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Prove It To Me - Real Research, Real Data, No BS

Prove It To Me - Real Research, Real Data, No BS

By: Dr. Matt Law
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Do you get tired of big ideas, exorbitant pitches, inactionable concepts, and empty promises? Cool, me too. I’m Dr. Matt Law, and I’m the host of ”Prove It To Me”. This podcast aims to put theories to the test and bring good research to light by showcasing evidence-based solutions. Guests will be challenged to identify things that actually work, provide research and data to back up their claims, and tell us how to measure and manage real solutions. You’ll hear about a lot of environmental health and occupational safety theories and concepts, but you’ll also learn about general business solutions and maybe even some everyday things that you can apply to your life. We’ll also cover general topics about research, whether it be about measurement tools, statistics, or what differentiates good research from, well, the not so good information out there. ”Prove It To Me” is nerdy. It is serious. It is jovial and fun. It is optionally explicit, but your kids will probably be asleep before we get to any bad stuff anyway. If you’re ready to cut through the BS, maybe learn a little bit about research, and get into the nitty gritty of whether big ideas work or not, you’re in the right place. Have some evidence-based research to share? Send an email to contact@proveitpod.com today! Disclaimer: The views and opinions expressed in this podcast are those of the host and its guests and do not necessarily represent the official position, opinion, or strategies of their employers or companies. Examples of research and data analysis discussed within this podcast are only examples. They should not be utilized in the real world as the only solution available as they are based on very limited, often single-use case, and sometimes dated information. Assumptions made within this discussion about research and data analyses are not necessarily representative of the position of the host, the guests, or their employers or companies. No part of this podcast may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, electronic, recording, or otherwise without prior written permission of the creator of the podcast. The presentation of content by the guests does not necessarily constitute an active endorsement of the content by the host.Copyright 2024 All rights reserved. Economics Hygiene & Healthy Living
Episodes
  • Ep 208 - The 3 AM TRIR Frustration (Evaluating ASOHMS vs. Z10)

    Ep 208 - The 3 AM TRIR Frustration (Evaluating ASOHMS vs. Z10)
    Mar 20 2026

    In this #StudyFinds episode of #ProveItPod, Dr. Matt Law battles post-conference road fatigue to tackle a brand new case study from the International Journal of Construction Management. The study reviews the implementation of the Army Safety and Occupational Health Management System (ASOHMS) within a USACE district.

    While the researchers found a correlation between the system's implementation and a reduction in contractor incident rates, the episode dives deep into the statistical methodology. We compare ASOHMS to ANSI/ASSP Z10 and ISO 45001, break down the double-edged sword of "rolling averages," and ask a tough question: If landmark research proves that TRIR is statistically invalid and driven by random variance, can we really use it to prove our complex management systems are working?

    References:

    American Society of Safety Professionals. (2019). Occupational health and safety management systems (ANSI/ASSP Z10.0-2019).

    Hallowell, M., Quashne, M., Salas, R., Jones, M., MacLean, B., & Quinn, E. (2021). The statistical invalidity of TRIR as a measure of safety performance. Professional Safety, 66(4), 28–34.

    Moskowitz, J. M., & McCranie, J. B. (2025). Investigating the impact of army safety and occupational health management system implementation on safety performance indices: case study of a U.S. Army Corps of Engineers district. International Journal of Construction Management, 1–17. https://doi.org/10.1080/15623599.2025.2537722

    U.S. Army Corps of Engineers. (2024). Safety and health requirements manual (EM 385-1-1).
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    19 mins
  • Ep 207 - The Ohio Alien Abduction Crisis (A Statistical Roast)

    Ep 207 - The Ohio Alien Abduction Crisis (A Statistical Roast)
    Mar 13 2026

    In this #StudyFinds episode of #ProveItPod, we are taking a quick detour from our usual heavy safety metrics this week to look at a headline that recently went viral: "Ohioans have 1.13% chance of being abducted by aliens, study finds." If that were true, over 130,000 people in Ohio would be missing right now!

    Dr. Matt Law tracks down the original "study" (published by a sports betting website) and tears apart the methodology. We dive into the raw data to explore why using "insomnia" and "Google search trends" as risk factors is absurd, and why capping a risk score at a 2% maximum because it "feels right" is statistical malpractice. More importantly, we put our safety nerd hats back on to explain the crucial difference between Probability (math) and Likelihood (guessing)—and why confusing the two is a major problem in real-world risk assessments.

    Whether you're from Ohio, the "high-risk" state of New Hampshire, or the absolute safe haven of Prince Edward Island, tune in for a lesson in data literacy and a good laugh.

    References:

    Harris, A. (2026). Alien abduction odds index 2026: Where reports cluster across the U.S. and Canada. Canada Sports Betting. https://www.canadasportsbetting.ca/news/research/alien-abduction-odds-2026/

    Millard, K. (2026). Ohioans have 1.13% chance of being abducted by aliens, study finds. NBC4 WCMH-TV. https://www.nbc4i.com/news/local-news/columbus/ohioans-have-1-13-chance-of-being-abducted-by-aliens-study-finds/
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    15 mins
  • Ep 206 - The "Best Practice" Echo Chamber

    Ep 206 - The "Best Practice" Echo Chamber
    Mar 6 2026

    In this #StudyFinds episode of #ProveItPod, Dr. Matt Law (running on fumes at hour 71 of a fast) dives into the latest industry report from the What Works Institute and Evotix. We explore the gap between "Industry Sentiment" and "Scientific Evidence," dissect the new trends in AI and SIF prevention, and discuss why standards like ANSI Z16.1 and ASTM E2920-26 are the cure for "muddled data."

    References:

    American Society of Safety Professionals. (2022). Safety and health metrics and performance measures (ANSI/ASSP Z16.1-2022).

    ASTM International. (2026). Standard guide for recording occupational injuries and illnesses (ASTM E2920-26).

    What Works Institute & Evotix. (2025). Risk recalibrated: 2026 executive leadership report on AI, SIF and human-centric EHS [White paper]. Evotix. https://www.evotix.com
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    16 mins
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