Math Says Conspiracies Are Prone To Unravel (bbc.com)
An anonymous reader writes: Who doesn't love a good conspiracy theory? Well, I don't — they're usually annoying daydreams from annoying people. Fortunately, an Oxford mathematician seems to feel the same way. Dr. David Grimes just published research in PLOS One establishing a formula for determining the likelihood of a failed conspiracy — in other words, how likely some of its participants are to spill the beans. There are three main factors: number of conspirators, the amount of time passed since it started, and how often we can expect conspiracies to intrinsically fail (a value he derived by studying actual conspiracies that were exposed). From the article: "He then applied his equation to four famous conspiracy theories: The belief that the Moon landing was faked, the belief that climate change is a fraud, the belief that vaccines cause autism, and the belief that pharmaceutical companies have suppressed a cure for cancer. Dr. Grimes's analysis suggests that if these four conspiracies were real, most are very likely to have been revealed as such by now. Specifically, the Moon landing 'hoax' would have been revealed in 3.7 years, the climate change 'fraud' in 3.7 to 26.8 years, the vaccine-autism 'conspiracy' in 3.2 to 34.8 years, and the cancer 'conspiracy' in 3.2 years."
Its a fake conspiracy theory when my nephew believes it. 100% accuracy within 5 seconds.
"Transparent" is a shit show that trades on every stereotype going. A man in drag is NOT a transsexual.
That's right, a big fat zero. You know who keeps a secret? Of course not, that person has never told you anything.
A conspiracy's success is diminished inversely proportionate to the number of its' participants and the time of execution.
Happiness in intelligent people is the rarest thing I know.
Ernest Hemingway
Of course, that's what THEY want you to believe!
You guys ain't foolin' anyone, I know the truth!
So rise up, all ye lost ones, as one, we'll claw the clouds.
The crucial value he is using how often do conspiracies fail, but then uses failed ones to measure the length of time. Isn't that kinda like asking how long until your car explodes, and only looking at cars that explode as your data. On top of that, looks like he is using only a same size of 3 to determine this metric making it even more questionable. While I applaud the effort, this doesn't seem to convincing.
Three people can keep a secret if two of them are dead.
To put a witty saying into 120 characters, jst rmv ll th vwls.
The moon landing and cancer-cure suppression would be actual conspiracies, but climate change and vaccine-caused autism are less thought to be malicious conspiracies and more incorrect group-think*. There is no spilling the beans to be done.
* Yes there are those who claim genuine conspiracies, but by far the vast majority of people who, say, believe climate change is not man-made nor catastrophic think it is incorrect science.
Seems like severe selection bias - not one of the examples has yet to reveal a conspiracy.
How well does the theory predict conspiracies that have already been revealed?
For example, the Manhattan project involved hundreds of people, yet remained secret for years, is that what this theory suggests would have happened?
One problem with this analysis is that it doesn't take into account *successful* conspiracies.
Suppose there are conspiracies which succeeded completely - in that the public was defrauded, suspected nothing, and life went on as normal.
If we are using past performance to predict future trends, shouldn't those conspiracies be counted? There's no realistic way to account for or even detect them.
Take for example the 1968 presidential campaign of Richard Nixon.
During that campaign, [incumbent president] Johnson was negotiating with Vietnam to bring an end to the Vietnam war.
Nixon though that this action would ruin his chances of being elected, so he contacted the Vietnamese government and said that if they obstructed talks, they'd get a better deal when he was elected.
(An example of an American interfering with the political process, prolonging a war for 7 more years, with enforced conscription, and causing the unnecessary deaths of tens of thousands of Americans.)
This action was known to Nixon's campaign manager (Mitchell) and several aides. Johnson knew about it (a tape in the Johnson presidential library has Johnson denouncing Nixon for “treason”)
Neither side wanted to push the issue, so it was dropped.
This was a conspiracy, involved several dozen people (including FBI agents), and was monstrously important at the time. It took 50 years for the documents to be released describing the situation. Johnson's tape was released in 2008, and some other files are still hidden.
I don't have a lot of faith in this paper - it doesn't take into account conspiracies that actually succeed.
No one creates a cure for cancer on their own. Lots of people have to be involved, there would be years of lab work, the data has to be gathered from studies to prove effectiveness, and so forth. The CEO could try to keep it hush hush but there would be too many people around who would have to know there was such cure either present or at the stage of trials. The CEO could demand that all records be retrieved and hidden, but the people doing the retrieving and hiding are now in the know also. You can hide studies but you can't make people forget that they worked on those studies.
The model used in this math does actually assume that all conspirators are intent on keeping the secret in the first place, rather than there being some internal good guy who wants to blow the whistle. Whereas in this case most of those conspirators would have an interest in getting that secret out. Sure you can pay them off, but even that is hard to keep secret because now you've got stockholders wondering where all that money went and such payments do not provide guarantees of silence.
The math was based on conspiracies that were proven to be true. The PRISM program at the NSA revealed by Snowden, the Tuskeegee syphillis experiments, and the FBI hiding the fact that it's forensic analysis was faulty.
But this sounds like you didn't read the article or the paper. He didn't say he had proven anything. It was a mathematical model based on things we do know. I know slashdot doesn't like to read the articles, but for this particular story there seems to be an abundance of commenters proclaiming that they don't believe any of it without even knowing what "it" is because they haven't read it.
He did not do any analysis on the likelihood that an unknown conspiracy would have been revealed, because... um, it's an unknown conspiracy. He did give numbers on 4 known conspiracy theories though and the numbers seem plausible. He gives no guesses whatsoever about the number of total conspiracies undiscovered or otherwise.
What ticks me off more than crazy theories are instances of skeptics invoking many of the same kinds of errors in judgments into debunking conspiracies as was originally required to invent them in the first place.
All I ask if you feel the need to waste your time debunking a conspiracy theory at least do so with evidence and sound reasoning.
In this case making judgments based on statistical inferences of who would "spill the beans" is pretty lame. First off this kind of analysis does nothing to directly address the underlying assertions made by conspiracy theorist. Who is likely to "talk" is a variable based on conspiracy specific human factors I very much doubt can be captured in a formula. Most importantly believers are not going to be swayed by models from "establishment" mathematicians they neither understand or are likely to be willing to take the time to understand.
If someone makes a non-falsifiable claim going further than demonstrating the claim cannot be falsified is unnecessary and counterproductive. In my view the best way to rescue people from conspiracies is to trick them into discovering for themselves the errors in their positions.
How about UFO's? The CIA spread disinformation about UFO's in the 1950's and 1960's to hide their experimental aircraft program. Another example of a conspiracy that took hold with the general public and survived to this day.
It's not amount of time since the event occurred, or the number of people involved, it's the cover story that makes the conspiracy succeed or fail.
http://www.nytimes.com/1997/08...
http://www.smithsonianmag.com/...