Sorry, but I think you are the one who is in need for education, because you don’t understand the process that are involved as to what is science and what isn’t science, because from what I quoted in your post you don’t understand the process.
Of course, you wouldn’t accept a hypothesis being true by default and without testing the hypothesis.
But you need to understand what a hypothesis is, first.
A hypothesis is not merely just any “idea” that pop into people’s head.
The “ideas” as you called them, are usually based on preliminary observations of the phenomena. A scientist would try to understand the observations of physical phenomena, by asking the WHAT & HOW questions, for instances:
- WHAT is it?
- HOW does it work?
- If the scientist to provide adequate proposed answers to these 2 vital questions, other questions may follow, like -
- WHAT applications does this phenomena may have?
- HOW can I make it work or HOW do I implement this application?
These questions are followed by the proposed explanations - known as the EXPLANATORY MODEL.
If the scientist worked in physics-related field, you may supplement the “explanatory model” with the LOGICAL MODEL or the MATHEMATICAL MODEL. The logical or mathematical model, is usually come in the form of mathematical statements, often expressed as equations, formulas, numbers, variables, and constants or metrics. Physics equations are what scientists called proofs.
Once scientist have formulated both explanatory model and mathematical model, he would then follow these with a 3rd model in a hypothesis - the PREDICTIVE MODEL.
The predictive model is just as vital to science, and they are based on the 2 models that I have already explained to you. Predictive modeling is required, because you need to test the hypothesis.
The predictions are used as a limiting factors, the boundary of what is required for the hypothesis to be TRUE or FALSE.
So if the evidence or experiments meet the requirements of your predictions, then the hypothesis is probable and likely true.
But if the evidence and experiments don’t meet the requirements of your predictions, then the hypothesis is improbable and likely false.
So the hypothesis is a proposed model that needed to be tested first, before any decision can be made if it true or false.
So no, nPeace. A hypothesis isn’t just a idea. There are lot more to hypothesis than just an idea.
A hypothesis required explanations, required maths (especially for physics related fields) and it required predictions. And on top of these requirements, it required testing.
Testings involved any form of observations, like evidence discovery and evidence gathering, performing experiments, compiling the essential data from these evidence and test results from experiments.
Without testing, ideas don’t even qualify to being called a “hypothesis”.
If the hypothesis is successful then a scientist can take the next steps, by presenting the hypothesis along with the tested data before PEER REVIEW.
If it is successful, then a scientist shouldn’t even bother with Peer Review.
A hypothesis that passed both Scientific Method and Peer Review have the chance of turning a hypothesis into scientific theory. A scientific theory is well tested explanations/predictions and is considered to be science.
A hypothesis only has a POTENTIAL of being science, only if it has pass requirements of both Scientific Method and Peer Review.
I said "potential", because even if you succeed with meeting the requirements, your hypothesis may fall because another scientist may have a better tested alternative hypothesis with more successful modelling than yours.