PEAK PERFORMANCEDays to result

The Bodyfat Measurement Framework

Measure bodyfat accurately

Problem it solves

Individuals struggling to achieve sustainable improvements in health and wellbeing because they focus on isolated interventions rather than integrated lifestyle systems.

Best for

individuals seeking to track bodyfat percentage

Not ideal for

those who are not motivated to track their progress

Overview

Why this framework exists

The Bodyfat Measurement Framework provides a structured approach to measuring bodyfat percentage. It highlights the importance of using accurate and reliable methods, such as DEXA, BodPod, or ultrasound, and provides guidelines for choosing the best tool and scheduling a session.

Core principles

3 total
  1. Use accurate and reliable methods to measure bodyfat percentage
  2. Choose the best tool based on individual needs and preferences
  3. Schedule regular sessions to track progress

Steps

3 steps
  1. Take 'before' circumference measurements
    Measure four locations: upper arms, waist, hips, and legs, and total these numbers to arrive at Total Inches (TI)
    Pro tipUse a simple tape measure and record the measurements
    WarningInconsistent measurement techniques can lead to inaccurate results
  2. Estimate bodyfat percentage
    Use the 'Eyeballing It' sidebar or pictures to estimate current bodyfat percentage
    Pro tipUse the guidelines provided to estimate bodyfat percentage
    WarningInaccurate estimation can lead to unrealistic goals
  3. Choose the best tool and schedule a session
    Select the most suitable tool based on individual needs and preferences, and schedule a session
    Pro tipConsider cost, convenience, and accuracy when choosing a tool
    WarningInconsistent use of tools can lead to inaccurate results

Checklist

Saved in your browser

Examples

1 cases
Trevor's story

Trevor used the Bodyfat Measurement Framework to track his progress and achieved significant weight loss

OutcomeTrevor lost over 40 pounds and improved his overall health

Common mistakes

3 traps
Comparing results from different tools
Results from different tools cannot be compared, as they may have different error ranges and methodologies
Not using consistent hydration levels when using bio-impedance
Inconsistent hydration levels can affect the accuracy of bio-impedance measurements
Not using a consistent algorithm when using calipers
Inconsistent algorithms can lead to inaccurate results when using calipers

Origin story

How this framework came to be

The framework was developed by Timothy Ferriss, who experimented with various bodyfat measurement techniques and identified the most accurate and reliable methods.

Source

Traced to primary
Source · BOOK
The 4-Hour Body An Uncommon Guide to Rapid Fat-Loss
Timothy Ferriss · 2010
Open source →