Hard sciences refer to physical sciences that are objective based; hence distinguish to be accurate and precise. These sciences rely on an empirical, systematic method to obtain data. Reflecting on AOK2 and 3, we could conclude that mathematics is an example of a hard science, as it consists of an empirical view that requires ones senses to perceive it. For instance the formula to work out the sum of a certain amount of numbers in an arithmetic sequence was given as: Sn= n/2 (2U1 + (n-1)d ). There would be only one ‘absolute’ answer when this equation is applied.
This example reinforces the definition of a hard science being such that in literal terms is ‘hard’ and inflexible, therefore there is always certainty in what should be obtained. This would be similar to physics where formulas are applied to reach an objective.
There are various errors that could be made during the process therefore I’ve never thought hard sciences are reliable.
In comparison soft sciences are not based on reproducible experimental data or mathematical explanation of that data. The research which depends upon a prediction, and a qualitative analysis, that does not result in a specific result is referred to as soft science. For example in food technology one would be relying on the varying taste perceptions of each individual therefore may derive to a general conclusion but will never satisfy every single person.
Whilst hard science is determined by an absolute answer soft science varies in it’s conclusions.
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