Recent comments in /f/dataisbeautiful

eric5014 t1_j0czpp1 wrote

You're right that it's a continuous thing, not just reaching a particular number. The early boomers are a big enough cohort now that them being a few years older makes a significant difference in death numbers compared to the average of last 5 years (and ABS skipped 2020 being atypical). In fact risk of death increases faster the older you get, so as the decade progresses we'll see bigger increases and exceed a trailing 5 year average by more than we do now.

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40for60 t1_j0cq905 wrote

I doubt it, to get Fusion to work other technologies need to be in place and some of the things they will need don't yet exist. Even Ernest Lawrence, the father of "Big Science", understood that. If we look at wind energy the deep shore mega turbines and platforms won't be ready until 2025 for mass deployment but this was known for a decade.

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EpsomHorse t1_j0cok6b wrote

> a) youre wrong in general

The article says I'm right as rain. Do you happen to have some proof of your opinion, because "youre [sic] wrong" doesn't really cut it.

> b) if you were right, you would still be wrong. it would be your boss' fault you got laid off, not the immigrants'

I never said it was the fault of the immigrants. It's the fault of immigration. Not the same thing.

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oddiseeus t1_j0cl9wl wrote

Im hoping someone remembers and can point me in the right direction. I’m looking for a data visualization concerning voting. I cannot remember if it was posted here or on /r/MapPorn. It showed two maps; one showed states entirely red or blue giving a false impression the entire state voted Democrat/Republican. The other showed voting by population centers represented by circles. The circles size portraying how the varied population densities had voted. Was it posted here?

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gatogetaway OP t1_j0cii18 wrote

You are right if seasonally adjusted numbers are used.

However, the values are not seasonally adjusted because seasonal adjustments don't really apply (or shouldn't) to YOY numbers, the focus of the chart.

The main idea is the YOY numbers are well out of date by the time they're published and may not reliable indicators of the current state of prices.

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gatogetaway OP t1_j0chvzz wrote

>A general audience would probably find this confusing without additional explanation.

Agreed. Fortunately, the audience here tends to be more chart savvy.

The YOY CPI change for November (centered on 11/15) is reported around 12/15, so that introduces 1 month of delay right off the bat.

A YOY change is also an average of the 12 most recent monthly inflation numbers (actually averaging log(1+MonthlyInflation) and annualizing it is more accurate). Regardless, an N-sample average introduces a signal delay of (N-1)/2.

In the case of YOY, the delay is 11/2, or 5.5. Add on the 1 month of delay in the reporting and you have 6.5 months. So, the number reported on 12/15 actually represents the inflation on 6/1.

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norb26 t1_j0cg892 wrote

I think the chart itself is fine to see which clubs have players getting different amounts of rest (or lack of) after WC. The problem is the data itself wrong and the visual doesn’t pass simple reasonability checks, like how there shouldn’t be any data to the right of a blank cell.

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