this post was submitted on 31 Dec 2025
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[–] EditsHisComments@lemmy.world 40 points 4 months ago* (last edited 4 months ago) (2 children)

This is horseshit. Boomers may be more strict about being there at a certain time, but they don't give two shits if you come in early or stay late.

I can't tell you how many times I or my Gen-Z coworkers would stay an extra 2-3hrs (or I would come in early) and none of that even mattered the day we come in a little late. Any other bosses and it's no issue, but fucking boomers seem to care more about being at work at a certain time rather than how much anyone actually works.

[–] Speculater@lemmy.world 20 points 4 months ago (2 children)

Correct. They're fixated on schedules without an ounce of concern for productivity. I wish they would all retire already. They fucking suck.

[–] RagingRobot@lemmy.world 13 points 4 months ago (1 children)

Also being in a physical location is super important to them for some reason even if it has no effect on the work being done.

They want the appearance of work more than the actual work. Being in a location is work for them

[–] Nollij@sopuli.xyz 11 points 4 months ago

A significant reason is they believe that since they had to suffer through it, so should you.

See also: student loans, cancer treatments

[–] Cnote5@lemmy.world 3 points 4 months ago

I believe they were potty trained at gun point.

[–] FelixCress@lemmy.world 5 points 4 months ago (1 children)

Earlier this year, the Oscar-winning actress Jodie Foster grumbled over her Gen Zers coworkers not showing up on the job until 10:30 a.m. Meanwhile, an MIT interviewer blasted the generation for always “being late.”

Plus, research shows that Gen Z’s flexibility with timing transcends the meeting room: They are more likely to miss deadlines than any other generation.

On average, Gen Z workers miss almost a quarter of their deadlines each week, compared to 6% for baby boomers and 10% for Gen X.

At the same time, young workers spend the most time on unnecessary tasks and pulling overtime.

[–] ScrambledEggs@lazysoci.al 21 points 4 months ago (2 children)

Did they consider that the workload has increased and due dates and pay has not? Everywhere is "understaffed" that is a choice by the company. The extra work is divided among the existing employees, thus making it more difficult and unrewarding to hit these deadlines. I say meh.

[–] PurpleFanatic@quokk.au 9 points 4 months ago

Shhh!! Stop drawing attention to the systemic problem that’s causing these statistics! Young people bad! 

[–] tgcoldrockn@lemmy.world 17 points 4 months ago (1 children)

the date you were born does not create a valid grouping for behavior analysis . this simplistic phony bs needs to stop.

[–] stoly@lemmy.world 9 points 4 months ago (1 children)

You can look at people born between dates X and Y and ask them questions then ask the same questions to people born between dates Y and Z and then compare. That's all this article did.

[–] tgcoldrockn@lemmy.world -2 points 4 months ago (1 children)

you could do the same for race , sex, eye color, people who wear flip flops. If its not repeatable then its really drivel.

[–] stoly@lemmy.world 7 points 4 months ago (1 children)

It sounds like your real issue is with how social sciences work and not the contents of this article.

[–] tgcoldrockn@lemmy.world 1 points 4 months ago (1 children)

My real issue is with false and misleading information.

[–] stoly@lemmy.world 5 points 4 months ago (1 children)

What is misleading? They asked a whole lot of people a simple question then reported the results back. This is hard data that is analyzable.

[–] tgcoldrockn@lemmy.world 1 points 4 months ago (2 children)

The sample size is such a small percentage to the group size it can not be conclusive on any level. A quick estimation - Gen Z could account for over 1.2 billion people. The sample in the article is 1000 British people which is 0.0000833%

[–] stoly@lemmy.world 7 points 4 months ago

Now I see that your issue is really with statistics.

[–] isyasad@lemmy.world 2 points 4 months ago

Though it's unintuitive, the validity of a sample size has more to do with its literal value/size than how it compares to the total population.
If you have a sample size of 1000, your predictions about the 2000th individual in a population of 2000 will be just as accurate as your prediction about the 10,000,000th individual in a population of 10,000,000.
A bigger sample size is better, but it has almost nothing to do with the total population, it doesn't matter if it's 1.2 billion or 100 trillion.

[–] Alvaro@lemmy.blahaj.zone 10 points 4 months ago

"You are 10 minutes late!!!😡😡"

"You have to do unpaid overtime to hit the shareholders kpi 🥰"

[–] RagingRobot@lemmy.world 8 points 4 months ago

Baby boomer bosses are all going to die soon anyways