As your first grade Science teacher should’ve told you, the most important thing in science is the scientific method. But again, that was a simpler time, where maths was just arithmetic and you’d actually get the cookies you added up. Still, the scientific method is still important, so I’ll have to teach it first.
I’ll let FUNKe give you an example:
Although it might not seem like it, FUNKe’s “Undercover Pros” can be seen as an experiment.
An experiment is a process used to test someone’s hypothesis by changing variables and seeing its effects in a controlled condition and using the results to support or reject the hypothesis.
A hypothesis is a guess or theory on why something happens.
FUNKe’s hypothesis is that no matter the type of sniper, his team will appreciate him as a valuable member of the team.
In order to prove his hypothesis, he has to test out as many types of snipers as possible to make sure all the types are appreciated by the team.
A variable are the factors your experiment deals with. There are 3 kinds:
An Independent Variable is the cause or proposed cause of an effect. For FUNKe, his independent variables is the number of tours (how experienced the person seems to be), meta-ness (how much the player sticks to his “expected” role) and talkativeness.
A Dependent Variable is the effect of the causes above. For FUNKe, his dependent variable are the team’s reaction to his actions (eg. get fucking kicked).
A Controlled Variable is the factors that might affect your experiments result and because of that you keep them the same throughout the tests. For FUNKe, his controlled variables include the class played (sniper), the game played (TF2), the gamemode (MvM), actual experience, account name, number of players etc.
It is important that FUNKe keeps the variables he’s not testing for the same. This is why he uses another account instead of his well known one, or his team won’t kick him as he is famous and affect his results.
Another thing FUNKe uses is the control. The control is trial where no variables are changed, that is the 0 tour snipers. The control is needed for comparing the results to the other trials and what effect the variables have on the result.
After experimenting, you need to organize your collected data into something meaningful. Usually we use tables and graphs to look pro af. Some people even use those graphs on excel that no one understands or uses to make them seem extra pro and classy. Those people are stupid.
Say we put the data into a table like this:
|Type of sniper||Meta sniper 0 tours||Meta sniper 134 tours||Non meta sniper 0 tours||Non meta sniper 134 tours||Chatty sniper 0 tours||Silent sniper 134 tours|
|Reaction from team||Insta-kicked||Insta-praised||Kicked||Insta-praised||Reluctantly ignored||Insta-praised|
We can put data in 2 types:
Quantitative data is numbers
Qualitative data is words
Obviously, the data collected here is all qualitative, but in most experiments, the data collected should have as many numbers as possible, as scientists like that kinda shit.
So what can we tell from the data collected?
First off, the data rejects his hypothesis. In 2 of the tests he was kicked by his team, meaning his team doesn’t like him as a sniper, which is opposite to his hypothesis.
Secondly, we can see that snipers with 0 tours (inexperienced) are likely to be kicked out of the team. Whereas snipers that are experienced will likely receive praise.
Thirdly, we see that being chatty and making yourself seem knowledgeable and experienced can save you from being kicked from the team for having 0 tours, whereas it doesn’t seem to matter for snipers that are experienced.
Since the hypothesis has been rejected, does this mean his experiment failed?
No, because he can still use the data to make a new hypothesis that can be tested in another experiment. For example, he can test for whether experience affects the reaction to other classes (such as scout) or in other games (such as Counter strike)
He can also find ways to make his results more accurate. Some ways include:
Doing more trials (eg. testing each type twice)
Keeping more variables constant (eg. Using the same team/same cosmetics)
Testing for more variables (eg. Playing with 60 tour snipers)
And that’s basically what science is. People guess and check their guesses. If the results are against the guess, they cry in the corner and something inside them breaks a little. Then they try again. If the results are supporting the guess, the celebrate and brag until someone else proves them wrong (you can’t “prove it” in science because you never know the truth, just that it might be the truth. For example, whether you’ll be kicked from the team might be because of whether you have fancy hats, and not because you have alot of tours) and they cry in the corner and become evil ex-scientists and plan on destroying the world or something.
And that’s science for you.
So thank me, and remember, notes are for the weak.
Click here for problems
Click here to go back to the Physics menu
Click here to go back to the Chemistry menu
Click here to go back to the Biology menu
Click here to go back to the Homepage