So "we detect cancer better" isn't really a good theory, unless it just so happens we only have improved our detection for 8 of those cancers.
Would love for somebody more knowledgeable who read the whole paper to weigh-in.
12,479 karma · joined April 18, 2014
So "we detect cancer better" isn't really a good theory, unless it just so happens we only have improved our detection for 8 of those cancers.
Would love for somebody more knowledgeable who read the whole paper to weigh-in.
Part of the reason San Francisco is so desirable is because it's iconic, it would be a great irony to make room for more people by removing what makes it special.
It always felt to me like if we want more San Francisco then we should build more beautiful cities, there's a lot of amazing coast in California.
I'll grant that some are for sure. But it doesn't mean other parents can't quietly and effectively notice their children's responses to various foods.
Frankly any sort of research on behaviors imo should eventually move to scoring by completely objective measures (e.g. computer assessment of whether they can watch a screen for 30 seconds and how often they look away, or whether they can read a paragraph)
Here's a study highlighting the psychological effects of sugar
https://www.cambridge.org/core/journals/british-journal-of-n...
What you would do is you would have a higher standard of proof. If you conduct a study with a 95% confidence interval that sugar doesn't increase excitement more than 5% then, you can say with 95% confidence the mean falls above that 5% threshold.
However in this study, that confidence intervals were all over the place (from huge effect on mood to negative effect on mood) which generally means you need more participants to conclude anything.
There's a reason why academics no longer use sugar-pills as placebo, because sugar has immediate psychological effects.
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Edit: Just read it, the blog author doesn't understand statistics.
"—Sixteen reports met the inclusion criteria for a total of 23 within-subject design studies. The weighted mean effect size and related statistics for each of the 14 measurement constructs revealed that although the range for these means was from -0.14 for direct observations and up to +0.30 for academic tests, the 95% confidence interval for all 14 mean effect sizes included 0."
So there's a world of difference between "The studies didn't prove X" and "The studies proved X is not true."
To illustrate - I could do a study right now on myself about whether getting hit on the head reduces IQ, and odds are, I wouldn't have enough data to prove anything. Doesn't mean I proved the opposite.
Also, if the article wasn't paywalled I'd be curious how many grams of sugar were given etc, but probably not even worth my time. I also think that a placebo of artificial sweetener is dubious unless we are sure those can't cause behavior changes too.
Step 0 - Ask "Would you like my advice?" Anything other than a sincere yes (not a maybe, not a patient okay, not a hmm) then don't give advice.
A lot of people think they are offering "free information" on the internet, but what they are really doing is offering a transaction: "I'll tell you what I think but in a manner where I present myself as higher status than you." [There are the exceptions, particularly here on HN, where somebody is infinitely humble and patient of course, especially on certain topics]
You'll meet a lot of people outside the internet who are interested in doing this too "Let me overexplain X to you" (e.g. Mansplaining). Which conveys again two things -- "free" information, but actually on the condition of presenting oneself as "the teacher."
I think on the internet, where there are 0 barriers to entry, ANYBODY can post an offer, no matter who bad it is (let me peddle a stereotype as brilliance and see who bites).
Someday soon, if we want, we can have a version of HN where every single comment is rewritten by GPT4 to be friendly/positive/deferential but equally informative.
... (lots of calculations)
Final Comparison
Variance of 20d6: 58.33458.334
Variance of 1d20+1d12+53: 45.166745.1667
The variance of 1d20+1d12+53 is closer to 58.334 than previous combinations and represents a reasonable approximation for both mean and variance.[Edit: Just checked it in google sheets, this looks right to me]
Or is it just like 1% of people have cancer?
Would love to see a good-faith analysis by somebody who has 50 hours to commit to it, a good grasp of statistics, and no interest in politics.
- What diameter steel wire would I need to be rated for a weight of 500lbs?
- How many digits would a ID need to be (using 36 characters) to have a 1/10^20 chance of collision over 1 billion random IDs?
- If I have a list of a million times (say durations of a web request) and they follow a normal distribution, and I take a sample of 1 million of those, how close would the average of my .1% sample be to the true average of the billion?
- Suppose in D&D I am told to roll 20 d6, but instead of rolling that many dice I want to roll just two (larger) dice and add a constant. Which standard D&D dice might give the closest variance and what is the constant?
Give the jawbreaker to Blondebeard to loosen his gold tooth, then give him the pack of gum. When he blows the bubble with the tooth in it, pop it with the pin and the tooth will drop out. Get the gold tooth, then exit the shop. (To get the gold tooth on Mega-monkey, chew the pack of gum to get the chewed gum. Inhale from the helium balloon, use the gold tooth in the chewed gum and then chew the tooth in gum. It will float out the window of the shop and land in the mudpuddle outside. Use the pie pan in the mudpuddle to get the tooth).
The situation in America is an absolute nightmare with data being sold through all sorts of mechanisms with zero oversight (your ISP, your car, most apps on your phone, whoever does your credit scores) -- I'm sure there's some way to make successful tech that isn't the hellscape America has.
In my opinion the goal is to get a record of the information and the dataset out there.
I used to believe that whenever coworkers ask how to stay in touch after I leave a job it was just a lie we all tell ourselves to make the transition easier. But I'm finding that many of my coworkers say they do stay in touch with old colleagues.
Perhaps part of the lesson is that some of us who don't reciprocate with you do care, but have no mental model (or lack the social grace) to navigate a more tricky relationship (e.g. what if work is now much better now that this person left, and what if the people and things you had in common no longer apply).
If you can't take days to do it then do a gradual rollout in hours. It's not a high bar.
Maybe if you're planning for 3+ months off the grid it becomes a bad idea, but I don't think there are many scenarios where we're off the grid for 3+ months and then society comes back in any meaningful way (e.g. more than 1% of population alive, electricity again).
Like olive oil is safe to eat for years, costs $5 / meal if it's all you eat and you get the fancy kind, and if the world doesn't end you can just use it and buy another backup bottle.
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Onto the article, if I ran a production software system, I'd be collecting data on the health of all my servers.
If I ran a country, I'd collect health data on all my towns (perhaps blood tests of 1% of the population each year).
Of course in malfunctioning environments, measurement is scary to leaders because it can give evidence that they aren't doing their job.
Do you actually want to understand the answer to this question?
Fossil fuels provide a great benefit to one party but produce negative externalities to other parties (people in hurricane zones, people born into hot regions, people who live in the future). If it's worth it economically because the value is so great, then an optimal economic solution is to say "You can have this thing, but you are accountable for the damages it causes to other parties"
Once we start pricing in the costs of the side-effects of fossil-fuels, the tradeoffs will be more clear, and the market will create faster incentives toward the ideal tradeoff.