The Ponder Podcast sources page brings together every study, idea, and image reference used throughout the show. Each citation or credit reflects our goal to help listeners see truth clearly while recognizing the creative and scholarly work that shapes every episode.

If you’re exploring ideas introduced in Arc 1 – Foundations of Discernment, you can find them here. For more about why accuracy and attribution matter to our process, visit the About Page.

As new arcs release, this list of Ponder Podcast sources will grow to include updated studies, historical references, and imagery. Our aim is complete transparency and credit for all contributors, designs, and insights shared through The Ponder Podcast.

Some of the imagery used across this site was generated by Jeff Martin with the assistance of ChatGPT (OpenAI, DALL·E) to visually illustrate original concepts and themes from The Ponder Podcast.

These images are used solely for creative and educational purposes and reflect the podcast’s mission — to inspire deeper thought and renewed curiosity about how we see, believe, and discern.

Referenced Studies & The Ponder Podcast Sources

Episode 1 – Seeing Clearly
Docan-Morgan, Tony & Hale, Sydney E. (2023). “Unpacking Variation in Lie Prevalence: Prolific Liars, Bad Lie Days, or Both?” Communication Monographs, 90(1), 1–28.
Summarized in: University of Wisconsin–La Crosse News Center, “Research finds people lie just a little bit day-to-day — except for a few prolific liars.”
https://www.uwlax.edu/news/posts/research-finds-people-lie-just-a-little-bit-day-to-day/

Episode 3 – The Belief Continuum
Jones, Jeffrey M. (2022, June 17). “Belief in God in U.S. Dips to 81%, a New Low.” Gallup News – Politics.
https://news.gallup.com/poll/393737/belief-god-dips-new-low.aspx/

Image Credits

• Arc 1 – Seeing Clearly
  “Hand brushing condensation from glass” — created by Jeff Martin using ChatGPT (OpenAI, DALL·E).
• Arc 2 – Origins and Order
  “Bacterial flagellum diagram,” LadyofHats (public domain), via Open Oregon State / Wikimedia Commons.
• Arc 3 – The Human Pattern
  “Snake casting a question-mark-shaped shadow” — created by Jeff Martin using ChatGPT (OpenAI, DALL·E).