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Yazarın fotoğrafıMetin Sokmen, MD

Correlation does not imply causation.


But this is a tricky part of statistics. You can make graphs say anything you want without interpretation.

We need to be careful about this.


Another issue in medicine is survival bias. I'm not saying this because I think it's correct, but just for consideration.

For example, going to a Blue Zone and sharing examples from people's lives there is not enough.

When you go there looking for reasons, you will probably find many 'reasons'.


Science requires randomized controlled double-blind studies.

But this is very difficult to do for lifestyle issues.

We have reached where we are today by using community data.

However, we are not at satisfactory points in terms of both nutrition and exercise.


We all know that these are much more important topics than they currently appear to be.


Exercise is a field with relatively better studies, but we are lacking a lot in the area of nutrition/diet.


Do you think this issue can be resolved in the coming years? And how?


<<As you might guess, the graph is quite misleading and incorrect.>>


(But some of us might say that some of the lifestyle standards that contribute to the development of obesity may have also contributed to our increased lifespan.)

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