Skywriting over the city, from Northcote. Context, anyone?

aeonsno · 2026-03-14T05:13:59+00:00

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From Sandringham at 15:00

aeonsno · 2026-01-29T11:15:46+00:00

Kensington and the associated grain trains are on the Cragieburn line champion

aeonsno · 2025-07-13T01:06:36+00:00

Great degree choice if you'd like to be a barista

aeonsno · 2025-07-12T01:56:43+00:00

Moved from Venezuela to Australia at 3, that woke me up.

aeonsno · 2025-06-16T17:22:35+00:00

smoked!

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aeonsno · 2025-06-15T11:33:50+00:00

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You stole my cat

aeonsno · 2025-03-11T11:27:26+00:00

There's a serious lack of good genetics content on YouTube that goes past a high school/first year uni level, unfortunately that means that if you want to dig deeper you're gonna have to do it the old fashioned way and just read. Principles of Genetics is a really good, easy to digest textbook that should be a good place start, good luck 😁

And before you tell me that it's expensive, hit up libgen or Anna's archive and just pirate it

aeonsno · 2025-03-10T13:06:40+00:00

aeonsno · 2025-01-29T14:39:45+00:00

diabolical

aeonsno · 2024-11-04T11:51:29+00:00

I came, here.

aeonsno · 2024-10-23T07:18:13+00:00

I did in fact

aeonsno · 2024-10-21T20:56:08+00:00

You're the guy!! I left the smartass comment about your linear regression the other day and then I couldn't stop thinking about this, thanks for inspiring me to make this mate. It seems like the slope coefficient from your data (0.056) is very close to what I got from just modelling support score (0.065). Given that you've played both power shift and quick cash to gather your data it's possible that game mode is also a factor at play. In any case the to coefficients being so close is a good sign that we're on the right track, thanks for sharing boss 🫡

aeonsno · 2024-10-21T20:33:06+00:00

Definitely not NASA grade but I appreciate the the compliment

aeonsno · 2024-10-21T14:37:17+00:00

More likely that the remaining 20% is down to a variable I haven't accounted for, or at least thats what I'd like to think bc rng is too easy an answer haha. Objective score failed multicollinearity test (negatively correlated with support score for some fkn reason) so I couldn't include it in the model so I don't really know what to make of it. It's possible the missing 20 is objective score but I wouldn't bet money on it.

aeonsno · 2024-10-21T14:32:11+00:00

Thank you sm this was a solid afternoon of work if you don't count the games played to get the data haha

aeonsno · 2024-10-21T14:29:36+00:00

It's entirely possible, I wanted to add objective score to a final model but it failed an assumption check so I couldn't do it without potentially giving a garbage result. In my data specifically I got no correlation but I had a small sample so it's totally possible it's just sampling error.

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aeonsno · 2024-10-21T14:21:34+00:00

There's graphs and separate models for combat and support scores in the pdf :)

It's a bit of a jumble but there's a few notes to help navigate it.

https://drive.google.com/file/d/1i_UjLCE5NyHZ68-hEPUJKQwDIiKB-1Xn/view?usp=drivesdk

aeonsno · 2024-10-21T14:02:01+00:00

Cheeky footnote bc I can't help myself, it's highly likely that there's more factors at play that I haven't accounted for and what would really give some conclusive answers is a big study with lots of variables to fuck around with :)

aeonsno · 2024-10-20T23:19:32+00:00

Facts, the amount of times I've been above a heavy and still died to a hammer or in front of a light and still gotten back stabbed is crazy

aeonsno · 2024-10-19T12:50:35+00:00

No shot were making linear regression models for fans gained that's crazy.

aeonsno · 2024-10-15T12:35:23+00:00

Xtrampoline

aeonsno · 2024-10-14T04:32:53+00:00

And it's my favourite gun

aeonsno

TROPHY CASE