Quantified Self

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Industry Context — Common BS Fingerprints in Social Networks, Communities & Forums

Generic Claims: join the conversation, connecting people worldwide, the community for, your voice matters here…

Red Flags: privacy claims contradicted by terms of service, no content moderation or safety policies, user numbers that cannot be verified, decentralized claims with centralized control…

Semantic Drift Patterns: claims privacy-first but terms allow extensive data collection, claims ad-free but monetizes through data or sponsored content, claims community-driven but governance is centralized, claims safe space but no visible content moderation policies…

Proof Expectations: published community guidelines and enforcement data, transparency reports on content moderation, privacy policy with specific data handling details, user count with third-party verification or app store data…

(https://quantifiedself.com) 📸 Data Snapshot: May 24, 2026

Analyze the raw signals below. How would a machine score this business’s credibility?

Here are the exact signals captured from up to six pages of the site — the same raw inputs the evaluation engine analyzed. They are grouped by signal type so you can weigh each the way the machine does.

🏗️ Semantic Structure — heading hierarchy & page identity (Info Density · Commodity Fingerprint)

HOMEPAGE Homepage – Quantified Self (https://quantifiedself.com)

Title

Homepage – Quantified Self

H1 New Show&Tell Event: Tracking Blood Glucose

H2 The Keating Memorial Self Research Group

H2 Get Started

H2 Forum

H2 Show & Tell

H2 Blog

H2 The Keating Memorial Self Research Group

H2 Astronauts

H3 Please join us for an hour of short "QS Show&Tell" talks about diet and metabolic discoveries using personal science. This session will focus on minimally invasive blood glucose monitor and meal and activity tracking with Nutrisense.

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

H5 Quantified Self supports every person's right and ability to learn from their own data. We're committed to accuracy, independence, inclusiveness, and transparency in all of our work.

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

H6 See all

HEADING_REPEATED_BODY The Keating Memorial Self Research Group – Quantified Self (https://quantifiedself.com/blog/the-keating-memorial-self-research-group/)

Title

The Keating Memorial Self Research Group – Quantified Self

H1 The Keating Memorial Self Research Group

H2 CGM Show&Tell June 13 2023

H2 New Show&Tell Event: Tracking Blood Glucose

H2 Astronauts

H4 Gary Wolf

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

H5 February 6, 2021

H5 June 13, 2023

H5 May 31, 2023

H5 February 23, 2023

H5 Quantified Self supports every person's right and ability to learn from their own data. We're committed to accuracy, independence, inclusiveness, and transparency in all of our work.

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

NAV_HEADER_HEADING_REPEATED_BODY_FOOTER Get Started – Quantified Self (https://quantifiedself.com/get-started/)

Title

Get Started – Quantified Self

H1 Get Started

H2 Questioning

H2 Observing

H2 Reasoning

H2 Consolidating Insight

H4 Deciding What To Observe

H4 Recording Your Observations

H4 Securing Access To Your Observations

H4 Help With Tools

H4 Create a Baseline

H4 Use a Timeline

H4 Retrospective Annotation

H4 “What Did You Do? How Did You Do It? What Did You Learn?”

H4 Be an honest reporter

H4 Resist the urge to generalize

H4 Value good questions and stay in touch

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

H5 Quantified Self supports every person's right and ability to learn from their own data. We're committed to accuracy, independence, inclusiveness, and transparency in all of our work.

H5 About

H5 Get Started

H5 Show&Tell

H5 Blog

H5 Events

H5 Forum

NAV_HEADER_HEADING_REPEATED_BODY_FOOTER Show & Tell Projects Archive – Quantified Self (https://quantifiedself.com/show-and-tell/)

Title

Show & Tell Projects Archive – Quantified Self

H1 Show&Tell

H2 Consolidating Gadgets

H2 Tracking What I Do Versus What I Say I'll Do

H2 What I'm Learning From My Meditation App

H2 My Blood Values From Diet And Other Activities

H2 Blood Oxygen On Mt. Everest

H2 #100daysofqs: Daily Art From Data

H2 Using Running And Cycling Data To Inform My Fashion

H2 Three Marathons On Zero Calories

H2 Which Grasses Aggravate My Allergies?

H2 Tracking Glucose As A Person Without Diabetes

H2 How Work Distractions Affect My Focus

H2 Cholesterol Levels While Nursing

H2 To Teach Quantified Self, First Know Thyself

H2 Running Storytelling

H2 Separating Work And Home

H2 Does My Stomach Anticipate My Meals?

H2 Tracking Breathing To Control My Focus

H2 Quantifying My Phd: Pomodoros And Productivity

H2 Learning An Impossible Form Of Exercise

H2 What Insidetracker Taught Me About My Five-Day Fast

H2 Tracking My Personal Reliability

H2 A Self-Study Of My Child's Genetic Risk

H2 Ten Years Of Tracking My Location

H2 Tracking Across Generations

H2 Quantifying The Effects Of Microaggressions

H2 My Headaches From Tracking Headaches

H2 Building My External Brain

H2 Finding The Optimal Training Zone

H2 Estrogen And Invention

H2 A Decade Of Tracking Headaches

H2 My Biological Rhythms In Sickness And In Health

H2 Learning From Excuses

H2 Improving Skin Health

H2 Normalizing Blood Pressure by Improving Fitness

H2 To Sleep-Perchance To Remember

H2 Tracking My Sleep And Resting Heart Rate

H2 Physiological measurements at classical concerts

H2 Memomics And Longevity

H2 Lessons From the Gray Zone Between QS and CBT

H2 Self Experimentation

H2 Using IOT for Motivation

H2 Tracking Symptoms

H2 Self Knowledge Through Textile-Based Sensing

H2 The Arithmetic of Life

H2 Measuring Exhaustion and Readiness

H2 Long Run Quantification

H2 Self-Monitoring and Cancer Survivorship

H2 Past Present Future

H2 Managing Type 1 Diabetes

H2 Salt & Carb

H2 Spaced Repetition: A Cognitive QS Method for Knowledge Acquisition

H2 Brain Optimization

H2 The Effects of a Year in Ketosis

H2 Continuous Glucose Measurement

H2 Does Biofeedback Help Improve Focus And Meditation?

H2 When Anxiety Knocks

H2 The Great Book Project of 2013

H2 Stressing Out Loud

H2 Four Weeks Of Blood Sugar Tracking

H2 Memorizing My Daybook

H2 Reverse Mood Tracking

H2 What Causes my Heart Rhythm Disorder?

H2 Where There's Data There's Hope

H2 Leaning into Grief

H2 Tracking my Son's Diabetes

H2 Experiments In Treating My Crohn's Disease

H2 Tracking Happiness

H2 We Are Not Waiting

H2 Physiological measurements at classical concerts

H2 Breaking the TV Habit

H2 Quantified Brain and Music for Self-Tuning

H2 The Data Is In, I'm a Distracted Driver

H2 Draw a Face a Day

H2 Finding My Optimum Reading Speed

H2 Know Thy Cycle, Know Thyself

H2 Spaced Listening

H2 Crying

H2 Hot Stuff: Body Temperature And Ovulatory Cycles

H2 Taking On My Osteoporosis

H2 My Health Scars

H2 Tracking Productivity For Personal Growth

H2 What If My Life Was The Economy Of A Small Country?

H2 Balancing Neurotransmitters In Neurological Illness

H2 Seeing My Data In 3d

H2 My Numbers Sucked But I Made This Baby Anyway

H2 Over-Instrumented Running: What I Learned From Doing Too Much

H2 Mindfulness, Technology, and Me

H2 Butterfly Project: Swimming Goggles To Measure Heart Rate

H2 Weight Loss Through Embodied Learning

H2 Tracking my Bruxism

H2 Putting My Blood Metrics in Context

H2 Owning My Quantified Self Data

H2 Overthinking Everything I Own

H2 Sleep As A Galaxy

H2 Diabetes Viz

H2 Felt Routines

H2 Understanding Fitness With Muscle Activation Data

H2 The Dashboard Of My Life

H2 My Phone Use Data

H2 Measuring And Predicting Daily Satisfaction

H2 A Life Of Fractals

H2 Can A Picture Be Worth A Thousand Numbers

H2 Mindtrack

H2 Setting Goals And Holding Myself To Account

H2 Blood Ketones During Regular Fasting

H2 How Much Carbon Dioxide Do I Emit?

H2 High-Frequency Blood Glucose Testing

H2 Sub-Perceptual Psilocybin Dosing

H2 Improving My Blood Pressure With Anaerobic Interval Training

H2 How Food Tracking Supported Becoming a Vegetarian

H2 Fish Oil Makes Me Smarter

H2 Repairing My Gut After Travel

H2 Quantifying with Kids

H2 Using Heart Rate Variability to Analyze Stress in Conversation

H2 What's My Indoor Environment Like?

H2 Measuring My Blood Glucose

H2 Concussions, Headaches and the Whole30 Elimination Diet

H2 Re-Living My Life with Mood Tracking

H2 How I Zapped My Brain With A 9v Battery To Overcome Analysis Paralysis

H2 Improving Mental Focus Through Lifelogging

H2 How Much Does it Cost Me To Choose Organic/Local Food?

H2 Using Self-Tracking to Hack Musculoskeletal Pain

H2 A Year In Running

H2 Dreaming in Numbers

H2 Logging My Beer

H2 My Life In 40 Variables

H2 My Spreadsheet from Hell

H2 Effect of Ketogenic Diet On Heart Rate Variability

H2 17 Years of Location Tracking

H2 Blood vs. Breath

H2 Can't You See I Was Falling In Love

H2 Project Faster: Tracking to Improve Cycling Performance

H2 How My Life Automation System Quantifies My Life

H2 28 Years of Tracking, But What Have I Learned?

H2 Tracking After A Stroke: Doctors, Dogs, And All The Rest

H2 What I learned From Extensive Morning Tracking

H2 Building Myself Back Up

H2 Learning about Biases and Gaps in my Self-Collected Data

H2 Extreme Productivity

H2 Tracking and Improving My Sleep

H2 The Art of Self-Tracking

H2 Lies, Damn Lies, and Correlations

H2 Celiac Discovery: Regaining My Health and Well-Being

H2 Meta-Effects of Happiness Tracking

H2 A Testosterone and Diet Experiment

H2 Memory and Learning

H2 Grandma Was A Lifelogger

H2 ECG and Activity Monitoring: What Can We Learn?

H2 Data Cartography: The Journey to Existence Mapping

H2 A Photo Every Minute: One Year Later

H2 Tracking 10,000 Running Miles Over 10 Years

H2 How I Lost 200 Lbs.

H2 A 30 Day Trial of the Slow Carb Diet

H2 Hacking Habits

H2 Low Friction Personal Data Collection

H2 We Never Fight on Wednesday

H2 Tracking my Blood Anticoagulation Drug

H2 100 Days of Summer

H2 Can a 5’7” Person Learn to Dunk a Basketball?

H2 Carbless in Seattle

H2 A Million Heartbeats

H2 A Librarian in Numbers

H2 Life in the Fast Lane: Learning from Vitals

H2 An “Unknown and Incurable Illness”

H2 Tinké: Monitoring Fitness Levels and Relaxation Indexes

H2 Washing My Eyelids

H2 How Not to Fall

H2 A Four-Year Journal

H2 A Goal For Each Month

H2 2 years of tracking weight diet and sleep

H2 Optimizing Productivity

H2 Connecting my Mind and Body

H2 Tracking Media Consumption

H2 Running Cold – Does it Burn More Calories?

H2 50,000 Observations Later

H2 Tracking (and Hacking) My Glucose

H2 A Year of Diabetes Data

H2 How Six Months of Tracking Everything Increased my Awareness

H2 8,000 Screen Hours

H2 Landmines & Zombies

H2 Me and My Log

H2 A Lazy Workout

H2 Solving A Food Allergy Mystery

H2 Three Years of Logging my Inbox

H2 Does Diet Affect My Sleep?

H2 Fit 50s, Sound 60s

H2 Science, Smell, Fashion

H2 Analyzing My Weight and Sleep

H2 Deciphering My Brain Fog

H2 Goalmap: All Your Life Goals In One Place

H2 Quantified/Unquantified

H2 High Carbohydrate Diet

H2 Data Exploration With Fluxtream/BodyTrack

H2 30 Days of Rejection Therapy

H2 What I Learned By Building

H2 Long-term Nutrient Logging and Systematic Analysis

H2 Keeping Track Of My Personal Development

H2 Personal Comfort

H2 Tracking Ketones

H2 Tracking Pregnancy and Baby Growth

H2 My Road to Optimal Health and Lifespan

H2 Exercise: Data-Driven Decisions

H2 Quantifying My Mental and Experiential State

H2 Focusing on Life with an Open-Source Artificial Pancreas

H2 Words for Mood Measurement

H2 Productivity and Performance in College

H2 Managing My Time with A Dashboard View

H2 Using Big Data to Manage Health

H2 Do Probiotics Affect My Gut?

H2 Fight For Your Right To Recess

H2 Cholesterol Variability: Hours, Days, And My Ovulatory Cycle

H2 Weight and exercise tracking with the Hacker Diet

H2 How I use RescueTime

H2 Arterial Stiffness

H2 Feedback and awareness: form Paleo to creativity

H2 The Human Face of Big Data

H2 Decisions and Experimentation in the Quantified Self

H2 Valerie Aurora on Tracking Street Harassment

H2 Sleep and Food: an experiment in progress

H2 Social Studies

H2 Naming the Demon

H2 Debugging My Allergy

H2 Experiments in Self-Tracking

H2 My Father, a Quantified Diabetic

H2 For me doing is a form of knowing: triggering my actions with data

H2 Walk All of Manhattan

H2 Measuring the Brain with Inside

H2 A Life of Firsts

H2 Quantifying What To Wear

H2 Tailored Meals

H2 Tracking a Memetic Diet

H2 Tracking over Time

H2 Knowledge Tracking

H2 Why Annual Reporting

H2 My experience with a smartphone brainscanner

H2 A Diabetic's Experiment with Self Quantification

H2 Playing with my Breath

H2 Debugging My Allergy

H2 Hour-Tracking for Priority Optimization

H2 QS Adventures with my Kids

H2 Cartographies of Vigilance

H2 Quantified Curiosity

H2 Sophia (w/ Richard Sachs)

H2 QS Tools for Military Style Training

H2 The Weight of Things Lost

H2 Improving Time Management

H2 input/output

H2 Lessons From Food Tracking

H2 Of Trivial Value? Lessons From Using SuperMemo

H2 New Media Medicine

H2 28 Hour Day

H2 Happsee

H2 Online Activity Aggregation

H2 QS+1: Tracking My Friend's Trading Performance

H2 The Enlightened Consumer

H2 Daily Lipids Testing

H2 Putting Numbers to Sleep

H2 Learning from Gratitude

H2 Memorizing My Days

H2 History and Future of QS Visualization

H2 Heart Rate Variability and Flow

H2 Tracking Baby Milestones: Surprising Results Of Bringing Data To Parenting

H2 Personal Science and Other Things

H2 Cholesterol and My Gut Microbiome

H2 How I Measured This Talk

H2 We Are All Going To Die: How Is Our Digital Life Preserved

H2 Elimination Diet + Functional Medicine

H2 30lbs of Family Visits, Races, and Games

H2 Tracking Oral Anticoagulation Therapy With INR Journal

H2 n=1 Personal Informatics

H2 Work-Life Balance

H2 April Zero and Me

H2 Self Tracking: The Weight of it All

H2 A Quest for High Fidelity Activity Tracking

H2 Data From My Year As A Nomad

H2 Using Self Tracking to Exercise More Efficiently

H2 Every Heart Beat

H2 From April Zero to Gyroscope

H2 Tracking Punctuality

H2 Using Genetics to Come Back From Injury

H2 Learning from Self-Report

H2 How to Live in NYC with Zero Expenses

H2 What Causes My Heart Rhythm Disorder

H2 Why I Weighed My Whiskers

H2 Narratives Hidden in 20 Years of Personal Financial Data

H2 Weight Loss & Muscle Gain w/ Fitbit

H2 Improving My Fitness with Genetics

H2 Daily Well being Tracking as a Couple

H2 Technology for Mindfulness

H2 The Quantified Double Self: A Tale of Twins

H2 Sleep Patterns

H2 Tracking my baby's sleep

H2 How to Win a Food Fight

H2 An open and integrated platform

H2 Tracking with Zenobase

H2 This Is What I Ate

H2 Fitting Mental Models

H2 My Journey with Sleep Monitoring

H2 Visualization of data in a learning and self-reflection context

H2 Diabetes, Databetes & Marathon Training

H2 Exploring and Visualizing Diabetes Data

H2 Moodscope, subjective ratings and body blogging

H2 A mobile biofeedback self-experiment: stress and eating

H2 Panic

H2 Indexer

H2 SenseOS

H2 MyLifeBits

H2 Quantified Self for Preventative Care

H2 Unobtrusive Smart Environments for Monitoring in Everyday Life

H2 Evolving Health

H2 The Pomodoro Recovery

H2 Tales of Weight Tracking

H2 Meditation and Brain Function

H2 How I Hacked My Meditation Practice with My Mobile Phone

H2 Visualizing Physiological Data

H2 Life Logging: Using Spreadsheets

H2 What's New in QS

H2 QS + Paleo = ?

H2 Quantified Self and the London Olympics

H2 Inside Tracker

H2 Tracking Activity, Posture and Time for Increased Health and Productivity

H2 Activity Tracking and Weight Loss: Apps and Gadgets in Practice

H2 Financial Tracking

H2 A Reversed Calendar

H2 Self-Quantification with BodyMedia

H2 2004-2040

H2 Activity Tracking for Teams

H2 Self Tracking Awareness and Change

H2 This Is Your Brain On Bike

H2 The Coffee Experiment

H2 Quantifying Motivation with a Smart Shirt

H2 Tracking and improving my lung function

H2 3D Body Measurement on a Smartphone

H2 A Year Well Sliced-Lessons From My Laptop

H2 Measuring the Moment

H2 Making Sense of My Bio-signals

H2 Tracking infants

H2 New Horizons

H2 Tracking INR

H2 Walking the Talk: How to do QS

H2 Lessons from a year of heart rate data

H2 Experience Sampling of My Stress

H2 Tracking my Parkinson's

H2 Floss the Teeth You Want To Keep

H2 Parkinson's Tracking Update

H2 Crossfit

H2 Burning Body Media

H2 Fitbit: You Had Me at Smooches

H2 Neurologica

H2 Sensing Breath and Air

H2 Understanding My Blood Glucose

H2 Daily Rhythm Tracking w/ Nike+ Fuelband

H2 Six Year Visual Lifelogging

H2 The Future of Wearable Sensors – From Quantifying Behavior to Quantifying Health

H2 Rhythmanalysis

H2 Quantifying the Emotional Self

H2 Quantified Awesome

H2 Data from my iPhone ECG

H2 Tracking My Hearing Loss

H2 Tracking your brain on booze, Boozerlyzer

H2 Achieving the Good Life via Positive Psychology-Based QS

H2 Using Lift

H2 VO2Max

H2 15 Weeks of Self Tracking – 40 Pounds Lost

H2 Tracking Parkinsons & Medication

H2 Quantifying Seat Time

H2 Nasal Breathing Improves Wellbeing

H2 Genes and other strangers

H2 The Nutritional Researchers Cohort

H2 Getting Things Done, Quantified

H2 Quantified Spending: a Blueprint to Make Data-Driven Financial Decisions

H2 Psychological Self-Monitoring for the Military

H2 Self-Experiments With Sleep, Cognition, and Fasting

H3 Get inspiration and ideas from hundreds of self-tracking projects documented in our community archive, searchable by tools and topics.

H4 Eric Jain

H4 Eli Ricker

H4 Alec Rogers

H4 Benjamin Best

H4 Fah Sathirapongsasuti

H4 Lillian Karabaic

H4 Anna Franziska Michel

H4 Mikey Sklar

H4 Thomas Blomseth Christiansen

H4 Justin Lawler

H4 Madison Lukaczyk

H4 Whitney Erin Boesel

H4 Michael Lim

H4 Albara Alohali

H4 Lydia Lutsyshyna

H4 Benjamin Smarr

H4 Shamay Agaron

H4 Maggie Delano

H4 Jessica Ching

H4 Kyrill Potapov

H4 Daniel Reeves

H4 Mad Ball

H4 Aaron Parecki

H4 Aaron Yih

H4 Jordan Clark

H4 Jakob Eg Larsen

H4 Todd Greco

H4 Ralph Pethica

H4 Shara Raqs

H4 Stephen Maher

H4 Azure Grant

H4 Valerie Lanard

H4 Matt Velderman

H4 Siva Raj

H4 Ariel Berwaldt

H4 Jakob Eg Larsen

H4 Elliott Hedman

H4 Stuart Calimport

H4 Michael Kazarnowicz

H4 Mariusz Nowostawski

H4 Charlampos Doukas

H4 Natasha Gajewski

H4 Anne Prahl

H4 David Gordon

H4 Philipp Kalwies

H4 Matthew Beard

H4 Ian Clements

H4 Sara M. Watson

H4 Alex Collins

H4 Winslow Strong

H4 Roger Craig

H4 Ken Snyder

H4 James McCarter

H4 Richard Sprague

H4 Agnieszka Krzemińska

H4 Juliana Chua

H4 Kendra Albert

H4 Steven Jonas

H4 Eric Jain

H4 Steven Jonas

H4 Alan Greene

H4 Mark Drangsholt

H4 Larry Smarr

H4 Dana Greenfield

H4 Vivienne Ming

H4 Ari Meisel

H4 Ashish Mukharji

H4 Dana Lewis

H4 Elliott Hedman

H4 Valerie Lanard

H4 Rocio Chongtay

H4 Robert Macdonell

H4 Ellis Bartholomeus

H4 Kyrill Potapov

H4 Ilyse Magy

H4 Steven Jonas

H4 Robin Weis

H4 Azure Grant

H4 Justin Lawler

H4 Ellis Bartholomeus

H4 Kyrill Potapov

H4 Lillian Karabaic

H4 Sara Riggare

H4 Stephen Cartwright

H4 Whitney Erin Boesel

H4 Thomas Blomseth Christiansen

H4 Charles Wang

H4 Hind Hobeika

H4 Robin Barooah

H4 Peter Kuhar

H4 Gil Blander

H4 Aaron Parecki

H4 Matt Manhattan

H4 Danielle Roberts

H4 Peter Kok

H4 Stephen Fortune

H4 Shelly Jang

H4 David de Souza

H4 Joost Plattel

H4 John Cottongim

H4 Justin Timmer

H4 Laila Zemrani

H4 Tara Thiagarajan

H4 Lee Rogers

H4 Mark Moschel

H4 Björn Hedin

H4 Gary Wolf

H4 Janet Chang

H4 Siva Raj

H4 Jakob Eg Larsen

H4 Richard Sprague

H4 Mark Moschel

H4 Victor Lee

H4 Paul LaFontaine

H4 Bob Troia

H4 Philipp Kalwies

H4 Steven Zhang

H4 Kouris Kalligas

H4 JD Leadam

H4 Justin Lawler

H4 Cara Mae Cirignano

H4 Bryan Ausinheiler

H4 Valera Vasylenko

H4 Damien Catani

H4 Clair Samuel

H4 Justin Timmer

H4 Kathryn McCurdy

H4 Paul LaFontaine

H4 Stephen Cartwright

H4 Robert Ness

H4 Shelly Jang

H4 Steve Dean

H4 Tahl Milburn

H4 Nan Shellabarger

H4 Andreas Schreiber

H4 Peter Joosten

H4 Maggie Delano

H4 Shannon Conners

H4 Bethany Soule

H4 Daniel Gartenberg

H4 Alberto Frigo

H4 Eric Jain

H4 Katrina Rodzon

H4 Alex Tarling

H4 Maximilian Gotzler

H4 Steven Jonas

H4 Kitty Ireland

H4 Maggie Delano

H4 Chris Dancy

H4 Rob Shields

H4 Julie Price

H4 Richard Harrison

H4 Dan Dascalescu

H4 Mark Leavitt

H4 Aaron Parecki

H4 Paul LaFontaine

H4 Robert Rothfarb

H4 Konstantin Augemberg

H4 Mark Moschel

H4 Adrienne Andrew Slaughter

H4 Crt Ahlin

H4 Debbie Chaves

H4 Stephen Zadig

H4 Damien Blenkinsopp

H4 Juliana Chua

H4 Steve Dean

H4 Sara Riggare

H4 Morris Villarroel

H4 Florian Schumacher

H4 Randy Sargent

H4 Brian Crain

H4 Juliana Chua

H4 Ian Forrester

H4 Nick Alexander

H4 Thomas Blomseth Christiansen

H4 Bob Troia

H4 Doug Kanter

H4 David El Achkar

H4 Robert Macdonell

H4 Chris Bartley

H4 Cathal Gurrin

H4 Justin Timmer

H4 Suzanne Lueder

H4 Mark Wilson

H4 Denise Lorenz

H4 Maria Benet

H4 Jenny Tillotson

H4 Kouris Kalligas

H4 Mark Drangsholt

H4 Damien Catani

H4 Nancy Dougherty

H4 Greg Pomerantz

H4 Anne Wright

H4 Mark Moschel

H4 Dawn Nafus

H4 Alan Gale

H4 Juvoni Beckford

H4 Stefano Schiavon

H4 Mark Moschel

H4 Erica Forzani

H4 Michael Lustgarten

H4 Laila Zemrani

H4 Tahl Milburn

H4 Erzsi Szilagyi

H4 Jon Cousins

H4 Tiffany Qi

H4 Eric Mann

H4 Michael Snyder

H4 Karl Heilbron

H4 Cantor Soule-Reeves

H4 Whitney Erin Boesel

H4 Jodi Schneider

H4 Buster Benson

H4 Renate Zwijsen

H4 Marco van Heerde

H4 Rick Smolan

H4 Ian Eslick

H4 Valerie Aurora

H4 Tim Vink

H4 Eri Gentry

H4 David Goldstein

H4 Thomas Blomseth Christiansen

H4 Laurie Frick

H4 Stefan Hoevenaar

H4 Denis Harscoat

H4 Alastair Tse

H4 Adam Laughlin

H4 James Norris

H4 Andrew Paulus

H4 Jason Langheier

H4 Robert DeSaulniers

H4 Steve Dean

H4 Roger Craig

H4 Lee Rogers

H4 Jakob Eg Larsen

H4 Brooks Kincaid

H4 Olivier Janin

H4 Thomas Blomseth Christiansen

H4 Catherine Hooper

H4 Bill Schuller

H4 Josh Berson

H4 Amy Robinson

H4 Karen Herzog

H4 Troy Angrignon

H4 Kaiton Williams

H4 Ryan Floyd

H4 Robert Carlsen

H4 Sara Cambridge

H4 Steven Jonas

H4 John Moore

H4 Joe Betts-LaCroix

H4 Vik Paruchuri

H4 Beau Gunderson

H4 Ewart de Visser

H4 Natty Hoffman

H4 Aaron Rowe

H4 Maria Benet

H4 Dan Armstrong

H4 Steven Jonas

H4 Indhira Rojas

H4 Paul LaFontaine

H4 Morgan Friedman

H4 Ian Eslick

H4 Richard Sprague

H4 Bill Schuller

H4 Mark Krynsky

H4 Eric Green

H4 Julie Price

H4 Robert Rothfarb

H4 Shaun Wallace

H4 Laurie Dillon-Schalk

H4 Anand Sharma

H4 Melinda Watman

H4 Jamie Williams

H4 Mark Moschel

H4 Laila Zemrani

H4 Gordon Bell

H4 Anand Sharma

H4 Sebastien Le Tuan

H4 Ralph Pethica

H4 Brian Levine

H4 Steve Dean

H4 Mark Drangsholt

H4 Jon Cousins

H4 Peter Torelli

H4 Rob Portil

H4 Ralph Pethica

H4 Jon Cousins

H4 Nancy Dougherty

H4 Rosane Oliveira

H4 Laurie Frick

H4 Yasmin Lucero

H4 Tone Fonseca

H4 Daniel Nofal

H4 Eric Jain

H4 Ellis Bartholomeus

H4 Joost Plattel

H4 Christel de Maeyer

H4 Jose Luis Santos

H4 Doug Kanter

H4 Jana Beck

H4 Ute Kreplin

H4 Georgios Papastefanou

H4 Evan Savage

H4 Indhira Rojas

H4 Joris Janssen

H4 Gordon Bell

H4 Daniel Rinehart

H4 Homer Papadopoulos

H4 Joshua Manley

H4 Mette Dyhrberg

H4 Lisa Betts-LaCroix

H4 Peter Lewis

H4 Carlos Rizo

H4 Rain Ashford

H4 Phil von Stade

H4 Richard Sprague

H4 Seth Roberts

H4 Sky Christopherson

H4 Daniel Gartenberg

H4 Florian Schumacher

H4 Arne Tensfeldt

H4 Rose Delgado

H4 Danielle Roberts

H4 Jonny Farringdon

H4 Alberto Frigo

H4 Joost Plattel

H4 Charles Wang

H4 Arlene Ducao

H4 Robin Barooah

H4 Kirill Gertman

H4 Christian Kleinedam

H4 Eleanor Watson

H4 Stan James

H4 Ajay Chander

H4 Fu-Chieh Hsu

H4 Ben Blench

H4 Bruno van den Elshout

H4 Robert Rothfarb

H4 Richard Ryan

H4 Kiel Gilleade

H4 Ulrich Atz

H4 Kevin Krejci

H4 Nick Crocker

H4 Kevin Krejci

H4 Kai Chang

H4 Greg Schwartz

H4 Colette Ellis

H4 Arend Visser

H4 Erica Forzani

H4 Bob Troia

H4 Eric Boyd

H4 Cathal Gurrin

H4 Marco Altini

H4 Kiel Gilleade

H4 Su Hyun Kim

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H5 Quantified Self supports every person's right and ability to learn from their own data. We're committed to accuracy, independence, inclusiveness, and transparency in all of our work.

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📝 The Narrative — clean text per page (Info Density · Semantic Coherence)

HOMEPAGE (https://quantifiedself.com) Homepage – Quantified Self

[H2] The Keating Memorial Self Research Group
Would you like to get help with your self-research project from an active, experienced group of peers? You’re invited to join the Keating Memorial Self Research group. We meet every Thursday at 10am Pacific time. You can find the agenda, notes & links in the full post.

[H1] New Show&Tell Event: Tracking Blood Glucose

[H3] Please join us for an hour of short "QS Show&Tell" talks about diet and metabolic discoveries using personal science. This session will focus on minimally invasive blood glucose monitor and meal and activity tracking with Nutrisense.

[H2] Get Started
Do you want to start a self-tracking project? Here are some tips.

[H2] Forum
Post your questions and share your knowledge.

[H2] Show & Tell
Self tracking projects from our community archive.

[H2] Blog
Thinking about everyday science.

[H2] The Keating Memorial Self Research Group
Would you like to get help with your self-research project from an active, experienced group of peers? You’re invited to join the Keating Memorial Self Research group. We meet every Thursday at 10am Pacific time. You can find the agenda, notes & links in the full post.

[H2] Astronauts
We The Scientists, a new book by Amy Dockser Marcus, tells the story of a group of families who force research attention on a rare disease

[H1] Events

[H6] See all

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SUB-PAGE (https://quantifiedself.com/blog/the-keating-memorial-self-research-group/) The Keating Memorial Self Research Group – Quantified Self

[H1] The Keating Memorial Self Research Group

Steven Keating
Image: Tony Pulsone
[H4] Gary Wolf

[H5] February 6, 2021

Would you like to get help with your self-research project from an active, experienced group of peers? You’re invited to join the Keating Memorial Self Research group, in which we share and discuss our self-research projects and support each other in our efforts. We were inspired by Steven’s pioneering self-research to try to make it easier for everybody to learn about themselves using their own capacity for empirical observation.
This is an opportunity to try self-research for the first time – or to pursue a project you already have – by doing it with a small group of people who have diverse skills, lots of experience, and a desire to support you. The chat is organized in partnership with our longtime collaborators at Open Humans.
We meet every Thursday at 10am Pacific time. You can find the agenda, notes & links to the Zoom room in our continuous notes-document. We’re inviting you to join these calls and share your self-research ideas, projects etc. Whether you’re an experienced self-researcher or just curious to get started: You don’t have to come every week and of course you don’t need to present anything.
The self-research weekly chat was launched with the support from the family of Steven Keating (1988-2019), a pioneer of self-research who served on the Open Humans board. Curiosity was a driving force in Steven’s life. He recorded and shared videos of his brain surgery, explored his cancer’s genetic data, and printed 3D models of his tumor. In his memory and in celebration of his life, we would like to help more people be curious about themselves. This year, we will honor Steven with public presentation of our self-research discoveries July 22. (You can read more about Steven’s life and work in this article, “Celebrating a curious mind” on MIT News.)

[H1] Related Posts

[H2] CGM Show&Tell June 13 2023

[H4] Gary Wolf
[H5] June 13, 2023
Would you like to get help with your self-research project from an active, experienced group of peers? You’re invited to join the Keating Memorial Self Research group, in which we share and discuss our self-research projects and support each other in our efforts. We were inspired by Steven’s pioneering self-research to try to make it...

[H2] New Show&Tell Event: Tracking Blood Glucose

[H4] Gary Wolf
[H5] May 31, 2023
Please join us for an hour of short "QS Show&Tell" talks about diet and metabolic discoveries using personal science. This session will focus on minimally invasive blood glucose monitor and meal and activity tracking with Nutrisense.

[H2] Astronauts

[H4] Gary Wolf
[H5] February 23, 2023
We The Scientists, a new book by Amy Dockser Marcus, tells the story of a group of families who force research attention on a rare disease

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SUB-PAGE (https://quantifiedself.com/get-started/) Get Started – Quantified Self

[H1] Get Started

The purpose of this website is to support anybody who wants to use empirical methods to explore personal questions. We call this practice “everyday science.” In the decade that we’ve been working with people doing self-tracking projects, we’ve come to appreciate the diversity of motivations, methods and tools people use to gain insight into a problem or question using their own data. We’ve also seen how certain ways of approaching a project tend to lead to success, while others increase the chance of discouragement. Here we’ve tried to collect and organize some of the most useful advice about self-tracking, with a special focus on making it easy to get started.
So: How do you get started with a self-tracking project?
You can picture your project as involving four distinct activities. Although these activities blend into each other, they do each have their own particular flavor, and by outlining them separately we think we can give you a coherent and functional recipe. The activities are: Questioning, Observing, Reasoning, and Consolidating Insight.
[H2] Questioning
The process of articulating your reasons to do a self-tracking project is crucially important, far more important than what gadget to use, what methods to apply, or what interventions to test. When you articulate your reasons, you clarify the criteria for choosing what to track and what tools to use. You also gain access to others in the QS community who may be able to help, because they share your interests.
Here is a list of some common motives for starting a self-tracking project, just to get you thinking. Do any of these express your goals?
Increasing awareness of when or where something is happening so you can be more in controlLearning about the frequency and intensity of a symptom such as pain, dizziness, cramps, or allergies, to support medical treatmentDeveloping a skill, such as data visualization, by applying it to something you’re interested inCreative expression using your own dataTinkering with interesting hardwareMaking progress in training for sports and fitnessPacing physical therapy and/or recovery from injury
All of these are good reasons for starting a self-tracking project, and there are countless others. One under-appreciated motivation of tracking is that it is just a way to think more deeply about something that’s going on in your life. People have learned something of value from tracking something as simple as books they’re reading or the music they’re listening to. Not every project has to be directly focused on solving a problem. It might just be a way to organize and deepen your thinking.
Try writing a short paragraph expressing your goals and questions. You are welcome to use the “Project Log” section on the QS Forum to post even your earliest ideas and see if others can advise. This is an easy and powerful first step: you’ve now successfully started your self-tracking project. And if it seems odd that a self-tracking project, which often involves quantitative measurement, should begin with typing or handwriting a few sentences in a notebook, keep in mind that the lab notebook has been a core tool of science since laboratories were invented.
[H2] Observing
Self-tracking projects involve deliberate observations. We know this may seem trivially obvious. But we mean something specific by “deliberate observation.” That is, that you choose one or more carefully defined elements in your life to keep track of and you isolate these elements from the stream of your experience in order to give them special attention. This involves a decision: What do you want to observe?
[H4] Deciding What To Observe
Choosing what to observe often involves some trial and error. Do some thought experiments first. Try to guess what the record of your observations will look like after your project gets going. Do you think there will be a pattern? How frequent will the measurements be? What would you be surprised to see? Even a very short planning phase of a quarter of an hour can yield important insights about what precisely you’d like track, giving you a way to think more clearly about whether the observations are likely to be relevant, convenient, and trustworthy.
Relevant: Does the observation really offer insight into what I care about?Convenient: Can I collect these observations easily and consistently?Trustworthy: How confident am I in the measurements?
If your project involves biomedical measurements, your exploration of their trustworthiness may be more intense. We’ve offered some guidance for evaluating validity of biomedical devices used for self-tracking in this post: Is My Data Valid? However, when you are just getting started you there’s no need to wade into the challenge of doing your own validation of biometric instrumentation. You can learn a lot from tracking something simple.
Here’s an example. Jakob Eg Larson, a professor of engineering and the co-organizer of QS Copenhagen, suffered from headaches. But after he started his heading tracking project he realized it was difficult to use standard measurement approaches. After some thinking, he decided not to track his headaches, but to note each time he took his pain medicine. This was unambiguous and made his project much easier. (To find out his surprising conclusion watch his short talk: My Headaches from Tracking Headaches.)
Low-tech tracking: notebook from one of Amelia Greenhall’s projects.
[H4] Recording Your Observations
The material equipment for recording your observations need not be elaborate. Sometimes a smartphone and electronic sensors are useful, but there are times when a pencil and paper will do. We’ve seen many excellent self-tracking projects that involve making just one numerical measurement daily. And where the measurement is based on self-assessment, no complex technology is needed. For instance, you can record your self assessment in a notebook using a numerical scale. Examples of self-assessments we’ve seen in successful projects include:
Mood before going to sleep or feeling of restedness upon awakeningInterference of pain with normal daily functioningSubjective sense of of “readiness to train” in sports
If your project requires a lot of work every day, you’re more likely to drop it before you learn anything useful. Ask yourself: How’s this process going to feel when my initial enthusiasm dips, or my work or family life requires extra attention? We’ve been privileged to work with self-trackers doing marvelously complex and demanding projects, some involving millions of observations. But among the best projects are the simplest. For inspiration, take a look at the way designer Ellis Bartholomeus collected observations about her state of mind.
[H4] Securing Access To Your Observations
Many self-tracking projects involve tools that collect observations passively. For instance, there are wearable gadgets that track activity, sleep, location, blood pressure, body temperature and heart rate. Other projects make use of tests available from a lab or pharmacy: blood glucose, ketones, cholesterol, luteinizing hormone, and many more. When you are getting started on a self-tracking project there is one especially important question you’ll want to ask about your tool: Does it give me access to my own data? Absurd as it may sound, many self-tracking tools only offer summaries of data, or only offer data in a ridiculously inconvenient format.
Here’s health educator Ilyse Magy describing the problem of a good tool with bad access. The question of access is especially important for tools that collect data passively and store it remotely. You’ll want to test for access right at the beginning of the project. Find the export data function. Take a look at the file it sends you. Is the record of your observations available in a tabular format, so that you can open it in a spreadsheet? If not, consider whether there is an equivalent tool with better access.
For combining data from different sources so that you can access it for personal reasons, we prefer to recommend tools that are specifically focused on helping individuals without exposing them to risk, such as Zenobase, created by Eric Jain, co-organizer of the Seattle Quantified Self group. If you use Apple Health, you can take advantage of our free QS Access App, which allows you to securely access most of your Apple Health data in tabular format that you can download it and open it in a spreadsheet.
[H4] Help With Tools
There are many hundreds of commercial self-tracking tools that could be relevant to your project, along with countless everyday and DIY tools that might work even better. If you are looking for a specific tool, or have questions about a tool you’re currently using, try posting in the QS Forum. We keep an eye on questions posted there and try to get them answered.
[H2] Reasoning
Now that you have the record in hand, there are many different ways to interrogate it. If you have a numerical record, you can take advantage of centuries of accumulated knowledge on teasing meaning out of data, making predictions, and increasing your confidence in connecting causes with effects. Getting meaning from data is the ultimate “low floor/high ceiling” task: there are ways to learn that are accessible to everybody, including young children; and there are approaches that may only become rewarding after years of practice. Here are three ways to reason using your observations that can work immediately.
[H4] Create a Baseline
A baseline tells you “how things are.” By carefully observing your current situation, you set yourself up for knowing when and how it changes.
Try a one number baseline: A baseline measurement can be as simple as a single number representing a single measurement. How many pushups can you do without resting? That’s your baseline for pushups. You can sometimes use a single number baseline to represent complex phenomena. For instance, the late Seth Roberts, a highly creative experimental psychologist who helped create the culture of the Quantified Self community in its first years, gave himself a simple cognitive test every morning. He paid special attention to his “record score,” a single number that helped spark new ideas about things to test when he saw an unexpected improvement. (Today, you can set up your own quick cognitive tests using the free service by Yoni Donner called “Quantified Mind.”)
Make a baseline from an average: When you have a measurement that tends to jump around due to normal fluctuations in daily life (think about heart rate, blood pressure, body weight, or mood) you may need to take an average of multiple measurements to acquire a meaningful baseline. Thinking about how to use an average for your baseline will naturally push you to consider what you expect the variation from measurement to measurement to be, and how you expect it would change based on different conditions. For instance, is the baseline you create from morning measurements different than the one you create from evening measurements? This simple process of measuring a number of times and calculating the average leads directly to learning.
Collect a “bucket” of informal daily observations: Your method of creating a baseline will reflect what you hope to find out from your project. When you think about your baseline, go back to your question. What are you wondering about “how things are?” You can use a set of casual observations, even in the form of simple notes, as the baseline for your project. Your choice of what to note down expresses your sense of what factors you’re guessing may change over time.
In this video segment, you can see how college student Lydia Lutsyshyna uses descriptive notes about her daily activities, such as the names of the friends she saw each day, to anchor a self-tracking project that included an intervention.
[H4] Use a Timeline
Perhaps the most common formal tool for reasoning with data is a graph showing change over time. Whether you have just a handful of observations or many millions of them you can usually find a way to line them up in a row according to when they were made. Timelines can present fascinating – and frustrating – technical challenges, especially when dealing with big numbers and diverse observations gathered using different methods.
But a very easy way to make timeline is to take a sheet of paper and label the bottom with the times of your measurements; then mark the number given by your measurement at that time in the vertical column above. Then just draw a line between each of the measurements, like in a game of connect-the-dots: there’s your timeline. In the segment of the video we’ve cued up here, you’ll see a rather remarkable version of a basic timeline chart, created by Jon Cousins and presented at the London Quantified Self meeting in 2011.
[H4] Retrospective Annotation
Look at the record of your observations. Is there a change over time? What are some possible reasons for this change? In many cases, the answer to this question is not obvious. In thinking about your own data, you’ll often want to explore what else was going on during this time.
Some people set out in advance to “track everything.” We have a different suggestion. Sometimes simply using your memory to reflect on what your timeline makes visible will give you ideas about causes and effects. Also, in this age of digital tools, many of the things going on in our lives create a record we can consult after the fact. Most digital photos contain a time stamp, allowing you to go back to the day of a measurement and get hints about what you may have been doing that day. If you use a digital calendar, then you will know what appointments you had. Your email also contains many details that can help you reconstruct your past. It’s often possible to annotate our observations retrospectively by going back and adding contextual descriptions to interesting moments.
When you are reasoning about your own data, consider all the digital traces you might consult. The scholar Shoshana Zuboff has described the current era as “the age of surveillance capitalism,” describing how a few powerful corporations use the digital records of our lives to monopolize power. Here, we’re proposing an alternate use for our passively collected digital traces; that is, to help us privately and personally figure something out for ourselves.
[H2] Consolidating Insight
A self-tracking project is a continuous learning process, and every step, from the first moment of thinking about what questions you want to explore, offers a chance for finding something out that can be useful. However, there’s a specific activity that comes with the development of a project that support creativity and focus in thinking about your own data; that is, acting on and sharing what you know. In making decisions based on what you learned, and in describing what you’ve learned to others, you’ll often find yourself revisiting every step of the

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SUB-PAGE (https://quantifiedself.com/show-and-tell/) Show & Tell Projects Archive – Quantified Self

[H1] Show&Tell

[H3] Get inspiration and ideas from hundreds of self-tracking projects documented in our community archive, searchable by tools and topics.

[H6] Topics

[H6]

[H2] Consolidating Gadgets

[H4] Eric Jain
Eric Jain was using five devices to track his location, steps, workouts, heart rate and his environment. He attempted to consolidate all of those devices into one. He shares whether the new device worked better than his existing ones.

[H2] Tracking What I Do Versus What I Say I'll Do

[H4] Eli Ricker
For years, Eli Ricker has tracked her self-created "Life Satisfaction" score and whether or not she did what she said she would. She’ll describe what this practice taught her about effective goal setting, true productivity, and deeper satisfaction.

[H2] What I'm Learning From My Meditation App

[H4] Alec Rogers
Alec Rogers wanted to see if there was a way to measure mindfulness after meditation, so he built his own simple, open-source meditation tracker.

[H2] My Blood Values From Diet And Other Activities

[H4] Benjamin Best
Ben Best measured his blood glucose, ketones, triglycerides, and cholesterol in response to a wide variety of foods and other activities. He'll show how his analysis changed his dietary choices. 4

[H2] Blood Oxygen On Mt. Everest

[H4] Fah Sathirapongsasuti
Fah Sathirapongsasuti's project, carried out on his way up Mt. Everest, allowed him to carefully evaluate both the drop in his blood oxygenation and the effect of acclimatization—and contained some useful discoveries.

[H2] #100daysofqs: Daily Art From Data

[H4] Lillian Karabaic
After 10 years of collecting data on herself, Lillian Karabaic embarked on a project to make an art piece from her data for 100 consecutive days, with pieces ranging from "Mildly Scary Things I Have Done" to "Burritos Per Year."

[H2] Using Running And Cycling Data To Inform My Fashion

[H4] Anna Franziska Michel
Anna Franziska Michel uses her running and cycling data as material for her startling and beautiful work in fashion design.

[H2] Three Marathons On Zero Calories

[H4] Mikey Sklar
How far can we go using our fat as fuel? Mikey Sklar used a wide array of tools to guide his training for running 76 miles in less than 24 hours without the use of food.

[H2] Which Grasses Aggravate My Allergies?

[H4] Thomas Blomseth Christiansen
Thomas Christiansen's allergies are aggravated when he runs during grass pollen season. For this project he used a GoPro to document passing vegetation and a device to record his sneezes in order to pinpoint which plants activated his nose.

[H2] Tracking Glucose As A Person Without Diabetes

[H4] Justin Lawler
Justin Lawler tracked his glucose over four months using a continuous glucose monitor. He compiled a total of 21,000 glucose measurements, along with many other biometrics, to gain insight into what affects his metabolism.

[H6] More

[H2] How Work Distractions Affect My Focus

[H4] Madison Lukaczyk
Madison Lukaczyk wanted to improve her focus by controlling her distractions. She had already blocked distracting web sites, but what about work related channels that nonetheless constantly interrupted her concentration? Using time-tracking data from RescueTime, exported to R Studio, she created visualizations that revealed how her workflow was affected by chat threads, emails, and texts.

[H2] Cholesterol Levels While Nursing

[H4] Whitney Erin Boesel
After giving birth, Whitney Erin Boesel learned that her cholesterol was very high. Given her family history, it seemed that an intervention was in order. But what if she did nothing and simply made observations?

[H2] To Teach Quantified Self, First Know Thyself

[H4] Michael Lim
Michael Lim, teacher, and Alex Truong, 12th grader, redesigned the AP Statistics course at Summit Shasta High School to have students learn by analyzing their self-tracking data. They prepared by doing their own QS project with Rescuetime, MyFitnessPal, multivariate regression, and more.

[H2] Running Storytelling

[H4] Albara Alohali
Albara Alohali combined self-collected data and storytelling to help himself meet a personal challenge: running a marathon every month.

[H2] Separating Work And Home

[H4] Lydia Lutsyshyna
Lydia Lutsyshyna tracked the timing and location of her activities, then experimented with clearly separating studying and non-studying intervals to see if this simple delineation produced noticeable effects in her behavior.

[H2] Does My Stomach Anticipate My Meals?

[H4] Benjamin Smarr
Benjamin Smarr has been collecting glucose, body temperature, heart rate, and stomach activity data to see how his body responds to scheduled meals, and whether it keeps the schedule when he fasts.

[H2] Tracking Breathing To Control My Focus

[H4] Shamay Agaron
Shamay Agaron has been using a breath measurement instrument, the Spire, to understand more about his patterns of focus.

[H2] Quantifying My Phd: Pomodoros And Productivity

[H4] Maggie Delano
How much work does it take to get a PhD? How do marathon work sessions affect future productivity? Maggie Delano will answer these questions and more using data from tracking over 5000 pomodoros over the course of earning her PhD.

[H2] Learning An Impossible Form Of Exercise

[H4] Jessica Ching
Exercising without food for a person with diabetes is akin to scuba diving without air; medical “experts” say it’s impossible. Jessica Ching was unwilling to believe this and conducted a series of personal trials. She has since run thousands of miles, almost all without eating.

[H2] What Insidetracker Taught Me About My Five-Day Fast

[H4] Kyrill Potapov
Kyrill Potapov underwent a five-day fast to measure the impact of cell death (apoptosis) on cholesterol and hormone levels, using two InsideTracker panels to show before and after states.

[H6] More

[H2] Tracking My Personal Reliability

[H4] Daniel Reeves
Daniel Reeves has made it a strict personal rule that every time he utters a statement starting with "I will" to someone, no matter how casually, he logs the commitment, with a due date, and keeps track of when he follows through.

[H2] A Self-Study Of My Child's Genetic Risk

[H4] Mad Ball
Mad Ball is a carrier for a rare genetic disease that entailed the risk of having a child with a serious intellectual disability. But how much risk? Through careful self-investigation based on consumer genomics, a reasonable estimate turned out to be possible.

[H2] Ten Years Of Tracking My Location

[H4] Aaron Parecki
Aaron Parecki will talk about what he's learned from using extensive continuous location data, based on a decade of experience.

[H2] Tracking Across Generations

[H4] Aaron Yih
Since the day Aaron Yih was born, his grandfather documented his life in large photo collages he hung on the walls. Now that his grandfather is 84, Aaron is using digital archiving and modern lifelogging tools to continue the record that his grandfather began over two decades ago.

[H2] Quantifying The Effects Of Microaggressions

[H4] Jordan Clark
Jordan Clark used his heart rate variability (HRV) data to measure psychological effects of microaggressions as part of his research quantifying the Black experience.

[H2] My Headaches From Tracking Headaches

[H4] Jakob Eg Larsen
Jakob Eg Larsen thought tracking headaches would be an easy task. But the very first question turned out to be less straightforward than it seemed: What counts as a headache?

[H2] Building My External Brain

[H4] Todd Greco
For the last decade Todd Greco has been using a variety of data sources to build up his exobrain, including recording every location he's visited, allowing him to call up each place individually or map them.

[H2] Finding The Optimal Training Zone

[H4] Ralph Pethica
Ralph Pethica has been combining fitness tracking and subjective data with genetics, using techniques from his work with professional athletes to help find the optimal way for him to train.

[H2] Estrogen And Invention

[H4] Shara Raqs
Do hormones activate creative thinking? Using fertility data from 70+ cycles, Shara Raqs discovered the time in her cycle that she was most likely to experience eureka moments.

[H2] A Decade Of Tracking Headaches

[H4] Stephen Maher
Stephen Maher started with paper and pen, and eventually developed his own app to help him learn about his headache patterns and manage his actions, medications, and expectations.

[H6] More

[H2] My Biological Rhythms In Sickness And In Health

[H4] Azure Grant
Azure Grant is interested in circadian and ultradian rhythms. Over a 10-day period she collected EEG, EKG, EGG, glucose levels, and body temperature measurements to explore how these different systems interacted.

[H2] Learning From Excuses

[H4] Valerie Lanard
Over years of tracking exercise, Valerie Lanard inadvertently compiled an incredible data set by documenting her excuses for not exercising. From this unexpected trove she learned why she tended to get sick, how she's prone to injury, and also the importance of logging a little extra context.

[H2] Improving Skin Health

[H4] Matt Velderman
Matt Velderman tracks skin health to figure out what diet and supplements have a positive effect on his skin, along with other personal topics, including weight training and home energy use.

[H2] Normalizing Blood Pressure by Improving Fitness

[H4] Siva Raj
Siva Raj was interested in lowering his blood pressure. With a family history of cardiovascular disease and heart attacks he was worried about slightly elevated blood pressure (pre-hypertension). Despite a regular exercise and healthy diet, his blood pressure measurement didn’t respond. After reading literature about the link between fitness and cardiovascular health, Siva decided to change his training to improve his fitness. He decided to incorporate a increased intensity into his routine. After a short period of time he had increases in this fitness and was able to observe the reduction in blood pressure he was looking for. Siva explains his methods at the Boston QS Meetup group.

[H2] To Sleep-Perchance To Remember

[H4] Ariel Berwaldt
For about the past 10 years, Ariel was consistently and chronically fatigued and tired and I really didn’t know why. Ariel went to many doctors and got many diagnoses and a lot of medications and nothing really seemed to be helping. Ariel then went into a sleep study, a polysomnography, and it came out that she had sleep apnea with zero percent deep sleep and would waken up about 10 times an hour. According to the deep sleep, her 30 years old is actually a 60 years old.

[H2] Tracking My Sleep And Resting Heart Rate

[H4] Jakob Eg Larsen
Jakob Eg Larsen is an Associate Professor at the Technical University of Denmark. He has long-term data on his sleep and his resting heart rate. In this video, Jakob talks about how these two types of data are linked. He also shares what he learned and the insights that he has obtained from the longitudinal tracking of his sleep and resting heart rate.

[H2] Physiological measurements at classical concerts

[H4] Elliott Hedman

[H2] Memomics And Longevity

[H4] Stuart Calimport
Stuart set out to sequence a memome to find memes ("ideas" and "concepts" rather than viral pictures) associated with longevity and find factors that affect how his memetics change. He recorded most of his ideas that they had over time. For over two years, he logged over 25,000 ideas and categorized them whether he thought those ideas would increase his lifespan or decrease he lifespan. He shares what he's learned, and some inspiration about large scale memome tracking.

[H2] Lessons From the Gray Zone Between QS and CBT

[H4] Michael Kazarnowicz
Michael Kazarnowics is a personal trainer and an active QS member since 2003. He talks about the lessons from the gray zone between self-hacking and self-tracking, with an emphasis on the intersection of Cognitive Behavioral Therapy (CBT) and QS.

[H2] Self Experimentation

[H4] Mariusz Nowostawski
Mariusz works in a multi-disciplinary research group at the University of Otago. In this talk, he shares why he's life logging and what benefits he has received from it.

[H6] More

[H2] Using IOT for Motivation

[H4] Charlampos Doukas
Charlampos Doukas is a maker, he likes to build devices, collect and analyze data. He also has a blog, Internet of Things so he spent a lot of time working from home, sitting in front of a computer, which is really bad for his health. Since he graduated and started working, he gained a lot of weight and his blood cholesterol is rising. In this talk, he discusses about how he uses Internet of Things combined with devices to motivate him to be more active. He shares his learned experiences in this talk.

[H2] Tracking Symptoms

[H4] Natasha Gajewski
Natasha Gajewski, a healthy woman and mom became a self-quantifier due to an illness. In order to get a diagnosis by a doctor she had to track her symptoms. She developed an iOS app to help her do this. The app was built for her, but recently diagnosed patient with a complex autoimmune disease. In this talk, she shares her experiences about tracking symptoms for her illness.

[H2] Self Knowledge Through Textile-Based Sensing

[H4] Anne Prahl
Anne Prahl is a Ph.D. researcher at the University of Arts at London. Anne Prahl explores textile based sensing and how it has effected her with regard to self-knowledge. In this video, she talks about how she got into Quantified Self and how she used self-tracking to inspire her research project.

[H2] The Arithmetic of Life

[H4] David Gordon
David Gordon does strategy at Intel. He's had diabetes for 15 years. He talks about diabetes and the importance of numbers from the perspective of a type 1 diabetic. He discusses how diabetes Type I is really the interplay of a way of life, carbs, your blood sugar, and the amount of insulin you inject.

[H2] Measuring Exhaustion and Readiness

[H4] Philipp Kalwies
Philipp Kalwies talks about the risks of over-training and how an athlete can measure their body's level of exhaustion. He believes that the right amount and intensity of training is the key to successful performance for athletes. In this talk, he discusses the testing of a new device which promises to conveniently deliver data that athletes need to measure their exhaustion and intensity and help to find the right moment for their next workout.

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🛡️ Trust Signals — reviews, proof links, trust-theatre flag (Trust & Proof)

14Review mentions (all pages)

0External proof links (all pages)

Page	Reviews	Proof links
/ (home)	0	0
/blog/the-keating-memorial-self-research-group/	2	0
/get-started/	1	0
/show-and-tell/	11	0

🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps (Identity & Authority)

Homepage schema

[
    {
        "@context": "https://schema.org",
        "@type": "WebSite",
        "@id": "https://quantifiedself.com/#website",
        "url": "https://quantifiedself.com/",
        "name": "Quantified Self",
        "potentialAction": {
            "@type": "SearchAction",
            "target": "https://quantifiedself.com/?s={search_term_string}",
            "query-input": "required name=search_term_string"
        }
    },
    {
        "@context": "https://schema.org",
        "@type": "Organization",
        "url": "https://quantifiedself.com/",
        "sameAs": [
            "https://www.facebook.com/groups/quantifiedself",
            "https://www.linkedin.com/groups/1785228/",
            "https://twitter.com/quantifiedself"
        ],
        "@id": "https://quantifiedself.com/#organization",
        "name": "Quantified Self",
        "logo": "https://quantifiedself.com/wp-content/uploads/2019/08/QS-Logo-dots_107x82.png"
    }
]

/blog/the-keating-memorial-self-research-group/

{
    "@context": "https://schema.org",
    "@type": "Organization",
    "url": "https://quantifiedself.com/",
    "sameAs": [
        "https://www.facebook.com/groups/quantifiedself",
        "https://www.linkedin.com/groups/1785228/",
        "https://twitter.com/quantifiedself"
    ],
    "@id": "https://quantifiedself.com/#organization",
    "name": "Quantified Self",
    "logo": "https://quantifiedself.com/wp-content/uploads/2019/08/QS-Logo-dots_107x82.png"
}

/get-started/

{
    "@context": "https://schema.org",
    "@type": "Organization",
    "url": "https://quantifiedself.com/",
    "sameAs": [
        "https://www.facebook.com/groups/quantifiedself",
        "https://www.linkedin.com/groups/1785228/",
        "https://twitter.com/quantifiedself"
    ],
    "@id": "https://quantifiedself.com/#organization",
    "name": "Quantified Self",
    "logo": "https://quantifiedself.com/wp-content/uploads/2019/08/QS-Logo-dots_107x82.png"
}

/show-and-tell/

{
    "@context": "https://schema.org",
    "@type": "Organization",
    "url": "https://quantifiedself.com/",
    "sameAs": [
        "https://www.facebook.com/groups/quantifiedself",
        "https://www.linkedin.com/groups/1785228/",
        "https://twitter.com/quantifiedself"
    ],
    "@id": "https://quantifiedself.com/#organization",
    "name": "Quantified Self",
    "logo": "https://quantifiedself.com/wp-content/uploads/2019/08/QS-Logo-dots_107x82.png"
}

Your Diagnosis

Before revealing the machine’s verdict, predict the BS score for each signal. Higher = more BS (more fluff, less verifiable substance). Drag each slider, then submit to compare your judgment against the engine.

Information Density 0 / 30

Read the Narrative & headings: do hard facts (prices, dates, numbers) outweigh fluff power-words?

Semantic Coherence 0 / 20

Compare the homepage promise against the sub-page reality. Do they hold the same line?

Trust & Proof 0 / 20

Weigh review mentions against actual external proof links. Claims without verification = theatre.

Commodity Fingerprint 0 / 15

Check headings & narrative against the industry clichés in the setup above.

Identity & Authority 0 / 15

Inspect the schema: is there real Organization/Person identity with sameAs links, or gaps?

Your predicted BS score 0 / 100

💡 Stuck? Reveal the heuristic lens — how the deterministic page-auditor reads each signal (no AI, pure pattern rules)

These are the structural rules a local, deterministic auditor applies — the same lens you can use to judge each signal. They describe what to look for, not this company’s result.

Information Density

Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.

Semantic Alignment

Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.

Trust & Proof

Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.

Commodity Fingerprint

Look at how much sentence length varies. Natural writing varies its rhythm; templated or mass-produced copy is statistically uniform. Very low variation reads as commodity content — unless unique named entities break the pattern.

Identity & Authority

Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.

Want to apply this lens yourself? The free BS Indicator Chrome extension runs these heuristic checks live on any page. Bear in mind it is a single-page, deterministic tool — it relies only on pattern rules for the page in front of it and does not perform the cross-page semantic correlation this audit uses, so its readout is a starting lens, not the full verdict.

BS Level

Social Networks, Communities & Forums

49.5 Avg BS

Based on 185 businesses audited.

✓ Less BS than average

Quantified Self has 40.5 points less BS than the average for Social Networks, Communities & Forums.

BS Detector

Social Networks, Communities & Forums BS: Quantified Self (quantifiedself.com)

https://quantifiedself.com 📍 Industry: Social Networks, Communities & Forums

9 BS / 100

Expert Verdict

This site is a rare example of a substance-first platform that completely eschews marketing BS. It operates as a technical archive for a high-utility community, providing empirical evidence for almost every claim made on its homepage. The only red flag is a lack of recent content updates, suggesting the community’s digital presence may be trailing its actual activity.

Info Density Power-words vs. Substance ratio.

10% BS

Semantic Coherence Homepage promise vs. Sub-page reality.

0% BS

Trust & Proof Verifiable evidence vs. Trust Theatre.

20% BS

Commodity Fingerprint Detection of industry clichés/templates.

7% BS

Identity & Authority Expert verifiability & Schema depth.

7% BS

BS Reduction Prescription

First, update the temporal signals on the homepage to reflect activity within the 2025-2026 cycle to avoid the appearance of dormancy. Second, implement Person schema for high-profile contributors like Jakob Eg Larsen and Steven Jonas to bridge the authority gap. Third, add direct outbound links to the external publications mentioned, such as the MIT News article. Finally, provide a clear governance or transparency report regarding the ‘Forum’ and ‘Keating Group’ to satisfy the missing_elements typical of decentralized communities.

Industry Match & Score Summary

Industry Classification

The website perfectly aligns with the Social Networks, Communities & Forums category. It functions as a specialized knowledge-sharing hub centered on the practice of personal science and N=1 experimentation.

“The ultra-low score of 9 is driven by the extreme specificity of the content and the total absence of industry-standard fluff. The points that were earned come primarily from technical trust_theatre_flags (reviews without external verification links) and the 'stale' status of the content dates relative to the 2026 temporal anchor. Information density and semantic coherence are nearly perfect.”

See Full BS Audit →

Analysis Disclosure & Source Attribution

This training module utilizes a snapshot of public data from Quantified Self, captured on May 24, 2026, to demonstrate how machine logic evaluates different types of business narratives.

Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to compare human intuition against machine-generated evaluations.

Notice to Quantified Self: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results provided by 1EuroSEO are intended as professional feedback to help improve any website’s machine-readability and authority signals. The 1EuroSEO BS Detection Tool is a free tool, and anyone can test any company to see how their content is interpreted by AI models.

Any company can use the insights for free and improve its voice by comparing it to industry clichés or competitors. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.

To all users: You are encouraged to visit the live site at https://quantifiedself.com to view the most current version of its content and learn from the source what this company is about and what it offers.

Brand AI Reputation

Training Example: Quantified Self – Review the Data, Give Your Score & Compare to the Real AI Evaluation

Quantified Self

Your Diagnosis

Social Networks, Communities & Forums BS: Quantified Self (quantifiedself.com)