Reminds me of the o-ring on the challenger

No, thanks. Unions make jobs go overseas.

Lol. I’m not worried about the pinkos, they have no backbone.

I’m also in no way a professional writer.

I have one. It also sucks to ride for an hour, you’re eaither sweating, freezing or some other form of uncomfortable.

If you’re really interested…

Let’s say you want to know how an ad has affected your sales since it was released 3 months ago.

You could put every single sale as a dot on a graph, but it probably wouldn’t mean anything. Even if it showed the dots gradually getting higher on the chart. Was that caused by the ad or does it happen every year at the se time? What other factors could have caused this.

So I’ll pause right there and say you will never know. You will never know all the forces that affect trends. You can get relatively close, but not. Does weather affect your sales? Delivery time? Internet sentiment?

So that’s not very scientific, right? You need to know and control all variables to test an outcome.

Anyway, so you have a graph with dots and it may or may not mean anything. You think, ok what was last year’s sales during these same 3 months?

So you get last year’s data and plot the sales as dots in a different color. Now you have a graph with a ton of dots of two colors, and best case scenario: the dots for this year are higher than last year.

Is it responsible to stop there? If it were me, and my money, I’d want to make sure. So then you’d compare data from two years ago. Now you have a chart with three colors of dots.

Again, best case, this year is higher than that year too. However, as always is the case, the dots are getting difficult to understand, especially for people that don’t know anything about data. You need to make things simple to digest.

So you say “I’ll make an average of each month” and that will show how the averages are getting bigger, compared to previous years. Great!

So you average all the dots by month and plot them on a graph, and it looks great. But there are a few months that don’t prove what you saw in the raw data. For instance, one month, two years ago, you landed a big contract and sold an astronomical number of units. So that month is the biggest one of all.

Ofuck.jpeg

Ok, no problem, you’ll just remove those two data points, because they are skewing the day. Again, this is best case. Most of the time you will not be sure if these data points are errors in the data or Genuine sales. But anyway…

Luckily there is a method for removing “outliers” it’s called standard deviation, and it’s basically an equation that figures out what is an acceptable outlier and what isn’t.

Again, I’ll pause here to point out how unscientific this is. You are removing data because it doesn’t follow the trend you want to show. And this is a perfectly acceptable practice in data analytics. And I’ll point out something else, what was the affect of those contracts on your normal business sales? Did you make relatively less sales because of it? Is it responsible to completely remove those sales? Is it ethical?

And this is all very minor stuff in analytics. The more detailed the question, the more the data is “cleansed” by equations that get progressively more complicated - the more ethically vague the data is.

How about this weather?

Don’t underestimate small talk. It lets people take their wall down.

Data analyst here. It really do be like that. You can use stats to prove anything.

Yfw they say data doesn’t lie. Looool

Yeah, I’m not going to spend 6 hours driving a bicycle to work and back.

I am that uncle. I’m just doing what I have to to survive.

If I could buy a new car I would. I’d get an electric, self-driving pleasure machine, but no way I can afford it.

Maybe when this thing breaks down (it’s already 15 yrs old).

A $200k horror movie that can be out in 3 months. It’s about a serial killer who steals the teeth from his victims.

My script mixes highly defined characters, supernatural cosmic horror, and old world body horror. It’s goes off the rails in terrifying and fun ways.

Ps: I actually have a script ready to go and have no hangups about scabbing.

I think op hasn’t heard of web components. Technically it requires js, but still it will replace react and angular and vue soon me thinks.

Right. Magically, everyone on the Internet has become infatuated with communism out of thin air over the last few years. Must just be my paranoia to surggest influence from a hostile government.

Lemmy is whatever we make it, except for the communism posts that love communism until they realize workers need representation. I half believe those are Chinese bots or high school kids who are stupid enough to believe the Chinese bots.

Works out for me, cheesy Xmas movies are a treasure. Plus, if they’re Hallmark, oh fuck, that’s good.

Is there an English version?

Yeah, fuck that. English is bs enough.

Edit: yeah, that “feeling” is knowing it so well, you don’t totally understand it, and also means it’s hard to convey

This is giving me stress daymares about Spanish in high school.

Still, it’s an interesting point you make.

But then again, with definitive articles you have a bunch of things that are not supposed to convey gender conveying gender. Like a toaster… It would suck to have to remember the gender of a toaster, or, well toasters in general.

Also, a way to never have to work again!

I hear what you’re saying.

First, I hard disagree with you. Overwriting my local version of code is a parachute - not an ideal landing, but better than merging by hand.

Also, my comment was not an attempt to teach everything about git, just to explain what is happening in simple terms, since git requires a lot of experience to understand what those messages mean.

Great meme, and I’m sure op knows this, but for anyone else who is curious…

007 in theory means:

• 00: you have already committed your code to your local code base
• 7: When you try to merge your code with everyone else’s there are 7 files that others have worked on since you last refreshed your local code base.

To resolve this, you need to go file by file and compare your changes with the changes on the remote code. You need to keep the changes others have made and incorporate your own.

You can use git diff file_name to see the differences.

If you have made small changes, it’s easier to pull and force an overwrite of your local code and make changes again.

However multiple people working on the same files is usually a sign of organizational issues with management. Ie, typically you don’t want multiple people working on the same files at the same time, to avoid stuff like this.

If you’re not sure, ask someone that knows what they’re doing before you follow any advice on Lemmy.