Entries Tagged "cheating"
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Interesting story about someone who is almost certainly cheating at professional poker.
But then I start to see things that seem so obvious, but I wonder whether they aren’t just paranoia after hours and hours of digging into the mystery. Like the fact that he starts wearing a hat that has a strange bulge around the brim — one that vanishes after the game when he’s doing an interview in the booth. Is it a bone-conducting headset, as some online have suggested, sending him messages directly to his inner ear by vibrating on his skull? Of course it is! How could it be anything else? It’s so obvious! Or the fact that he keeps his keys in the same place on the table all the time. Could they contain a secret camera that reads electronic sensors on the cards? I can’t see any other possibility! It is all starting to make sense.
In the end, though, none of this additional evidence is even necessary. The gaggle of online Jim Garrisons have simply picked up more momentum than is required and they can’t stop themselves. The fact is, the mystery was solved a long time ago. It’s just like De Niro’s Ace Rothstein says in Casino when the yokel slot attendant gets hit for three jackpots in a row and tells his boss there was no way for him to know he was being scammed. “Yes there is,” Ace replies. “An infallible way. They won.” According to one poster on TwoPlusTwo, in 69 sessions on Stones Live, Postle has won in 62 of them, for a profit of over $250,000 in 277 hours of play. Given that he plays such a large number of hands, and plays such an erratic and, by his own admission, high-variance style, one would expect to see more, well, variance. His results just aren’t possible even for the best players in the world, which, if he isn’t cheating, he definitely is among. Add to this the fact that it has been alleged that Postle doesn’t play in other nonstreamed live games at Stones, or anywhere else in the Sacramento area, and hasn’t been known to play in any sizable no-limit games anywhere in a long time, and that he always picks up his chips and leaves as soon as the livestream ends. I don’t really need any more evidence than that. If you know poker players, you know that this is the most damning evidence against him. Poker players like to play poker. If any of the poker players I know had the win rate that Mike Postle has, you’d have to pry them up from the table with a crowbar. The guy is making nearly a thousand dollars an hour! He should be wearing adult diapers so he doesn’t have to take a bathroom break and cost himself $250.
This isn’t the first time someone has been accused of cheating because they are simply playing significantly better than computer simulations predict that even the best player would play.
The Independent Commission on Examination Malpractice in the UK has recommended that all watches be banned from exam rooms, basically because it’s becoming very difficult to tell regular watches from smart watches.
I’ve previously written about people cheating in marathon racing by driving — or otherwise getting near the end of the race by faster means than running. In China, two people were convicted of cheating in a pigeon race:
The essence of the plan involved training the pigeons to believe they had two homes. The birds had been secretly raised not just in Shanghai but also in Shangqiu.
When the race was held in the spring of last year, the Shanghai Pigeon Association took all the entrants from Shanghai to Shangqiu and released them. Most of the pigeons started flying back to Shanghai.
But the four specially raised pigeons flew instead to their second home in Shangqiu. According to the court, the two men caught the birds there and then carried them on a bullet train back to Shanghai, concealed in milk cartons. (China prohibits live animals on bullet trains.)
When the men arrived in Shanghai, they released the pigeons, which quickly fluttered to their Shanghai loft, seemingly winning the race.
I play Pokémon Go. (There, I’ve admitted it.) One of the interesting aspects of the game I’ve been watching is how the game’s publisher, Niantic, deals with cheaters.
There are three basic types of cheating in Pokémon Go. The first is botting, where a computer plays the game instead of a person. The second is spoofing, which is faking GPS to convince the game that you’re somewhere you’re not. These two cheats are often used together — and you see the results in the many high-level accounts for sale on the Internet. The third type of cheating is the use of third-party apps like trackers to get extra information about the game.
None of this would matter if everyone played independently. The only reason any player cares about whether other players are cheating is that there is a group aspect of the game: gym battling. Everyone’s enjoyment of that part of the game is affected by cheaters who can pretend to be where they’re not, especially if they have lots of powerful Pokémon that they collected effortlessly.
Niantic has been trying to deal with this problem since the game debuted, mostly by banning accounts when it detects cheating. Its initial strategy was basic — algorithmically detecting impossibly fast travel between physical locations or super-human amounts of playing, and then banning those accounts — with limited success. The limiting factor in all of this is false positives. While Niantic wants to stop cheating, it doesn’t want to block or limit any legitimate players. This makes it a very difficult problem, and contributes to the balance in the attacker/defender arms race.
Recently, Niantic implemented two new anti-cheating measures. The first is machine learning to detect cheaters. About this, we know little. The second is to limit the functionality of cheating accounts rather than ban them outright, making it harder for cheaters to know when they’ve been discovered.
“This is may very well be the beginning of Niantic’s machine learning approach to active bot countering,” user Dronpes writes on The Silph Road subreddit. “If the parameters for a shadowban are constantly adjusted server-side, as they can now easily be, then Niantic’s machine learning engineers can train their detection (classification) algorithms in ever-improving, ever more aggressive ways, and botters will constantly be forced to re-evaluate what factors may be triggering the detection.”
One of the expected future features in the game is trading. Creating a market for rare or powerful Pokémon would add a huge additional financial incentive to cheat. Unless Niantic can effectively prevent botting and spoofing, it’s unlikely to implement that feature.
Cheating detection in virtual reality games is going to be a constant problem as these games become more popular, especially if there are ways to monetize the results of cheating. This means that cheater detection will continue to be a critical component of these games’ success. Anything Niantic learns in Pokémon Go will be useful in whatever games come next.
Mystic, level 39 — if you must know.
And, yes, I know the game tracks works by tracking your location. I’m all right with that. As I repeatedly say, Internet privacy is all about trade-offs.
The Boston Red Sox admitted to eavesdropping on the communications channel between catcher and pitcher.
Stealing signs is believed to be particularly effective when there is a runner on second base who can both watch what hand signals the catcher is using to communicate with the pitcher and can easily relay to the batter any clues about what type of pitch may be coming. Such tactics are allowed as long as teams do not use any methods beyond their eyes. Binoculars and electronic devices are both prohibited.
In recent years, as cameras have proliferated in major league ballparks, teams have begun using the abundance of video to help them discern opponents’ signs, including the catcher’s signals to the pitcher. Some clubs have had clubhouse attendants quickly relay information to the dugout from the personnel monitoring video feeds.
But such information has to be rushed to the dugout on foot so it can be relayed to players on the field — a runner on second, the batter at the plate — while the information is still relevant. The Red Sox admitted to league investigators that they were able to significantly shorten this communications chain by using electronics. In what mimicked the rhythm of a double play, the information would rapidly go from video personnel to a trainer to the players.
This is ridiculous. The rules about what sorts of sign stealing are allowed and what sorts are not are arbitrary and unenforceable. My guess is that the only reason there aren’t more complaints is because everyone does it.
The Red Sox responded in kind on Tuesday, filing a complaint against the Yankees claiming that the team uses a camera from its YES television network exclusively to steal signs during games, an assertion the Yankees denied.
Boston’s mistake here was using a very conspicuous Apple Watch as a communications device. They need to learn to be more subtle, like everyone else.
Eddie Tipton, a programmer for the Multi-State Lottery Association, secretly installed software that allowed him to predict jackpots.
What’s surprising to me is how many lotteries don’t use real random number generators. What happened to picking golf balls out of wind-blown steel cages on television?
Wired is reporting on a new slot machine hack. A Russian group has reverse-engineered a particular brand of slot machine — from Austrian company Novomatic — and can simulate and predict the pseudo-random number generator.
The cell phones from Pechanga, combined with intelligence from investigations in Missouri and Europe, revealed key details. According to Willy Allison, a Las Vegas-based casino security consultant who has been tracking the Russian scam for years, the operatives use their phones to record about two dozen spins on a game they aim to cheat. They upload that footage to a technical staff in St. Petersburg, who analyze the video and calculate the machine’s pattern based on what they know about the model’s pseudorandom number generator. Finally, the St. Petersburg team transmits a list of timing markers to a custom app on the operative’s phone; those markers cause the handset to vibrate roughly 0.25 seconds before the operative should press the spin button.
“The normal reaction time for a human is about a quarter of a second, which is why they do that,” says Allison, who is also the founder of the annual World Game Protection Conference. The timed spins are not always successful, but they result in far more payouts than a machine normally awards: Individual scammers typically win more than $10,000 per day. (Allison notes that those operatives try to keep their winnings on each machine to less than $1,000, to avoid arousing suspicion.) A four-person team working multiple casinos can earn upwards of $250,000 in a single week.
The easy solution is to use a random-number generator that accepts local entropy, like Fortuna. But there’s probably no way to easily reprogram those old machines.
Roughly three weeks later, there is a operation program available to crack ACBL hand records.
- Given three consecutive boards, all the remaining boards for that session can be determined.
- The program can be easily parallelized. This analysis can be finished while sessions are still running
this would permit the following type of attack:
- A confederate watch boards 1-3 of the USBF team trials on vugraph
- The confederate uses Amazon web services to crack all the rest of the boards for that session
- The confederate texts the hands to a players smart phone
- The player hits the head, whips out his smart phone, and …
Sidebar photo of Bruce Schneier by Joe MacInnis.