"Alice Wonder" wrote in message news:572d0e30-7214-0842-6624-7647514b9...@librelamp.com...

On 11/07/2017 02:21 AM, Tony Marston wrote:


Some things are so obvious that they do not need scientific proof.

Some things that appear obvious are incorrect, especially when bias enters. Scientific proof brings human bias out of the equation, or at least reduces it.

For
example, in a motor vehicle the power-to-weight ratio is important as it
affects engine performance and fuel economy. In other words, for a given
engine size the lower the weight of the car and the better the fuel
consumption. The more weight you add the lower the performance. Your car
has a heater which you only use when it's cold. It also has an air
conditioner for when it's hot. It has windscreen wipers, and a motor,
for when it's raining. When the temperature is mild and it's not raining
it means that you are not using any of this equipment, yet you are still
carrying their weight, and this weight is affecting your car's
performance. I do not have to supply any figures as proof as the car
manufacturers keep telling us that cars that weigh less perform better,
which is why they try to reduce the weight of as any components as
possible.

You then give an example for which every first year physics students has done experiments which use science to demonstrate it (namely demonstrating how weight impacts friction)

Sorry but if something is obvious then it should be able to test in a scientific experiment.

Individuals do not need to provide proof of this claim as it has already been made by the motor manufacturers who have provided their own proof. That is why they spend fortunes trying to reduce the weight of every single component in their cars.

It should also be obvious to every first year student that if a program contains code that is rarely or never used then carrying around the "weight" of that code has a detrimental effect. The code has a bigger footprint, therefore takes up more memory and is slower to load. It also increases the burden on those who maintain that code as they have to consider every piece of code without knowing how often it is used.

--
Tony Marston


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