Imagine testing the same bottle of honey twice.
The first time, you take it from a cool pantry and immediately turn it upside down.
The honey moves slowly.
The next day, the bottle has been sitting in a warm kitchen.
You perform exactly the same test.
This time, the honey flows noticeably faster.
Did the honey suddenly become fake?
Of course not.
Its temperature changed.
As honey warms, its viscosity decreases and it generally flows more easily.
This simple example demonstrates why visual flow tests are unreliable.
If temperature alone can change the result, then a single observation cannot serve as a definitive authenticity test.
The Type of Honey Matters Too
