They do this with Early Access and people still lose their shit about empty content and unfinished graphics in a game they paid $10 for.

Quimby

I really loved your comment. I tried to reply to you, but obv couldn’t. Then tried to PM you, but couldn’t figure it out or I just can’t.

It was really insightful for both perspective on myself and on the community.

Go on…

Just curious if you can.

Oh, I’ve never looked into it, I just noticed it sometimes. I don’t say anything harmful or nasty, just unpopular so I expect downvote burial even before I hit the post button haha. I figure that’s how it’s always meant to work. Downvotes handle dipshit remarks, mods handle malicious ones. But seems entire conversations with multiple people get removed because, despite all the positive upvotes and people involved in a good ol’ fashion discussion, a mod has a different personal opinion and it all goes. Even the off-hand comments connected to that thread.

That’s a tough question in analytics lol

You mean mathematical examples? Or like examples of analytical outcomes? Keeping in mind the more analytics-heavy, the more it involves lots of sources, patterns, variables, and scenarios, but I could provide just a single example.

Edit: Oh, wait. If you’re referring to just averages… In forecasting I prefer, as a minimum, to do weighted averaging. This is where I’ll have a certain time period of cumulated historical data that provides a more stable base, however more weight is applied the more recent (relevant) the data is. This shows a more realistic average than a single snapshot of data that could be an outlier.

But speaking of outliers, I’d prefer to also apply weight to outlying data points that may skew the output, especially if sample size is low. Like 1, 2, 2, 76, 3, 2. That 76 obviously skews the “average”.

Above that, depending on what’s required, I’ll use a proper method. Like if someone wants to know on average how many trucks they need a day, I’ll utilise Poisson instead to get the number of trucks they need each day to meet service requirements, including acceptable queuing, during the day. Like how the popular Erlang formulas utilise Poisson distribution and can kind of handle 90% of BAU S&D loading in day to day operations with a couple clicks.

That’s a basic example, but as data cleanliness increases, those better steps can be taken. Could be like 25 average last Wed vs. 20 weighted average over last month vs. 16 actually needed if optimised correctly.

Oh, and if there’s data on each truck’s mileage, capacity, availability, traffic density in areas over the day, etc…obbioisly it can be even more optimised. Though I’d only go that far if things were consistent/routine. Script it, automate it, set and forget and have the day’s forecast appear in the warehouse each morning.

And yet such simple things are often incredibly hard to get done because of poor data governance or systems.

I miss those days…

I did advanced mathematics and chose physics as one of my elective subjects in school. Nowadays, I do a lot of work based around analytics and forecasting.

“We need to find the average of this.”

“That’s easy. I’ll do some more advanced stuff to really dial in the accuracy.”

“Awesome. What’s the timeframe?”

looks at million row dataset “To find the average? Like a month. Some of these numbers are mispelled words… Why are all these blank?”

“Oh, you’ll have to read this 45 page document that outlines the default values.”

And that’s how roffice maths works. Lots and lots of if conditions, query merges, and meetings with other teams trying to understand why they entered in the thing they entered. By the time the data wrangling phase is complete, you give zero fucks about doing more than supplying the average.

I don’t have children.

School nights are when all the kids that fuck my very old mother have to log off early, so I get to engage in venerable spray ‘n’ pray duels with formidable peers. For a couple hours, I am esteemed ‘average’.

How did Mary lose an entire pool?

It’s bad business to not be honest and trustworthy. If a hacker group is known to always give back the data and not strike twice, they are obviously much more likely to get paid. No one’s paying someone known for ripping off. We see this in company ransomwware all the time. They are friendly, helpful in explaining the breech, and professional. If they were the opposite, they’d be broke.

Not without a certificate of authenticity. How’s your MS Paint skills, though?

You’re welcome. The typo was a nice touch 👌

Didn’t think someone could waste the internet, but this “meme” is that low effort. It’s like something your 60 year old dad makes in a couple of years from now when he discovers what memes are and goes through a phase of trying to make memes for anything

Nationalist stuff is usually bad for people’s health.

If my phone’s in Bluetooth range, music is going to automatically start playing at high volume in about 10s anyway, because that’s always how I last existed the car.

Coincidentally my wife hates it because when she gets in the car to leave, it still gets connection to my phone in the house and starts blaring hard rock, psychedelic rock, journey trance, or syntheave.

That pose, “I just fucked up again and need a moment to think if there’s a way out of it.”

Maybe this planet is the only one that has biological genders and does the sex.

“Miss Universe, once again!”

“We’re all asexual beings, you weirdos. What kind of weak species need two versions to make another?”

There’s also a trap I think people get stuck in about earning more. It doesn’t make the job any less shit. If I had to choose, I’d take conditions and culture over pay any day. I’m at a point in life where I earn a good living. But last year I turned down a higher paying job because I didn’t want to deal with the shit I knew was going to be involved. $30K more a year and I definitely could do with that, but none of that means anything when you’ve hit the third month and you’re miserable and anxious and know this is what you’re in for now, everyday