357 karma · joined May 11, 2020
Also, has anyone tried the FXtec phones? https://www.fxtec.com I am thinking about getting the FXtec pro1 version, which promises to get a decent UbuntuTouch support as well as lineageOS.
I feel that with the comeback of Vim, there might be a sufficient user base for devices that use the keyboard for most tasks. I miss the days, when I could send a text message without taking the phone out of my pocket.
Edit: Just found a relevant HN discussion: https://news.ycombinator.com/item?id=26659150
By the time they reach high school:
- Every kid should know how to play blackjack and poker.
- Every kid must know how to compute the odds of winning.
- Every kid should know how to verify the odds presented to them.
- Every kid should know at least three ways of cheating and being cheated
This might make the earth population a bit more resistant to panic and overreaction in times of uncertainty. Hopefully, fewer people will drink chlorine, stockpile toilet paper, participate in ponzi schemes, go to a real war against a fictitious enemy.
1) The Information by Gleick is a book covering everything from biographies of the key historical figures and contributors to contemporary applications of information theory in quantum mechanics.
2) Elements of Information Theory by Joy Thomas and Thomas Cover is a thorough and engaging textbook.
3) Quantum information and quantum computation by Nielsen and Chuang explaining both classical and quantum information with some practical examples.
4) Entropy and Information by Volkenstein a Soviet popular science book with math-heavy examples from biology, chemistry and physics
and as an aside I can also recommend "Willful Ignorance: The Mismeasure of Uncertainty" by Weisberg, which is an engaging history review of probability theory and its key inventors
But Democracy does solve a number of issues capitalism has. Free-markets allocate tangible and (pardon the cliché term) fungible goods quite well.
Non-tangible (e.g. intellectual property) and non-fungible (e.g. environment) goods are not managed well in a purely capitalist system. Some sort of a majority vote and public goods solution work much better and in fact create the necessary infrastructure (safe streets, reliable electricity, clean water) for capitalism to function.
So Capitalism ≠> Democracy, but Democracy => Capitalism is more true than not.
I've been sitting on for a while and given my lack of engineering experience will probably never work on.
Problem:
Unnecessary/excessive noise from outdated/not properly maintained or purposefully broken devices (e.g. combustion engine powered leaf blowers, excessive and outdated reverse gear warning sounds on large vehicles, hollow motorbike ~mufflers~, garbage bins with metal wheels/lids)
Solution:
Create noise pollution maps, showing the areas with most frequent/most excessive noise pollution.
Noise data will exercise economical and political pressure putting an actual market price on the noise levels and requiring the governments to enforce noise limits on vehicles and other registered devices.
Approach 1:
Mobile apps capturing and mapping noise levels in a privacy friendly way, while providing useful diagnostics and recommendations for the users.
Approach 2:
Low power GPS-enabled devices distributed across the city contributing real-time noise data to a central database system for evaluation.
Users: Great! Let's start using it everywhere!
Users: Hey! Our spreadsheets have become very slow and hackers break into our systems by executing arbitrary code in our spreadsheets
Microsoft: OK! From now on you will have to save workbooks that can execute arbitrary code in a dedicated file format, which will only open after showing 15 warning messages.
....
Microsoft: _Hey, we have this new feature. It's called Lambda. You can execute any code you like and use it as functions in your spreadsheets._
Also, isn't Kolmogorov complexity uncomputable and you run into multiple "who shaves the barber" issues, when trying to determine it?
Now try and find a reference population of people with "skill and desire to train breathing techniques to improve their health". Administer half of those people a "placebo" technique, where both the trainer and the subject are convinced they are working on the "correct breathing technique". Measure the improved health condition. Deliver "statistically significant results" showing how the placebo group improved less than the actual test group.
import numpy as np
def play_monty_hall(rounds=100):
car = np.random.randint(low=1,high=4,size=rounds)
first_door = np.random.randint(low=1,high=4,size=rounds)
switching_wins = car != first_door
staying_wins = np.logical_not(switching_wins)
print(sum(switching_wins))
print(sum(staying_wins))Which indicates it is roughly as hard as partial differential equations, the theory of relativity and just a tiny bit easier than some of the quantum mechanics.
This is pretty unintuitive for a subject, which mostly relies on multiplication and addition.
The dozen or so posts discussing the intuition of the Monty Hall Problem are a case in point.
> They are an appetizer, not the main dish.
This is certainly true.
You are wrong about people being good at finding correlations. I rarely met people who can process a sufficiently large sample size in their memory to calculate any significant correlation results. Whereas guessing correlations from charts exposes you to a number of optical illusions, which will fool the brain into seeing things that don't exist.
There may be a propensity to make more type 2 errors and see correlations between any random things such as 5G and COVID, but I haven't seen any research on that.
Convincing as many people as possible that statistical intuition is not something we are born with should be the key priority of any probability and statistics class.
Monte Hall was one example. The birthday problem and the base rate fallacy are two more [1][2]. The result seems obvious but most people get these wrong.
With a couple of papers or books by Kahneman and Tversky in hand we can generate an almost infinite list of simple statistics/probability questions, which most people get wrong. Let people make some mistakes, before dumping the theory on them.
[1]https://en.wikipedia.org/wiki/Base_rate_fallacy [2]https://en.wikipedia.org/wiki/Birthday_problem
With calculus and linear algebra your gut feel is about right no average. You can quickly get a feel for trajectories, acceleration and distances (derivatives and integrals), areas, volumes, amounts, etc. But on probability your gut-feel will always fool you.
In the end, you see a handful of math bloggers bemoaning the lack of education in probability and the nonsense being discussed by journalists and politicians. And it hardly matters whether it's an election or a pandemic. The lack of understanding of uncertainty and the false belief that one can reason about these without looking at the numbers too closely is dangerous.
Sorry about the rant. But...
Dear creator of seeing-theory.brown.edu, if there is one thing you could change about the project to make it different and infinitely more useful: Please start the first chapter with the goat problem[1], then go through a couple of examples from chapter 10 in Thinking Fast and Slow[2], the discuss information (maybe with a simplified version of Mendel's pea experiment[3]), discuss distributions and leave expectations and variances for much-much later.
[1]: https://en.wikipedia.org/wiki/Monty_Hall_problem [2]: https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow [3]: https://www.sciencelearn.org.nz/resources/1999-mendel-s-expe...
public class Main {
public static void main(String[] args) {
System.out.println("This will be printed");
}
}
>java Main
Also, there is no way you could get things done, without spending a year studying what each of
Class, static, void, System, args, etc
meant.
It's hardly surprising there will be a number of people. who realise that that's neither the only nor the most efficient hammer to drive in all types of nails.