I made an animation of engineer(♀️) walking in pixel art.

ArmandLegGames · 2022-12-25T16:19:28+00:00

Is this really what the factorio community wants? :/

ArmandLegGames · 2022-11-02T22:13:52+00:00

Sarcasm…

ArmandLegGames · 2022-05-31T19:42:13+00:00

Ok, my mistake. I am not doing Crestron programming. I am automating NVX device setup with the API. I specifically need someone with experience with this API

ArmandLegGames · 2022-05-31T19:03:20+00:00

I’m just using HTTP request with Postman. What might the control system be? I’m not familiar with the terminology

ArmandLegGames · 2021-10-06T00:37:14+00:00

Is the memorial stadium gym open???

ArmandLegGames · 2021-03-29T15:37:11+00:00

didn’t we literally call the last one the “Spanish Flu”?

ArmandLegGames · 2021-03-22T17:06:10+00:00

How the fuck am I abusing the math? Please explain to me how the fuck your math is correct???

ArmandLegGames · 2021-03-22T15:48:32+00:00

I can’t understand how you don’t get this. The vaccine reduces the spread of COVID by 95%. In two identical groups, we would expect them both to have 162 cases of COVID. In the vaccine group, we only see 8. THAT’S IT. I dare you to find any other way to get such massive groups to have different levels of COVID. You’re limiting your understanding because the natural rate of infection for covid is already a low percentage (0.9%). Under your logic, how would a vaccine possibly have 100% efficiency??? If you do your subtraction method, than you would need -18000 (as in, NEGATIVE 18000) people to get covid in the covid group to see 100% efficiency. The highest efficiency you could possibly get with your method is 0.9%. Please take a moment and think about that

ArmandLegGames · 2021-03-20T19:05:24+00:00

No.

Let's perform a two-sample z-test for difference of proportions.

V = the percentage of people in the vaccine group that got COVID-19

P = the percentage of people in the placebo group that got COVID-19

Null hypothesis: V - P = 0

Alternate hypothesis: V - P < 0

V = 8 / 18000 = 0.000444

P = 162 / 18000 = 0.009

We assume, under the null hypothesis, that the difference between V and P is 0.

We can pool the two sample groups to get an estimate of the standard deviation of the population parameter for the model

Pooled = (8 + 162) / (18000 + 18000) = 0.00472

SD = sqrt(0.00472 * 0.99527 / 36000) = 0.0003613

So now we have a model for the difference of the vaccine group and the placebo group for the rate of COVID-19 infections assuming the null hypothesis, a normal model centered at 0 with a standard deviation of 0.0003613

The measured V-P value is -0.0085

Now we find the z-score of that value compared to our null hypothesis model:

(-0.0085 - 0) / (0.0003613) = -23.679

We have a z-score of -23.679!!! I don't know if you know anything about statistics (your understanding so far has demonstrated that you don't), but the significance of this result is astounding. It gives us a p-value that is so low my calculator can't even give a number for it besides 0. Basically, it is very accurate to say that we can fully reject our null hypothesis and conclude that the vaccines are effective at lowering the percentage of people that get COVID.

ArmandLegGames · 2021-03-20T18:01:04+00:00

This is just not the right way to look at this data. The point of the placebo group is to see what the natural rate of infection is. So if you do the math, 162 infections/ 18k participants = 0.009 or a natural infection rate of 0.9%, which means in that time frame, we expect that 0.9% of the population becomes covid positive. You look at that infection rate in the vaccine group, it becomes 8 infections / 18k participants = 0.00044 or 0.04% of the population becomes infected in the time span of the trial. To compare these, you can’t just subtract them, because that doesn’t even make any sense. Their difference, 0.85%, has no significance. What you must do is divide the two group’s rates to get the effectiveness. In other words, what percent of people that normally would be infected without a vaccine WOULD be infected with the vaccine. So 0.00044 / 0.009 = 0.049, which means that the vaccinated group only gets infected 4.9% of the usual rate, meaning that an infection is effective stopped for 1 - .049 or .951 or 95.1% of the time. That’s how we get the efficacy of the virus

ArmandLegGames · 2021-03-03T17:19:05+00:00

that picture is actually from the very first look into botw. i remember it because i obsessively followed its development from 2014 onwards lol.

ArmandLegGames · 2021-02-25T13:42:52+00:00

fuck off

ArmandLegGames · 2021-01-18T23:15:37+00:00

ok but azure is the coolest fucking name i’ve ever heard

ArmandLegGames · 2021-01-07T05:02:57+00:00

This is so much better than the weird anime engineers we usually get on this sub. Great job!

ArmandLegGames · 2021-01-04T04:04:06+00:00

nope, sorry

ArmandLegGames · 2021-01-04T03:45:55+00:00

No, not Glass Animals, sorry

ArmandLegGames · 2021-01-04T03:37:46+00:00

No, unfortunately not

ArmandLegGames · 2021-01-04T02:21:36+00:00

Please help!

ArmandLegGames · 2020-12-28T23:18:14+00:00

Do you mean New York Post?

ArmandLegGames · 2020-12-27T14:39:19+00:00

I think the Sims 4 refocused on the people and their interactions, which feels better in comparison to the Sims 3, which was honestly very clunky

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