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31 votes
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How America fell out of love with ice cream
39 votes -
The death of a gun-rights warrior
33 votes -
How many users are here now?
Just curious how popular this place is now.
48 votes -
Covid kills nearly 10,000 in a month as holidays fuel spread, WHO says
63 votes -
The Monty Hall problem
22 votes -
Data show that the amount of sexual content in top films has sharply declined since 2000
33 votes -
What statistic is absolutely mind-blowing?
Contrary to popular belief, if you're in a position where you need CPR from cardiac arrest, you only have a 5-10% chance of surviving after an attempted resuscitation.
22 votes -
The relative share of Americans living in the West of the US has declined
21 votes -
Can YOU win rock, paper, scissors against Grey? 99.9999999% will fail.
40 votes -
The myth of the unemployed US college grad
31 votes -
The Dunning-Kruger effect is autocorrelation
30 votes -
The REAL reason ships go missing in the Bermuda Triangle!!!
9 votes -
Crime prediction software promised to be free of biases. New data shows it perpetuates them.
15 votes -
Hugo voting data from Chengdu WorldCon raises suspicions of vote tampering and incorrect eligibility rulings
31 votes -
Democrats are wrong about Republicans. Republicans are wrong about Democrats.
27 votes -
Can anyone recommend a specific type of statistics course?
I would like to find a good Statistics course to do for myself, and also to recommend to others, down the road ... one that specifically focuses on risk, and the discrepancy between actual...
I would like to find a good Statistics course to do for myself, and also to recommend to others, down the road ... one that specifically focuses on risk, and the discrepancy between actual statistical probability vs humans' intuitive sense of risk.
I recall a quote, which The Interwebs informs me right now, came from Albert A. Bartlett ... "The Greatest Shortcoming of the Human Race Is Man’s Inability To Understand the Exponential Function".
Alternately, Mark Twain popularized (but did not originate) the saying "There are lies, damned lies, and statistics".
That's the kind of course I'm looking for, that focuses on questions like how much should we actually worry about supervolcanoes, asteroid strikes, Covid 2.0, WWIII, Trump getting re-elected, etc.
There are two parts to this. One, people often (naturally, human nature, how our brains are wired to handle Risk) obsess about a short list of risks in life that are overblown, or appear to be more of a concern than they actually are.
The other part is, some things have a very small risk of actually happening, but when considered in conjunction with the potential consequences (asteroid strikes, WWIII, global pandemic), are still worthy of aggressive efforts to prevent ... and people often focus on the first element (statistically unlikely) and dismiss or overlook the second piece (devastating consequences).
Anyway, stuff like that ... ideally an actual, hands-on MOOC-type Statistics course, but even a good youtube video or blog article would suffice.
As usual, thanks in advance.
5 votes -
Risk of death related to pregnancy and childbirth more than doubled between 1999 and 2019 in the US, new study finds
58 votes -
Pornhub 2022 Year in Review
18 votes -
Suggestion: Show number of times a tag has been used
Roughly knowing how many times each tag has been used would provide users actionable information if they would like to search or filter by tags. It might improve UX when applying tags, but might...
Roughly knowing how many times each tag has been used would provide users actionable information if they would like to search or filter by tags.
It might improve UX when applying tags, but might have undesirable side effects in user behavior.
I can think of three places this might be implemented, and I don't know which, if any, we want:
When filtering topics by tags:
- informs users how large or small their scope is
- this view should probably be kept somewhat up to date
When looking at a topic's tags:
- informs users where to start searching/filtering
- passively builds a frame of reference for how tags are used?
- this view could be allowed to become outdated and stale without issue
When applying tags
- a more common tag might be less accurate, but it might be more helpful?
- in the auto fill issue weight by frequency was proposed, which is somewhat similar but more opaque
- this should probably use pretty recent counts as well
17 votes -
Major League Baseball is making a handful of radical rule changes designed to make games faster and more action-packed
11 votes -
Suggestion: Collect statistic about the amount of comments and posts a user made.
I just thought that it might be useful for a person to see how many posts and comments they have made on ~. As that data is already available for manual collection it might be nice to have it...
I just thought that it might be useful for a person to see how many posts and comments they have made on ~. As that data is already available for manual collection it might be nice to have it available more easily on that profile.
9 votes -
If correlation doesn’t imply causation, then what does?
11 votes -
Sharp increase in Moscow pneumonia cases fuels fears over coronavirus statistics
10 votes -
Would Donald Trump be president if all Americans actually voted?
17 votes -
Fake grass, real injuries? Dissecting the NFL’s artificial turf debate.
14 votes -
An interactive web-based dashboard to track COVID-19 in real time
8 votes -
In about twenty years, half the population will live in eight US states
14 votes -
Should user statistics be publicly viewable?
Should the site show how many registered users there are, how many unique visitors there are, and how many people are subscribed to the different branches?
10 votes -
How a Kalman filter works, in pictures
17 votes -
What the data says about food stamps in the US
10 votes -
The Browns’ Suckiness Defies Math And Reason
11 votes -
The US maternal mortality crisis is a statistical illusion
22 votes -
What a striking new study of death in America misses
15 votes -
Poverty, not the poor - a systematic analysis of the relatively high stable rate of US poverty using multinational data
21 votes -
On the hunt for ginormous effect sizes
5 votes -
‘Big’ data can be 99.98% smaller than it appears
11 votes -
The next great disruption is hybrid work—thoughts from Microsoft on the future of work
9 votes -
How lucky is too lucky? The Minecraft speedrunning controversy explained
5 votes -
Harvard’s Chetty finds economic carnage for the poorest in the wealthiest ZIP codes
8 votes -
It’s time to talk about ditching statistical significance
19 votes -
Pornhub Insights - 2018 Year in Review (graphs and NSFW text; no explicit images)
22 votes -
We're measuring the economy all wrong
12 votes -
Homicides are plummeting in most American cities
20 votes -
Live UK National Grid statistics
13 votes -
A journey into the shaken baby syndrome/abusive head trauma controversy
14 votes -
The billion-dollar business of ABBA: A statistical analysis
13 votes -
Did Sweden's controversial COVID strategy pay off? In many ways it did – but it let the elderly down
10 votes -
AI competitions don’t produce useful models
5 votes -
Josh Hader’s fastball is baseball’s most mysterious pitch
12 votes