• 3 Posts
  • 19 Comments
Joined 1 year ago
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Cake day: November 19th, 2023

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  • Ugh can’t believe I’m guna do this but it’s understandable to layoff an employee not knowing they’re on maternity/paternity leave since the pandemic. I am only speaking for NY State, and know it’s different state by state. After covid they did the paid family leave and maternity leave changes that I thought were done at federal level but could be wrong. If the woman was laid off SEVEN MONTHS into her maternity leave then she was using googles maternity leave plus paid family leave which is federal, plus whatever Cali gives you for time off. Correct me if Im wrong but no state or company is giving 7 months paid maternity leave.

    What i was getting at tho is, with some of these maternity/paternity leaves, you can disperse them over a couple months. What this means to an HR dept is, an employee could go thru the company’s allowed time off, then use the states, then use the fed.

    I know it’s google and I’m speaking from the experience of running a small business but HR is making “i’s” get dotted, paychecks don’t bounce and state and federal paperwork is files for all scenarios that demand it. I could see it being very easy to lay someone off not realizing they are on maternity leave and not just out on disability or sick leave.

    I mean who the fuck takes 7 months off for a fuckin baby anyway🤣 what are you guna do jump back into the routine like you didn’t miss a step so they layoff your fill in? I looked it up and according to google themself they just increased their l3ave to 24 weeks. So she spent the maternity leave and was prolly using vacation or the other options. In which case why would google be liable?










  • Obligatory preface written after comment was written:

    I am in no way a statistician or data analysis guru. I admit I could be looking at this shit entirely wrong and welcome anybody who corrects anything I I’m looking at incorrectly.

    Actual comment:

    The entire report itself is skewed as fuck before Rolling Stone cherry picked the fuck out of it for the article to slam Tesla. Listen I’m as sick of Elon as the next but these fucking shit on everything Elon hiveminds are so much more fucking obnoxious. Theyre always 10 to 1 comments by people who didnt read the article to comments by people who did.

    At the end is the actual image from the site that issued the report. I didnt bother with a source link because it’s right in the article OP posted.

    Issues with the article and report:

    1. The figures are not for every car on the road it only covers cars made between 2018 and 2022. Not a big deal but still deceiving as fuck to theme the article as Tesla has one of the highest death rates. Cuz they left the time frame out of the RS article. Kinda how they left out the fact that only 1 tesla is in the top 6 and the other Tesla is second to last with a flood of much larger much more common vehicle names that fill in between 1 and 23.

    2. Each rate is calculated off 1 billion miles driven per year. When you put any Tesla model up next to any Ford, Honda, GM, Toyota, etc the % of all teslas on the road are going to be ridiculously higher than the % of the other much larger industry makes and models on the road that it takes to reach 1 billion miles. Because idk if I explained that well here is a made up scenario to illustrate it. Let’s say there are 1000 teslas on the road compared to 1,000,000 Prius on the road. The tesla death rates are based out of 1000 Teslas driving 1,000,000 miles each. Whereas the Prius death rates are based off 1,000,000 Prius’ driving 1,000 miles each.

    3. Remember point 2 as it plays into point 3. The method they used to calculate the rate outlined in point 2, I believe is normal when govt is figuring out vehicle death rates by category, location, driver age, etc. However the study they reference is specifically for death rates per vehicle make. Which makes the methods used for calculating deathrate by make and model completely fucked. They should’ve done the same number of cars per each make and model type as well as the same miles driven to get a comparable outcome of death rates per make amd model over 4 year span.