Updated Recommendations Algorithms are live

Both the other Labs Analysis and Ubiome recommendations have had the revised algorithm applied.

The Values are not how strong it works, but the probability that it will have impact (works)

A higher number means more and more studies have found that it has modified the bacteria.

Ubiome Example

The default recommendations look at:

  • High counts > 150%
  • Items with moderate impacts
  • No antibiotics or prescription drugs
  • Aggregated items


If there are too many items, you may wish to change it to High Impact


If you are concerned about UNDER GROWTH..


Note that there can be some agreements between the High and Low. For example: avoid coconut products and saccharomyces are on both lists.

If you are interested in an item like ‘beta-glucan foods’, just click on it to see the break down.


Bottom Line

This revision should produce better recommendations and be easier to understand. It also provides a tool for those who are concerned about under growths. It also allows people to explore different approaches.


This is an education post to facilitate discussing this approach with your medical professionals. It is not medical advice for the treatment of any medical condition. Always consult with your medical professional before doing any  changes of diet, supplements or activity. Some items cites may interfere with prescription medicines.