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Affiliation (3)

SOMEBODY ONCE TOLD ME

i'm trying to stay away from the hell that 8chan is right now.

I ran out of tissues so I came here, I hope you don't mind.

hhhhhhhhhhhh

I was running out of meme fuel, and I recently heard that old memes are an extremely green and renewable source of energy, and that they're commonly found on old textboards like here.

>I also like feeling retro edgy

All you did was look like a retard lmao

i like textboards and since there's no real super active english one i've just been looking for a bunch of them.

┌───────────────┐

＿＿| Ｈ ａ ｐ ｐ ｙ ★ Ｃ ｈ ｒ ｉ ｓ ｔ ｍ ａ ｓ |＿＿

＼ ｜ | ／

／ ￣￣￣）￣￣￣￣￣￣￣￣￣（￣￣￣ ＼

＿＿| Ｈ ａ ｐ ｐ ｙ ★ Ｃ ｈ ｒ ｉ ｓ ｔ ｍ ａ ｓ |＿＿

＼ ｜ | ／

／ ￣￣￣）￣￣￣￣￣￣￣￣￣（￣￣￣ ＼

Murray Krizzus

And a wholly new year

It's that time of year again! Merry Christmas, 6ch.

It's the middle of July!

>>8

That's only in the southern hemisphere.

For real

I don't want it to die. I want it to live forever.

│This site is dead, I can danse macabre now.

└───v───────────────

／⌒＼ ／＼

/'⌒'ヽ; ＼ ／＼ |

（●．●） ）／ |: |

>冊/ .／ |: /

/⌒ ミﾐ ＼ 〆

/ ／ |::|λ| |

|√7ミ |::| ﾄ、 |

|:／ V＿ハ |

／| i |

и .i Ｎ

λﾍ、| i .ＮV

Ｖ＼Ｗ

／＼ ／⌒＼

/ ／＼ ／ ／'⌒'ヽ ／￣￣￣￣￣

| / ＼（ ;（● ,,●） ＜ Ranta tanta tanta tan

ヽ | ＼ ヽ冊< ＼＿＿＿＿＿

ヽ| ／ 彡 ⌒ヽ

|γ|::| ＼ ヽ

ｲ |::| ミ7￣ |

ハ.＿V |:|＼ |

| V__ﾉ＼

Ｎ i. и

VＮ. i |、ﾍV

Ｗ／Ｖ

└───v───────────────

／⌒＼ ／＼

/'⌒'ヽ; ＼ ／＼ |

（●．●） ）／ |: |

>冊/ .／ |: /

/⌒ ミﾐ ＼ 〆

/ ／ |::|λ| |

|√7ミ |::| ﾄ、 |

|:／ V＿ハ |

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и .i Ｎ

λﾍ、| i .ＮV

Ｖ＼Ｗ

／＼ ／⌒＼

/ ／＼ ／ ／'⌒'ヽ ／￣￣￣￣￣

| / ＼（ ;（● ,,●） ＜ Ranta tanta tanta tan

ヽ | ＼ ヽ冊< ＼＿＿＿＿＿

ヽ| ／ 彡 ⌒ヽ

|γ|::| ＼ ヽ

ｲ |::| ミ7￣ |

ハ.＿V |:|＼ |

| V__ﾉ＼

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VＮ. i |、ﾍV

Ｗ／Ｖ

>>25

I can't remember if I made this post or not. I think I did.

less dead than 4-ch at least

I browse stupid websites.

>>60

Why? The original animated short feature by Patrick Jean was a clever and original homage to the 8-Bit era, and expanding this into a full blockbuster movie extolling what made those classic games classics, and what we lost with the current generation of casual games, can only be a good thing, bound to go down in cineastic history as one of the timeless greats.

I have very high hopes for this movie, and am looking forward to seeing the world destroyed in bright, cheerful colours.

>>61

You will be disappointed. Why? Adam Sandler.

Hello thread

Goodbye thread

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( ´ー｀) ＜ Hello, I am VIPsaurus ask me anything.

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As it happens I actually study chaos theory (amongst other things) in meatspace, and I can confirm that, as the words are used colloquially, the distinction between order and chaos is pretty meaningless. If you mean chaos as in systems that are chaotic in the mathematical sense, and order as in any other system, then I suppose it's a valid distinction, but even then there's weird borderline cases like transient chaos - not to mention all the wacky shenanigans that happen on the boundary between laminar and turbulent flow. Chaos is great fun though; it's nothing to be scared of. Well, actually, maybe you should be a little bit scared. But only a little bit.

>chaotic in the mathematical sense

Could you expand on that some more?

>>354

Yes, yes I could! Though there's still some disagreement on finer points, the definition I've heard given is:

*"Chaos is aperiodic long-term behaviour in a deterministic system that exhibits sensitive dependence on initial conditions."*

Aperiodic means that the system never gets back to where it started (e.g. an undamped pendulum, after swinging away and back again, ends up where it started, so it's not aperiodic) or just doesn't change (e.g. a pendulum hanging vertically, not swinging, is similarly not aperiodic). A deterministic system is one that completely obeys a set of well defined rules, with no randomness involved. Sensitive dependence on initial conditions means that if the same system starts from two slightly different states, they get exponentially more different as time goes on. You can measure this with what's called Lyapunov exponents.

Chaotic systems are famous for being extremely unpredictable (thanks to the sensitive dependence on initial conditions) without involving any actual random processes (because they're deterministic), which is pretty crazy when you think about it. It's also important to make clear that despite both being unpredictable, chaos is very different from randomness. Chaos isn't purely mathematical either; it shows up in many real systems, such as the weather, stock markets, animal populations, electrical signals, orbits in space, and heart fibrillation.

Though I'm not much of a programmer (I can just about fumble my way through Python and MATLAB and that's it) I know that some of the people reading this will be, so here's a little project that'll give you some idea what chaos is like. The following equation (known as the logistic map):

*x*_{n+1} = *rx*_{n}(1 - *x*_{n})

is used as a simple model for animal populations, where*x*_{n} is the population (expressed as a dimensionless quantity between 0 and 1) at the nth generation, and *r* is the replacement rate; a parameter which roughly corresponds to how fast/well the animal breeds. For *r* < 1, the population always goes extinct, which isn't very interesting.

Using a computer program, try investigating the long term (after a few hundred generations) behaviour of the system for different values of*r*. In particular, look at what happens for 1 < *r* < 3, then for 3 < *r* < 3.5, then for 3.5 < *r* < 3.57, and, finally, for 3.57 < *r*. To get a better idea what's going on, run the above system for many values of *r* between 1 and 4. Discard the first few hundred generations (while the system's still settling down to its long-term behaviour) and plot the next few hundred values of *x*_{n} on a plot of *r* against *x*. It doesn't matter what value of *x* you start with, so long as it's between 0 and 1. You should find that interesting things happen at *r* = 3, 3.5, ..., 3.57, and, perhaps, other values above 3.57.

For bonus can't-just-google-the-answer points, try repeating the above plot for:

*x*_{n+1} = *r*sinπ*x*_{n}

If you want to know more about chaos from a non-mathematical perspective, you should read*Chaos: Making a New Science* by Gleick, or *Deep Simplicty* by Gribbin. For those of you who aren't afraid of a little calculus, I highly recommend *Nonlinear Dynamics and Chaos* by Strogatz. If you can do multivariable calculus and Taylor series, that's about all of the assumed knowledge you need.

Yes, yes I could! Though there's still some disagreement on finer points, the definition I've heard given is:

Aperiodic means that the system never gets back to where it started (e.g. an undamped pendulum, after swinging away and back again, ends up where it started, so it's not aperiodic) or just doesn't change (e.g. a pendulum hanging vertically, not swinging, is similarly not aperiodic). A deterministic system is one that completely obeys a set of well defined rules, with no randomness involved. Sensitive dependence on initial conditions means that if the same system starts from two slightly different states, they get exponentially more different as time goes on. You can measure this with what's called Lyapunov exponents.

Chaotic systems are famous for being extremely unpredictable (thanks to the sensitive dependence on initial conditions) without involving any actual random processes (because they're deterministic), which is pretty crazy when you think about it. It's also important to make clear that despite both being unpredictable, chaos is very different from randomness. Chaos isn't purely mathematical either; it shows up in many real systems, such as the weather, stock markets, animal populations, electrical signals, orbits in space, and heart fibrillation.

Though I'm not much of a programmer (I can just about fumble my way through Python and MATLAB and that's it) I know that some of the people reading this will be, so here's a little project that'll give you some idea what chaos is like. The following equation (known as the logistic map):

is used as a simple model for animal populations, where

Using a computer program, try investigating the long term (after a few hundred generations) behaviour of the system for different values of

For bonus can't-just-google-the-answer points, try repeating the above plot for:

If you want to know more about chaos from a non-mathematical perspective, you should read

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>>355

Thanks for the intro, Chaos-explaining-senpai. Very interesting stuff - I think I'll check out those references.

I enjoy posting new threads on textboards.

>>33

What? Nietzsche isn't dead, I saw him just yesterday at the local coffee shop. He was hunched over his smartphone, tapping away and chuckling to himself about Schopenhauer's latest Tumblr post. He tried to chat up the waitress with some comment about his "will to get her number" but she just rolled her eyes and ignored him.

>>34

His Nazi buddies reanimated his corpse. How did you not notice that he was a zombie?

The greatest joy a man can know is to conquer his enemies and drive them

before him. To ride their horses and take away their possessions. To see

the faces of those who were dear to them bedewed with tears, and to clasp

their wives and daughters to his arms.

I'm sorry I had no other choice!

>>9,12,13

You just had to, didn't you‽ You could not leave well alone. Serves you right, in my opinion! Good riddance!

Now, let's get back to the topic of who d

> Get ... off

> ...jack off

for my tom/ota/chi :)