ARC E-Newsletter 7/17/26: Using Black Box and Open Box Experimental Design PLUS New Webinars Scheduled

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Aprovecho Research Center

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Jul 17, 2026, 6:07:42 PM (9 days ago) Jul 17
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Aprovecho E-Newsletter

Using Black Box and Open Box Experimental Design

A closed black box next to an open semi-transparent box

DS: Because biomass combustion is very complicated and not mathematically described I find that a random approach to experimental design can be productive. This is frequently referred to as the “Black Box” model. I asked Gemini AI about the use of Black Box vs. Open Box models.

Gemini AI: “Black box theory views a more random choice of experiment as a pragmatic compromise used when a system is too complex to fully understand.

Core Trade-Offs

  • Predictive Value: Black box models excel at predicting what will happen based on inputs. They fail to explain why it happens. Testing inputs and outputs is faster than mapping internal mechanisms. They can fail unexpectedly if hidden variables change. 

When Black Box Productivity Wins

  • Complex Medicine: Testing if a drug works before understanding its exact molecular pathway.
  • Machine Learning: Using deep neural networks to predict things.
  • Early-Stage Research: Establishing that a phenomenon exists before funding microscopic analysis.

When Open-Box Productivity Wins

  • Causal Certainty: Proving a direct mechanism of action, preventing false correlations.
  • Generalization: Applying a discovered scientific law to new fields.
  • Troubleshooting: Fixing a faulty experiment by isolating the broken component.

Science uses a cyclical approach. A black box approach identifies patterns quickly and open-box inquiry later attempts to verify the underlying truth.”


MORE 2026 Webinars start this Thursday!

Click each link to RSVP and receive a calendar invitation in your local time zone. Each webinar will include live Q&A.

Webinar #5 – Thursday, July 23, 8am Pacific – How to understand and check your data – Jaden Berger – A comprehensive explanation of the underlying calculations used to convert raw data to ISO tiers. Will include discussion on what values to check, what it means when those values are off, and how to fix them. https://addcal.io/e/hxnyao1djbdd

Next we’ll host a 3-part series that explores how to design wood, charcoal, and pellet stoves. Each part focusses on a single fuel type, exploring the design principles that make clean stoves, why those principles work, and the pros/cons of each fuel type/stove.

Webinar #6 – Thursday, August 13, 8am Pacific – Design principles for Wood Stoves – Dean Still and Sam Bentson https://addcal.io/e/9bt5q5q52m24

 Webinar #7 – Thursday, September 3,  8am Pacific – Design principles for Charcoal Stoves – Dean Still and Sam Bentson https://addcal.io/e/qjnpsjqa350f

Webinar #8 – Thursday, September 24, 8am Pacific – Design principles for Pellet Stoves – Dean Still and Sam Bentson https://addcal.io/e/drov4uaefczl

Visit aprovecho.org to view previous webinars.


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Find the book "Improving Biomass Stoves 2025," resources, publications and information about our work at www.aprovecho.org

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© 2026 Aprovecho Research Center/Advanced Studies in Appropriate Technology
76132 Blue Mountain School Road, PO Box 1175, Cottage Grove, Oregon, 97424 - USA
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