John Zachary is not a preacher. He is not a theologian. He is a former engineer and data analyst who started asking a very unusual question.

What if history is not random?

What if ancient timelines, astronomical cycles, and historical events contain measurable patterns that we have been missing because we separate science and faith into different boxes?

He calls his framework Data-Driven Theology. He applies mathematics, reliability engineering, and astronomical modeling to ancient records. Not to prove a religious doctrine. Just to see what the data says.

In this episode, we talk about:

· What happens when an engineer starts reading ancient texts like datasets

· The difference between finding real patterns and seeing what you want to see

· How astronomy and ancient calendars might reveal structures in time

· What skeptics get wrong about his work (and what believers get wrong too)

· Why he is more interested in asking better questions than offering final answers

John is not here to convince you of anything. He is here to invite you into a way of thinking. To look at the information already in front of you. And to decide for yourself.

Whether you agree with his conclusions or not, his process is fascinating. And his questions will stick with you.

Connect with John:

Website: authorjohnzachary.com