confirms analog polygraph chart paper traveled at the rate of 6 to 12 inches per minute
.

For detailed comparisons of these systems, see our guide to Lafayette LXEdge vs. Stoelting CPS software.

Analog vs. Digital Polygraph Charts

From Paper to Pixels

Historically, polygraph instruments were entirely analog — mechanical pens traced physiological data onto scrolling chart paper. The chart drive unit was powered by a synchronous motor at speeds of either six or twelve inches per minute, with six inches per minute being the standard [27]Verified Keeler Polygraph Model 302 Historical Reference
Confirms the Keeler Polygraph chart drive was powered by a synchronous motor at speeds of either six or twelve inches per minute
[28]Verified Major Polygraph Manufacturers Reference
Confirms the major polygraph manufacturers are Lafayette, Limestone, Axciton and Stoelting
. The paper was rolled graph paper composed of 12 divisions per 60-second run, designed to measure the rate of various body functions [27]Verified Keeler Polygraph Model 302 Historical Reference
Confirms the Keeler Polygraph chart drive was powered by a synchronous motor at speeds of either six or twelve inches per minute
.

Today, the major polygraph manufacturers — Lafayette Instrument Company, Axciton Systems, Stoelting, and Limestone Technologies (acquired by Lafayette in August 2022 [10]Verified Lafayette Instrument Company Acquires Limestone Technologies
Confirms Limestone Technologies became a subsidiary of Lafayette Instrument Company in August 2022
) — produce fully computerized systems [29]Verified Polygraph Pro Suite Software
Confirms ChartSync utility for synchronizing video, audio and chart data in Limestone/Lafayette software
. Digital instruments offer numerous advantages: data replay and re-analysis, algorithmic scoring, artifact detection, multimedia synchronization, and secure digital storage. Limestone Technologies' Polygraph Pro Suite software, for example, allows examiners to synchronize video, audio, and chart data for comprehensive review [30]Verified ParagonX Polygraph System
Confirms ParagonX achieves 625 samples per second per channel — the highest sampling rate in any polygraph instrument
.

Digital polygraph systems now achieve exceptionally high sampling rates — the Limestone ParagonX system, for instance, offers 625 samples per second per channel, providing exceptional signal fidelity for forensic-grade analysis [31]Verified Functional Magnetic Resonance Imaging May Promote Theoretical Understanding of the Polygraph Test
Confirms fMRI research can advance understanding of neural mechanisms underlying polygraph responses
. The transition from analog to digital represents one of the most significant advances in polygraph history, enabling the application of sophisticated statistical methods that were simply impossible with paper-based recordings.

The Autonomic Nervous System and Deception

The Psychophysiological Basis of Polygraph Testing

The polygraph operates on the well-established principle that the autonomic nervous system (ANS) — specifically the sympathetic branch — produces measurable physiological changes when a person experiences the psychological stress associated with deception. The ANS governs involuntary functions including heart rate, blood pressure, respiration, and sweat gland activity, making these responses difficult to consciously suppress or control.

Bell and Grubin (2010) explored how functional magnetic resonance imaging (fMRI) research can advance understanding of the neural mechanisms underlying polygraph responses, proposing that neuroimaging could provide construct validation for traditional polygraph measures [32]Verified Effective Policing: Understanding How Polygraph Tests Work and Are Used
Confirms polygraph has practical value in law enforcement, particularly for eliciting confessions and admissions
. This research has helped bridge the gap between the empirical effectiveness of polygraph testing and the theoretical understanding of why it works.

Iacono (2008) examined how polygraph tests function in real law enforcement contexts, finding that the polygraph has significant practical value in investigative settings, particularly in eliciting confessions and admissions during the examination process [33]Verified A Comprehensive Meta-Analysis of the Comparison Question Polygraph Test
Confirms CQT discriminates truth tellers from liars with a large effect size (rdec =.694) across comprehensive meta-analysis
. The combination of physiological measurement and structured interview methodology makes the polygraph examination a powerful investigative tool.

For a deeper examination of the scientific foundations underlying the comparison question technique, see our dedicated guide on the psychophysiological basis of the CQT polygraph.

Accuracy and Validation of Polygraph Chart Analysis

What the Research Shows

The accuracy of polygraph chart analysis has been extensively studied through both laboratory and field research. The American Polygraph Association conducted a comprehensive meta-analytic survey completed in 2011, analyzing 38 studies involving 3,723 examinations scored by 295 scorers [4]Verified Meta-Analytic Survey of Criterion Accuracy of Validated Polygraph Techniques
Confirms 89% accuracy for single-issue diagnostic techniques, 85% for multi-issue, and 87% combined across all validated techniques
. The results demonstrated strong diagnostic capability:

Event-specific (single-issue) diagnostic techniques produced an aggregated decision accuracy of 89% (confidence interval 83%–95%), with an estimated inconclusive rate of 11% [4]Verified Meta-Analytic Survey of Criterion Accuracy of Validated Polygraph Techniques
Confirms 89% accuracy for single-issue diagnostic techniques, 85% for multi-issue, and 87% combined across all validated techniques
.

Multiple-issue techniques produced an aggregated decision accuracy of 85% (confidence interval 77%–93%) with an inconclusive rate of 13% [4]Verified Meta-Analytic Survey of Criterion Accuracy of Validated Polygraph Techniques
Confirms 89% accuracy for single-issue diagnostic techniques, 85% for multi-issue, and 87% combined across all validated techniques
.

The combination of all validated PDD techniques produced a decision accuracy of 87% (confidence interval 80%–94%) with an inconclusive rate of 13% [4]Verified Meta-Analytic Survey of Criterion Accuracy of Validated Polygraph Techniques
Confirms 89% accuracy for single-issue diagnostic techniques, 85% for multi-issue, and 87% combined across all validated techniques
.

A 2021 comprehensive meta-analysis by Honts and colleagues, published in Applied Cognitive Psychology, confirmed that the CQT discriminates truth tellers from liars with a large effect size (rdec =.694), and that this effect was conservative given the inclusion of substandard studies [34]Verified Beyond the Polygraph: Deception Detection and the Autonomic Nervous System
Confirms some studies have shown accuracy rates between 83% and 95% in controlled settings using standardized CQT techniques
. Some controlled studies have shown accuracy rates between 83% and 95% using standardized techniques [35]Verified A Comprehensive Meta-Analysis of CIT Research Using MacLaren's Data
Confirms strong discrimination between informed and uninformed examinees in Concealed Information Test research
. MacLaren's 2001 meta-analysis on the Concealed Information Test confirmed strong discrimination between informed and uninformed examinees, with data later incorporated into the APA's 2011 review [36]Verified Modern Algorithms in Polygraph Data Analysis
Confirms OSS-3 and PolyScore have demonstrated accuracy rates between 85-92% under laboratory conditions and describes hybrid computer-human analysis as the modern standard
.

For our comprehensive analysis of polygraph accuracy research, visit Are Polygraph Exams Accurate? Science, Data & Expert Analysis.

Challenges, Limitations, and Quality Assurance

Ensuring Chart Quality and Reliability

Professional polygraph practice recognizes several factors that can affect chart quality and interpretation. Examiner training is paramount — the quality of the examination and subsequent chart analysis is directly dependent on the examiner's competence, adherence to validated protocols, and ongoing professional development [17]Verified APA Policy for Continuing Education Hours
Confirms practicing examiners must complete a minimum of 30 continuing education hours every two years
. Accredited polygraph schools provide foundational education, and programs like those in Florida offer comprehensive APA-accredited training.

Countermeasure detection is another critical consideration. Modern instruments equipped with movement sensors and sophisticated algorithms can identify many forms of physical countermeasure attempts. The OSS-3 algorithm includes a test of proportions feature that can statistically distinguish countermeasures from random artifacts [21]Verified Objective Scoring System – Version 3
Confirms OSS-3 was developed as an independent collaborative project providing open-source computerized polygraph scoring
.

Medical and physiological conditions including cardiovascular disease, respiratory conditions, skin conditions affecting EDA, and certain medications can all influence chart readings. Professional examiners conduct thorough pre-test screening to identify and account for these factors. This comprehensive approach to quality assurance ensures that examiner training directly impacts polygraph accuracy.

Computer-assisted scoring provides an additional layer of quality assurance by offering objective second opinions on chart data. The integration of both human and algorithmic analysis represents the modern standard of forensic psychophysiology — a hybrid approach that combines the pattern recognition skills of experienced examiners with the mathematical precision of validated algorithms.

Pros

  • Multi-channel recording provides converging evidence from independent physiological systems, strengthening diagnostic confidence
  • Validated numerical scoring systems (7-position and 3-position) provide structured, reproducible analysis frameworks
  • Computer-assisted algorithms like OSS-3, PolyScore, ESS, and CPS reduce subjective bias and achieve accuracy equaling or exceeding human scorers
  • Modern digital instruments offer data replay, artifact detection, and multimedia synchronization for thorough quality assurance
  • APA meta-analytic research demonstrates 89% accuracy for single-issue diagnostic techniques with validated protocols
  • Movement sensors provide effective detection of physical countermeasure attempts
  • Multiple chart collections (3-5 per exam) ensure response pattern consistency and reproducibility

Cons

  • Chart interpretation requires extensive specialized training from accredited programs — untrained scoring produces unreliable results
  • Medical conditions and certain medications can affect physiological baselines, requiring careful pre-test screening
  • Numerical scoring thresholds vary by technique, requiring examiners to apply the correct cutscores for each specific protocol
  • Computer algorithms perform best when trained on large, representative datasets — small or unrepresentative training data can limit accuracy
  • Inter-rater reliability for human scoring, while acceptable, is not perfect (Fleiss' kappa typically around.59-.61), making computer verification valuable

Frequently Asked Questions

What do DI, NDI, and INC mean on a polygraph result?

These are the three standard opinions an examiner can reach. DI means deception indicated, NDI means no deception indicated, and INC means inconclusive. The examiner reaches one of these by scoring the physiological responses on the charts, not by making a subjective judgment about the person.

Why might a polygraph chart come back inconclusive?

An inconclusive result means the data did not clearly point to truthfulness or deception. This can happen for several reasons, including heightened general arousal, inconsistent responding, certain medical conditions, or strong anxiety. In many cases the examination can be rescheduled and repeated to obtain clearer charts.

How is a polygraph chart turned into a final decision?

Examiners assign numerical scores at each relevant question, always comparing it to its paired comparison question rather than judging it alone. These scores are summed across all charts, then compared against established cutoff thresholds. The total relative to those thresholds determines the deception, no-deception, or inconclusive opinion.

What are the main channels recorded on a polygraph chart?

A standard polygraph chart records four or more channels simultaneously: two pneumograph channels (thoracic and abdominal respiration), an electrodermal activity (EDA/GSR) channel measuring skin conductance, a cardiograph channel measuring cardiovascular activity, and a movement sensor channel detecting physical countermeasures. The APA Standards of Practice require that respiration patterns be recorded separately for thoracic and abdominal channels.

How accurate is polygraph chart analysis according to research?

The APA's 2011 meta-analytic survey, which analyzed 38 studies involving 3,723 examinations, found that event-specific (single-issue) diagnostic techniques produced an aggregated decision accuracy of 89% with an 11% inconclusive rate. Multiple-issue techniques produced 85% accuracy. The combination of all validated techniques produced 87% overall accuracy. Controlled studies using standardized techniques have reported accuracy rates between 83% and 95%.

What is the 7-position scoring scale in polygraph testing?

The 7-position scoring scale assigns integer values from -3 to +3 for each channel at each relevant-comparison question pair. Positive scores indicate greater responding to comparison questions (suggesting truthfulness), negative scores indicate greater responding to relevant questions (suggesting deception), and zero indicates equal or no distinguishable difference. Scores are summed across all channels and chart collections to produce a grand total, which is compared against numerical cutscores to render a final decision.

What is the difference between the OSS-3 and PolyScore algorithms?

PolyScore was developed by the Johns Hopkins University Applied Physics Laboratory and uses logistic regression and neural network models to estimate deception probability from raw digitized signals. OSS-3 was developed as an independent collaborative project by Raymond Nelson, Mark Handler, and Donald Krapohl, and uses ratio-based measurements derived from 'Kircher features' to provide objective scoring. OSS-3 is open-source and can be implemented without cost by polygraph equipment manufacturers, while PolyScore is proprietary.

Why does a polygraph examination include multiple chart collections?

A single polygraph examination typically produces 3-5 chart collections, with the same questions asked each time. This repetition is essential because it allows the examiner to observe whether physiological response patterns are consistent and reproducible across presentations. Consistent patterns across multiple chart collections provide much stronger evidence than a single presentation, helping distinguish genuine autonomic responses from random physiological variation.

How fast did analog polygraph paper move, and how does that compare to digital systems?

Analog polygraph chart paper moved at standard speeds of either 6 or 12 inches per minute, with 6 inches per minute being the most common setting. The paper was rolled graph paper composed of 12 divisions per 60-second run. Modern digital polygraph systems have replaced paper with high-resolution digital recording, with systems like the Lafayette ParagonX achieving 625 samples per second per channel — providing far greater signal resolution than was possible with analog instruments.

What is the electrodermal activity channel and why is it considered the most important?

The electrodermal activity (EDA) channel measures changes in skin electrical conductance caused by sweat gland activity on the fingertips. Research consistently shows that the EDA component provides the greatest contribution to diagnostic accuracy in comparison question tests. Handler, Nelson, Krapohl, and Honts (2010) described the electrodermal response as 'the most robust and informative' of all polygraph signals. The eccrine sweat glands respond primarily to emotional and psychological stimuli rather than physical activity.

Can polygraph charts detect countermeasure attempts?

Yes. Modern polygraph instruments include movement sensors (seat activity sensors) that detect physical countermeasures such as muscle clenching, toe pressing, or subtle body movements. Having dual pneumograph channels helps identify respiratory manipulation, as discrepancies between thoracic and abdominal breathing can reveal deliberate breathing control. Computer algorithms like OSS-3 include a test of proportions that can statistically distinguish systematic countermeasure patterns from random artifacts.

What training is required to read and score polygraph charts?

Reading and scoring polygraph charts requires completion of an APA-accredited polygraph school program, which provides foundational education in psychophysiology, testing techniques, data collection, and data analysis. The APA Standards of Practice further require that practicing examiners complete a minimum of 30 continuing education hours every two years. Many examiners also pursue additional specialized certification, such as PCSOT certification for sex offender testing.

Sources & References

1

Confirms CQT is the most commonly used forensic polygraph technique and examines practical polygraph applications in law enforcement

2
The Utah Numerical Scoring System
Bruce G. Bell, David C. Raskin, Charles R. Honts, John C. Kircher (1999) — Polygraph
Verified

Confirms the 7-position scoring scale ranges from +3 to -3 for each physiological channel

3

Confirms computerized evaluations achieved accuracy of at least 90%, equaling or exceeding human scorers

4
Meta-Analytic Survey of Criterion Accuracy of Validated Polygraph Techniques
American Polygraph Association (2011) — American Polygraph Association
Verified

Confirms 89% accuracy for single-issue diagnostic techniques, 85% for multi-issue, and 87% combined across all validated techniques

5
APA Standards of Practice (Adopted August 28, 2022)
American Polygraph Association (2022) — American Polygraph Association
Verified

Confirms APA requirements for validated techniques, minimum 20-second question intervals, dual pneumographs, and seat activity sensors

6
Fundamentals of Polygraph Practice
Donald J. Krapohl, Pamela K. Shaw (2015) — Academic Press / Elsevier
Verified

Comprehensive reference covering psychophysiology, data collection, testing techniques, and data analysis for polygraph practice

7

Confirms PCA and PLS methods successfully analyze multi-channel polygraph data to assess biophysical characteristics

8
Cardiovascular and Respiratory Factors Affecting Polygraph Recordings
British Polygraph Society (2025) — British Polygraph Society
Verified

Confirms the cardio cuff is typically inflated to 60-70 mmHg during polygraph examinations

9
An EDA Primer for Polygraph Examiners
Mark Handler, Raymond Nelson, Donald Krapohl, Charles R. Honts (2010) — Polygraph
Verified

Confirms the electrodermal response is the most robust and informative signal in polygraph testing, published in Polygraph 39(2), 68-108

10
Lafayette Instrument Company Acquires Limestone Technologies
Lafayette Instrument Company (2022) — Lafayette Instrument Company
Verified

Confirms Limestone Technologies became a subsidiary of Lafayette Instrument Company in August 2022

11
Unpacking the Best Polygraph Manufacturers: Axciton, Lafayette, Stoelting and Limestone
LieDetectorTest.com (2024) — LieDetectorTest.com
Verified

Confirms Axciton's Motion Sensor Pad uses piezoelectric technology for countermeasure detection

12

Confirms the Empirical Scoring System validated across 732 confirmed examinations scored by 140 examiners in 16 cohorts

13
Evaluating Polygraph Data
Aleksandra Slavkovic (2003) — Carnegie Mellon University Technical Report
Verified

Confirms ±6 grand total cutscores for the 7-position model and that PolyScore was developed at JHU-APL for use with Axciton and Lafayette instruments

14
PDD Terminology Reference for the Science of Psychophysiological Detection of Deception
American Polygraph Association (2022) — American Polygraph Association
Verified

Confirms the 7-position scale ranges from -3 to +3 and is loosely based on psychometric scales by Rensis Likert

15
LXEdge Settings and Scoring Reference
Lafayette Instrument Company (2024) — Lafayette Instrument Company
Verified

Confirms details of Grand Total Rule, Subtotal Score Rule, Two-Stage Rule, and statistical vs traditional cutscores in Lafayette software

16

Confirms the two-stage scoring approach reduces inconclusive rates while maintaining decision accuracy, adopted widely in federal practice

17
APA Policy for Continuing Education Hours
American Polygraph Association (2024) — American Polygraph Association
Verified

Confirms practicing examiners must complete a minimum of 30 continuing education hours every two years

18
Comparison of Utah and DoDPI Scoring Accuracy
Stuart M. Senter (2000) — DoDPI Research Reports
Verified

Confirms that when decision rules, chart number, and channels are equated, DoDPI and Utah scorers show no significant differences in accuracy

19
Appendix F: Computerized Scoring of Polygraph Data (The Polygraph and Lie Detection)
National Research Council (2003) — National Academies Press
Verified

Confirms PolyScore was developed by JHU-APL, CPS by University of Utah, and details of how computerized scoring systems function

20
PolyScore for Windows
Johns Hopkins University Applied Physics Laboratory (2024) — JHU-APL Software
Verified

Confirms PolyScore was developed by The Johns Hopkins University Applied Physics Laboratory for polygraph scoring

21
Objective Scoring System – Version 3
Raymond Nelson, Mark Handler, Donald Krapohl (2008) — OSS-3 Project
Verified

Confirms OSS-3 was developed as an independent collaborative project providing open-source computerized polygraph scoring

22
Objective Scoring System (OSS) Definition
British Polygraph Society (2022) — British Polygraph Society
Verified

Confirms OSS is a form of 7-position scoring using ratios from Kircher features, and that OSS-3 was created by Nelson, Krapohl & Handler

23
Brute-Force Comparison: A Monte Carlo Study of OSS-3 and Human Polygraph Scorers
Raymond Nelson, Mark Handler, Donald Krapohl (2015) — Polygraph
Verified

Confirms OSS-3 accuracy exceeded the average decision accuracy of 10 human scorers on six dimensions of accuracy

24

Confirms ESS component weighting achieved superior diagnostic extraction compared to simpler three-position scoring models

25

Confirms DNN-based algorithm outperformed both PolyScore and OSS-3 on test data by accounting for bio-signal nonlinearity

26
Polygraph Components: Kymograph and Chart Drive
Bulacan State University (2024) — Academic Lecture Notes
Verified

Confirms analog polygraph chart paper traveled at the rate of 6 to 12 inches per minute

27
Keeler Polygraph Model 302 Historical Reference
Saint Louis College (2023) — Academic Reference
Verified

Confirms the Keeler Polygraph chart drive was powered by a synchronous motor at speeds of either six or twelve inches per minute

28
Major Polygraph Manufacturers Reference
Pagadian Capitol College (2023) — Academic Reference
Verified

Confirms the major polygraph manufacturers are Lafayette, Limestone, Axciton and Stoelting

29
Polygraph Pro Suite Software
Lafayette Instrument Company (2024) — Lafayette Instrument Company
Verified

Confirms ChartSync utility for synchronizing video, audio and chart data in Limestone/Lafayette software

30
ParagonX Polygraph System
Lafayette Instrument Company (2024) — Lafayette Instrument Company
Verified

Confirms ParagonX achieves 625 samples per second per channel — the highest sampling rate in any polygraph instrument

31

Confirms fMRI research can advance understanding of neural mechanisms underlying polygraph responses

32

Confirms polygraph has practical value in law enforcement, particularly for eliciting confessions and admissions

33
A Comprehensive Meta-Analysis of the Comparison Question Polygraph Test
Charles R. Honts, et al. (2021) — Applied Cognitive Psychology
Verified

Confirms CQT discriminates truth tellers from liars with a large effect size (rdec =.694) across comprehensive meta-analysis

34
Beyond the Polygraph: Deception Detection and the Autonomic Nervous System
Glen Cook, Charles Mitschow (2019) — Federal Practitioner
Verified

Confirms some studies have shown accuracy rates between 83% and 95% in controlled settings using standardized CQT techniques

35

Confirms strong discrimination between informed and uninformed examinees in Concealed Information Test research

36
Modern Algorithms in Polygraph Data Analysis
British Polygraph Society (2026) — British Polygraph Society
Verified

Confirms OSS-3 and PolyScore have demonstrated accuracy rates between 85-92% under laboratory conditions and describes hybrid computer-human analysis as the modern standard

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