With two Boeing whistleblowers dead in one month, either Boeing is actively killing them, or there are enough whistleblowers that this rate of death is not statistically significant
With two Boeing whistleblowers dead in one month, either Boeing is actively killing them, or there are enough whistleblowers that this rate of death is not statistically significant
...and I don't know which possibility is the least worrying
Don't be fooled by randomness. Randomness comes in clumps. For example if you flipped a thousand coins every day for a year and measured how each one predicted the stock market, heads for up, tails for down, at the end of the year you'll likely have one coin that far out performs the average. But would you use that coin to determine your investment strategy the next year?
And yeah Boeing is now killing people outside of their planes.
That's a great line!
Finally I have a reliable way of finding my magic stockmarket coin. Thank you kind stranger!
I stole your coin.
Could this be akin to the Birthday paradox?
Not really. That is just a fact that there's only 365 days, and the more samples you make increases the odds it's a sample that overlaps with another (there are fewer unique options).
What the OP is saying is that sometimes randomness can appear less random than other randomness. True randomness will occasionally give results that closely match something non-random. It's why almost all music players don't use true random for shuffle. True random you could have the same song play 15 times in a row. In fact, that is expected to happen eventually (assuming infinite time) just as all other sets of 15 songs are.
The birthday paradox derives from how the chance of somebody there having their birthday on a specific day is 1-in-365 (ish)/nr-of-people hence the chance of two people having their birthday on that specific day is 1-in-365^2/nr-of-people, but the chance of two people having their birthday in the same day out of any days of the year is quite different because it's not a specific day anymore so it's quite a different calculation (which I totally forgot ;)).
In here the closest to that paradox would the chance of 2 whistleblowers of any company with whistleblowers dying within a few weeks of each other (which, depending on how many companies have whistleblowers, can be quite high) compared to the chance of 2 whistleblowers of Boeing dying within a few weeks of each other (which is statistically a lot lower unless there are thousands of Boeing whistleblowers).Edit: actually it's more the chance of any 2 Boeing whistleblowers dying with a few weeks of each other at any point in time (so this includes long after they did it) vs the chance of any 2 Boeing whistleblowers dying with a few weeks of each other during the time they are blowing the whilstle.
That was a great read! Not something I've heard of before. Thank you!
And yeah it's related for sure.
Idk if we have any NYJ fans in here, but 2 years ago the coin meme was born. One fan flipped the same quarter every game to predict a win or a loss. It was correct for like the first 7 or so games of the season. It was a pretty wild ride predicting some unpredictable upsets for the jets for both wins and loses.
But given the choice between coins you'd still most likely pick the one that was successful, even if its 99% chance its nonsense - the other coins would have 99.9% (made up numbers).
So out of our analogy, we can't be sure beyond resonable doubt to arrest Boeing, but a message has clearly been sent to any future whistleblowers
It takes a ton of bravery to be a whistle blower when others aren't dying like 80 year old diabetes patients. It'll take even more now, and I hope there are more. Boeing needs to be kicked in the bags.
Boeing makes planes not people.
Crunching the numbers in your example, there's a 92% chance no coin does better than 55% correct. Randomness happens, but the law of large numbers usually refers to much larger numbers than 1000, and there aren't 1000 huge companies being investigated right now. I think suspicion is warranted here
You're saying my intentionally over simplified example to get a point across wasn't perfect? Amazing analysis....
Do you go by the nickname Captain Obvious with your friends?
Great example
Thank you, I can't take credit for it. I got it out of the book Everybody Lies.