Engadget42%

Scientists develop handheld device for measuring when your body is burning fat 50%

By Ian Carlos Campbell26%

7/23/2026, 10:39:08 PM

BS Summary: This article contains 17 faulty reasoning types, including Optimism Bias, Overconfidence Bias, and Appeal to Authority, with Ambiguity (Equivocation) as the most egregious example at 34.6% saturation with 122 hits. Analysis detected 832 faulty-reasoning hits from 353 analyzed words, generating a BS Score of 50% and a BS Rank of 50% (11,051 of 21,886 articles). This article is better (less manipulative) than 50.50% of the article peer group.

Smart scales and smartwatches often rely on bioelectrical impedance to calculate body fat percentage, a quick, though not necessarily accurate, way to get a sense of the amount of lean mass in your body without having to take multiple measurements. 
Accurately measuring *when* your body is burning fat is a whole other ball game, though, which makes new research into a handheld fat burning measurement device all the more intriguing. 
In a study for the scientific journal Device spotted by *New Scientist*, researchers supervised by Andreas Güntner created a handheld breathalyzer that can detect when your body is burning fat by measuring the amount of acetone in your breath. 
The study measured when the bodies of 12 participants burned fat across a variety of diet and exercise scenarios, and found the breathalyzer closely matched traditional lab results. 
Scientists identify ketosis, the term for when your body is burning fat for energy, by either measuring ketones in your blood or acetone in your breath  both are byproducts of fat being turned into fuel. 
As *New Scientist* notes, acetone tests are usually most accurate in a laboratory setting where things like humidity and breathing patterns can be controlled. 
The researchers in this study got around those limitations by creating a breathalyzer that can filter out excess moisture and contaminants, and using a companion app that can guide the user through the breathing process. 
The app was not only able to identify when users were applying too much or too little pressure, but also help adjust when the breathalyzer collected its sample to make sure the measurement was as close as possible to what would be observed with a blood-based test. 
Nutrion, now the commercial name of the device the researchers used, is similar in concept to an older device called Lumen that aimed to spot fat burning using carbon dioxide rather than acetone. 
In either case, frequent metabolic measurements could be useful in a variety of health settings, from determining whether GLP-1 therapies are effective, to enabling athletes to fine-tune their metabolism. 
Confirmation Bias
7.9%
Anchoring Bias
0%
Availability Heuristic
6.8%
Representativeness Heuristic
20.7%
Hindsight Bias
0%
Overconfidence Bias
21.2%
Framing Effect
11.9%
Loss Aversion
0%
Status Quo Bias
9.3%
Sunk Cost Effect
0%
Optimism Bias
21.5%
Pessimism Bias
8.5%
Negativity Bias
0%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
13.3%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
21.2%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
16.1%
Red Herring
9.3%
Bandwagon
8.2%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
34.6%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
9.9%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
3.4%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
11.6%

353 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.