When Data Lies: How Christians Can Think Clearly About Statistics, COVID, and Creation with Dr. Jason Wilson

We live in a world drowning in data. Medical studies, COVID debates, vaccine claims, creation and evolution arguments, social media headlines, fulfilled prophecy, and apologetics all involve statistics. But when data is used to support opposite conclusions, how do we know what is actually true?

In this episode of The Christian Clinician, Dr. Tanya Paynter talks with Dr. Jason Wilson — professor of statistics at Biola University and author of Statistics and Faith: A Christian Guide to Telling the Truth with Data — about how Christians can become more honest, discerning, and clear-headed when interpreting data. Dr. Wilson holds a PhD in statistics from UC Riverside and an MA in New Testament studies from Biola, and has spent eighteen years teaching Christians to think about numbers with both rigor and faith.

Dr. Wilson explains that statistics is not "just math" — it is a tool for understanding reality. And because Christians are called to love truth, how we collect, organize, analyze, and interpret data is a deeply theological concern. This conversation covers the three dimensions of truth, how worldview and confirmation bias quietly shape interpretation, why COVID vaccine data and natural immunity were so widely misunderstood, what probability can and cannot prove about fulfilled prophecy, and why abiogenesis raises a probability problem that most naturalists struggle to answer.

There is also one number in this episode — the calculated probability of life arising spontaneously from non-life — that may be the most compelling statistical argument for intelligent design you have ever heard.

If you have ever felt confused by conflicting studies, overwhelmed by competing claims, or unsure how to think about data as a Christian, this episode will help you approach statistics with more clarity, humility, and confidence.

• Why Christians are called to care about statistics, data, and truth
• How worldview, bias, and assumptions quietly shape the way we interpret research
• Why COVID vaccine data and natural immunity were more nuanced than either camp admitted
• What the math around fulfilled prophecy actually proves — and where the argument has limits
• Why abiogenesis raises a probability problem that naturalism struggles to answer
• How to evaluate data without cherry-picking it to win an argument
• Why statistics can lower the temperature in polarized conversations

00:00 The probability problem of life arising from non-life

00:51 Introducing Dr. Jason Wilson and Statistics and Faith

05:01 From “statistical apologetics” to Statistics and Faith

09:04 Why the book is accessible for non-math people

12:18 Intellectual honesty, bias, and interpreting data fairly

15:52 The heart check of confirmation bias

17:26 Three dimensions of truth: propositional, experiential, and communal

23:16 How worldview can distort data

30:28 The four parts of statistics

32:02 The statistics around fulfilled prophecy

37:51 Creation, abiogenesis, and the probability of life from non-life

45:03 COVID data and statistical polarization

46:59 Vaccine efficacy, natural immunity, and reading the data honestly

50:30 How statistics can lower the temperature in polarized conversations

52:45 Where to find Statistics and Faith and Dr. Jason Wilson

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• Statistics and Faith: A Christian Guide to Telling the Truth with Data by Dr. Jason Wilson
• Publisher: InterVarsity Press / IVP Academic
• https://www.ivpress.com/statistics-and-faith
• Amazon: https://a.co/d/0cDtYVa3
• Dr. Jason Wilson’s Biola University faculty page
• https://www.biola.edu/directory/people/jason-wilson
• Dr. Jason Wilson’s personal Biola homepage
• https://sites.google.com/a/biola.edu/jasonwilson/jason-wilsons-home-page
• Biola University Quantitative Consulting Center
• Mentioned in connection with Dr. Wilson’s work at Biola.
• The Return of the God Hypothesis by Stephen C. Meyer
• Mentioned as a helpful resource on intelligent design, materialism, and origin-of-life questions.
• Peter Stoner’s probability argument for fulfilled prophecy
• Discussed in relation to Jesus fulfilling Old Testament prophecies and the importance of independence in probability calculations.
• Fred Hoyle’s junkyard analogy
• Discussed as an illustration of the probability challenge around life arising spontaneously from non-life..

Dr. Jason Wilson is professor of statistics at Biola University, where he oversees the statistics program and directs the Quantitative Consulting Center. He earned his PhD in statistics from UC Riverside and an MA in New Testament studies from Biola University. Dr. Wilson has taught math and statistics at Biola for the past eighteen years, has published more than twenty peer-reviewed journal articles, and is the author of Statistics and Faith: A Christian Guide to Telling the Truth with Data. His work helps Christians think honestly and faithfully about truth, statistics, bias, data, and the calling to love God with both heart and mind.

Dr. Tanya Paynter is the host of The Christian Clinician, a podcast built on the belief that true whole-person health rests on five pillars: physical health, mental health, emotional health, relationship with God, and Christian fellowship — all connected and communicated through the nervous system. As a licensed naturopathic physician, Dr. Paynter bridges biblical truth and clinical science — helping Christians understand how our relationship with God and faith practices like worship, prayer, Sabbath, and community shape stress physiology, nervous system health, and long-term wellbeing. If you're searching for a faith-based functional medicine approach to health that addresses body, mind, spirit, and community together, The Christian Clinician was recorded with you in mind.

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