This podcast was about the downfalls of using predictive measures for weight loss, specifically with a client that had hit a plateau with his weight loss. 
More research is finding BMR prediction may only be accurate ∼40% of the time, regardless of gender and weight classification. Furthermore, individuals within the "overweight" classification often metabolise fats and/or carbohydrates very differently which means generic meal/exercise plans may not be appropriate. Listen on to find out what methods and technology can be utilised to help in individualising weight loss methods rather than predictive methods. 
 

https://www.sciencedirect.com/science/article/abs/pii/S1871403X15001118 

this article found that BMR prediction was only accurate ∼40% of the time, regardless of gender and weight classification. 

https://www.mdpi.com/2072-6643/8/1/2

This found that overweight individuals with metabolic syndrome or type 2 diabetes had lower capacity for fat metabolism
Overweight individuals without metabolic conditions tended to utilize fat quite well 
Therefore utilisng generic exercise and diet guidelines may not be optimal for all overweight individuals 

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