@eddie.z

ATTENTION (Part 2):
It is likely that YouTube has pushed this video to you, and if you're seeing this, I'm glad you're here. A few things to note:

- I misuse the terms "Evolution" and "Species." To clarify, there is NO EVOLUTION involved in this project, it is just to simulate behaviors and show the relationships between population and food source
- The numbers presented at 8:22 are ridiculously rounded, I, unfortunately, do not have the data anymore (since this was a year ago and I had no clue what I was doing) but, keep that in mind.
- The math at 6:00 is wrong please stop correcting me, the correct value is around 9.56% chance of death per attack
- I am also aware that the video is 9 minutes, not 10, that is because I was rambling about things for the last two minutes which weren't necessary. 
- and some more, if you have any concerns related to this video please tell me in the comments.

Here is the part two:
https://youtu.be/52ZeHGGEf6o

@evanreichelt8745

I love how this guy is using economic terms to describe things in ecology

@davidebertoni719

For the next video, try to implement that every species originate from only one, i think that in this way the outcome will be far more balanced and intresting

@HarnaiDigital

WOW. that was way better than I expected this video to be. The fact that you used real life examples to Explain this shows the love toward your viewers. Good luck with the sequel.

@davidcarter7880

The ability for creatures escape death if it encounters a hostile would be a good move. Animals know they can avoid trouble or even escape from predators. Rabbits escape from large cats all the time, death is not certain.

@ClipperDev

Actually you could write a scientific paper on this, it’s a great topic

@downer2846

Gotta leave a comment to help with algorithm. Channel is very underrated

@Darklight-oh1yo

honestly I'd love to see a series built off of this kinda stuff where they add new things every episode or something like, and eventually we have a giant ecosystem that I would think would be super interesting to watch do its thing

@emilyjadeoliver

If you want to understand how an ecosystem regulates itself, look at the Wildebeest population of the Serengeti. When the population is too high, there isn't enough food to go around (after their migration) and they essentially starve to death, which means that the next year, there will be more food to go around, essentially allowing for newborns.

@Lumpology

lookin good, interesting how this video has just now hit the algorithm.

@rzguy

Nice vid, but i don’t think 10 x 1% is 10%. if the predators had a 1% chance of dying 100 times it doesn’t guarantee their death, therefore 1% x 100 ≠ 100%. the same goes for 10 x 1%. it is close though, in decimal form the equation is 1 - 0.99^10 or 9.56%. Great vid though keep it up.

@wazaDev

wow, video is really nice and the editing is mind blowing. reminds me of Sebastian leagues video

@vaule2930

Your video is booming while I just reached 20, Good Luck!

@kevnar

Where's the simulation where a few powerful aggressives enslave all the passives to bring in food for them while they lounge around like kings?

@JayDayKay

For this being your first video you knocked it it of the park! Everyone’s first video has flaws and they usually improve from that, you earned a subscriber

@TheShelfman

You have a very interesting way of presenting your videos that's both entertaining and relaxing. I can see your channel getting bigger once you've gotten the hang of things more! Very nice job. Looking forward to seeing future videos :D

@Zer0Solution-g3i

i love the fact that this was inspired by primer, but you also added your own spin on things instead of just copying like I was expecting for the first few minutes like both aggressive and passive prey along with actual predators, really good stuff keep it up!

@Magicpencil-go6ke

112k... Congrats man you've grown alot also congrats on 1.5k

@UnityGameDev

Yo congrats again this vid went up real fast

@foglik0151

The probability maths with the predators is wrong, it is not 1% * 10 = 10%. The chance of survival of one attack is 99% which means the chance of survival of 10 attacks is  0.99^10 = 0.904382, which means the chance of death is about 9.56%... Still a really good video tho :) keep creating videos like this!