What leads you to think that going up the hill can give you a more interesting perspective? I would argue that experience gives you that idea. Gear can often help provide those experiences, for example if you had a drone at your disposal you could experiment with different perspectives and integrate them into your thinking about composition.
I consider past experiences as tools. To call upon a particular experience is to make a value judgement. That is, you are free to accept or ignore past experiences in the present. It's for this reason I considered my example to be from the conceptual perspective.
Now, if you decided to bring a drone with you, it's because of a technical and/or value judgement. For example, a specific drone may be chosen to shoot a scene because of its compact size, so for technical reasons you bring it. In a different scenario you might make a value judgement to bring a drone because you believe experimenting with the drone could yield some interesting results.
The footage you capture from the drone can be viewed from a conceptual and/or transformational perspective. For example, you can make a value judgement of the quality of a shot or learn of a different possible perspective while experimenting, assuming you didn't already know about that type of perspective or missed details.
It's not a question of what you as an individual know, it's a question of whether a theory is refuted by evidence or not. And it is absolutely based on experiment and experience.
I didn't say that it was a question of what you know as an individual, what I said was that it was a question of how you know what you know. Those are two different concepts. It's "I saw a cat." vs "How do I know I saw a cat?". Whether a theory is refuted by evidence or not is a consequence of the later type of questioning.
I'm going to go through each step of the scientific method to better illustrate what I mean, but before I do I need to make sure I clear up one point.
Science is difficult to discuss if everyone has different concepts for the same words. This is especially true with the word "experiment." For me, experiment has three distinct meanings:
1. Trial and error (Colloquial General Sense)
2. A test of validity (Colloquial Scientific Sense)
3. A process done by an experimentalist (Formal Scientific Sense)
In the previous section the word "experiment" was used in the colloquial general sense, this section you were quoted in the colloquial scientific sense, and when I talk about the scientific method I use it in the formal scientific sense.
The Scientific Method
1. Observation
Experience the world and develop a model of it in your mind. Along the way something may catch your interest. Perhaps you see a pattern, run into a problem or simply like something. Write down everything you know about it.
You now have a bunch of raw data. If you observe patterns in this data, the patterns will be called conjectures.
But how do you know that your observations are verifiable and representative? Or put another way: How do you know what you know is verifiable and representative?
2. Research
You must look again to find evidence to support the observations.
Read and cite papers, refer to principles of science and math, increase your sample size, etc.
Through this process you refine your data. You can continue this process to infinity if you like.
It's like putting rocks in a rock tumbler and leaving them in.
But what if instead of leaving them in, you took them out when they got shiny enough?
3. Hypothesis
You try to observe patterns in this refined data, where the patterns are called hypotheses.
A hypothesis is a hierarchy of observables. For example, in "there may be bears that have brown fur," the hierarchy of observables is (bear, (fur, (brown))). In other words, the fur has the property brown and the bear has fur.
But once again you are confronted with a familiar problem:
How do you know a hypothesis' observables all exist and in a specific relational order? Or put another way: How do you know what you know exists and in a specific relational order?
4. Experiment
You find evidence to support the hypothesis.
But how do you do this? You must first observe the hypothesis' observables within the reality the hypothesis is based on.
Unfortunately, this isn't an easy task because even if you know the hypothesis' observables, how you do you know you're observing them and not something else?
You must find evidence to support that you are indeed observing the observables you are observing.
Only when you have found sufficient evidence, in a process known as reducing experimental bias, can you say, with a margin of error, that you've observed the observables or taken a measurement. And if you can observe all the observables in the specific relational order dictated by the hypothesis then you'll know the hypothesis is not false.
For an experimentalist, whether the hypothesis is false or not false is not and should not be important. The work is in developing schemes to know how to know what you are observing.
And, just like in research, you can keep the rocks in the rock tumbler for as long as you want to continue reducing experimental bias, but at some point you just say, good enough.
That's why you can never prove a hypothesis true, you can only prove that it is not false.