It is a choice to have a disbelief rather than a belief. But to say you don't have a belief is false.
Your conclusions about the world around you are then seen through the prism of what you have chosen to believe, and therefore will read and listen to those that also see through the chosen prism of belief, even though many different beliefs are looking at the same things.
To then claim truth in disbelief through the process of occam's razor with merely the same things that everyone is also observing is a falsehood, as the assumptions made rely on a foundation of lessons taught in the unprovable, unseeable beliefs in the same way other beliefs operate.
If we all have the same evidence of that which we can see, but no proof of how it came to be, our conclusions are then simply based on what we chose to believe before the evidence was presented. A faith in which our conclusion about what is unknown is correct.
To choose to disbelieve about a belief is still a chosen belief in disbelieving.
That's not how it works my dude.
Ok, I suppose I'm missing an indefinite amount of millions and billions of years between the Pokemon evolving. Am I getting closer my dude?
Well no, It's just incremental.
Some basic examples are things like crops and farm animals. Carrots, cows, bananas ect. And how humans have changed them to benefit us.
Some other things to look at are how they're designing A.I with neural nets as it's a similar premise of incremental improvement over generations.
Nope, neural networks within modern A.I. optimize efficient search algorithms to make the correct guesses according to a high statistical probability using data collected over time. You say to yourself, "this is evolution!", but let me explain why your underlying belief is flawed with an example:
I guess it would be appropriate to ask you to show me a concrete process that starts with an non-fictional, autonomous, energy independent computer, that doesn't need to be upkept by humans, which successfully turns itself into a fleah-and-bone farm chicken.
Edit: "Over billions of years" is not a sufficient answer, and sounds absurd to me.
And they use the same basic principles as evolution, adaptation through selective reproduction. That data is collected with individual agents that are run in batches with the most successful being able to continue through mixing the traits while the failures are thrown away.
It runs 1000s of simulations of the same circumstances and picks the most correct response until you eventually you have an A.I that's very efficient at doing the task it's been assigned to do. By mixing the "DNA" (in this case, the coding) of the individual agents that have the most desirable results. Depending on the task assigned it can take millions of iterations, literal centuries of processing power. The Deep mind algorithm that was built to play league of legends in a 1v1 setting has about 100 years of game experience.
We've been using these exact same principles for thousands of years, with crops livestock and domesticated animals like dogs and cats. Just instead of selection from natural environmental hazards we did the selecting instead, in the case of those crops and animals. Changes in populations can happen over as little as a few centuries such as in the case of peppered moths.
But regardless, changes in a population through selective pressure exists. The time scale doesn't matter. It's just a basic thing that is, things change over time.