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Nevada Casinos Coronavirus Restrictions Eased
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 February 15, 2021 If at first you don’t succeed, try again in a few months! That seems to be where we are with Nevada casinos coronavirus precautions, as the Governor has started to ease some of the casino restrictions in place for a second time. As of today, the occupancy maximum for casinos in the state will grow from 25% to 35%. This will also apply to restaurants and bars. However, not all “Sin City” attractions are being treated equally. Adult entertainment venues, such as nightclubs and brothels, will remain not be allowed to open until May 1st at the earliest as they are considered high-risk businesses. Governor Sisolak has been in a delicate situation for a while now, balancing the state’s tourist driven economy with public safety. “As we ease restrictions, we must follow the science and studies, which states clearly and repeatedly that closures to certain settings are more impactful in reducing disease transmission,” he said. The state has documented over 285,000 cases of COVID-19 with more than 4,600 deaths. You can read more about the current Nevada casinos coronavirus situation at Yogo Net.     Related Tagged Coronavirus, COVID, Nevada casinos, Nevada casinos coronavirus, Sisolak
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When Relationships Fall Victim to Problem Gambling
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Many celebrate love, romance, and relationships during February and on Valentine’s Day. While no relationship is perfect, some endure significant hardship due to the presence of addiction, and gambling addiction is no exception. Did you know that relationship problems have been the top reported reason for seeking help by contacts to the 888-ADMIT-IT HelpLine for more than a decade? Contrary to social stigmas, individuals who struggle with problem gambling are not able to simply stop. Gambling addiction rewires the brain much in the same way as substance abuse, yet the symptoms are unseen, leaving loved ones unaware until the gambler hits “rock bottom.” Feelings like shame, guilt, and stress also flood these individuals and leave them hiding the consequences of problem gambling, exacerbating relationship difficulties and preventing them from seeking needed supports. Family members and other loved ones often do not know the extent of the gambler’s behaviors or debt. Over the past year, 76% of 888-ADMIT-IT HelpLine contacts reported the presence of family conflict, and 52% indicated family neglect as a result of problem gambling, with some also experiencing domestic violence and abuse [1]. It is imperative to understand that for every case of problem gambling, an average of 8-10 additional people are affected — often those closest to the gambler.  Research published in the Asian Journal of Gambling Issues and Public Health found that the negative effects of their partner’s gambling problems centered on four key areas — financial loss, emotional distress, impairment of mental and physical health, and erosion of their relationship [2]. Complicating matters further, the COVID-19 pandemic is causing heightened levels of emotional distress and mental health impacts across the population, leaving those suffering from this hidden addiction even more vulnerable. HelpLine data shows that a large percentage of problem gamblers are experiencing significant anxiety (68%) and depression (67%), with more than one in five admitting to suicidal thoughts (22%) and an appreciable number (13%) reporting neurological disorders. These mental health issues understandably extend to family members and loved ones.  The good news is that help and hope can be found through the 24/7, Confidential, and Multilingual 888-ADMIT-IT HelpLine for anyone in need, including loved ones. The HelpLine can also be reached by texting 321-978-0555, starting a live chat at gamblinghelp.org, emailing fccg@gamblinghelp.org, and messaging the FCCG on social media. Get connected to the resources that make a difference, including referrals to certified treatment providers! March is Problem Gambling Awareness Month March is Problem Gambling Awareness Month (PGAM), a grassroots effort to raise awareness about gambling disorder, classified by the American Psychiatric Association as a behavioral addiction, that impacts millions of Floridians who struggle directly with gambling related difficulties or are adversely affected by a loved one’s gambling problem. This year, our campaign theme is Shine the Light on Problem Gambling: Changing the Game. During this past year, the world has been forced to grapple with crippling impacts caused by the COVID-19 Pandemic. Many Florida residents, like many Americans, are struggling given the unforeseen consequences resulting from the pandemic. For disordered gamblers and their families, the effects of the virus can exacerbate already serious financial, psychological, legal, and other problems caused by gambling. Click here to learn more about PGAM and join the movement in raising awareness about the issue of problem gambling and the help and hope available through the 24/7, Confidential, and Multilingual Problem Gambling HelpLine! [1]  24-Hour Problem Gambling HelpLine Annual Report., 2020 ed., The Florida Council on Compulsive Gambling, Inc., 2020, 24-Hour Problem Gambling HelpLine Annual Report. [2] Abbott, M., DA. Abbott, S., Boyatzis, R., V. Braun, V., EM. Chan, A., Charmaz, K., . . . Volberg, R. (1970, January 01). Impacts of gambling problems on partners: Partners’ interpretations. Retrieved February 11, 2021, from https://link.springer.com/article/10.1186/2195-3007-3-11
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Tokyo Olympics panel starts search for new boss after sexism row
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FILE PHOTO: Tokyo 2020 Olympics organizing committee president Yoshiro Mori announces his resignation as he takes responsibility for his sexist comments at a meeting with council and executive board members at the committee headquarters, in Tokyo, Japan February 12, 2021. Yoshikazu Tsuno/Pool via REUTERS/File Photo The panel charged with finding a new Tokyo Olympics chief after a sexism row began talks on Tuesday as campaigners called for more transparency in the selection process. The eight-person committee convened for the first time to discuss choosing a successor to Yoshiro Mori, 83, who stepped down Friday after his claims that women talk too much in meetings sparked widespread outrage. The panel “discussed the qualities required of a new president,” according to Tokyo 2020 organizers, and agreed on five selection criteria. But campaigners said the process should be made more transparent, with Games chiefs declining to identify the members of the panel, which was expected to have a 50-50 gender split. The postponed 2020 Games are set to begin in July, with officials and organizers insisting they will go ahead despite doubts over the event’s viability given the ongoing coronavirus pandemic. The formation of the new panel, headed by 85-year-old Canon CEO Fujio Mitarai, was announced Friday after Mori’s reported attempts to hand-pick 84-year-old Saburo Kawabuchi as his successor was met with opposition. “Now they say they won’t reveal who the members are of the committee to choose the next chief,” Kazuko Fukuda, a campaigner for women’s sexual and reproductive rights, told AFP. “So it’s really like the whole process will take place in secret again.” ‘DEEP UNDERSTANDING’ Equality campaigners handed a petition with more than 150,000 signatures to Tokyo 2020 organizers on Tuesday morning, urging them to put concrete measures in place to prevent further discrimination. The selection committee laid out five criteria for choosing a new president — sporting knowledge, international experience, management skills, familiarity with the Tokyo Games organization and “deep understanding” of Olympic principles, including “gender equality, diversity and inclusion.” The committee pledged to select candidates “as swiftly as possible”, with local media suggesting a new president could be named before the end of the week. Reports said Olympic Minister Seiko Hashimoto, Japanese Olympic Committee president Yasuhiro Yamashita and former hammer-thrower Koji Murofushi are among those in contention. Hashimoto — one of just two women in Japan’s cabinet — was reported as saying Tuesday that she had not been approached about taking over. “It should be done with transparency,” she said. “I hope we can get the new structure in place quickly.” Reports said the selection panel is expected to meet again on Wednesday to draw up a list of nominees. The final choice must be endorsed by Tokyo 2020’s executive board. Read Next Don't miss out on the latest news and information. Subscribe to INQUIRER PLUS to get access to The Philippine Daily Inquirer & other 70+ titles, share up to 5 gadgets, listen to the news, download as early as 4am & share articles on social media. Call 896 6000. For feedback, complaints, or inquiries, contact us.
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Warriors Teammate Praises Steph Curry and Draymond Green’s Hall of Fame IQ
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After a bumpy start to the 2020-21 NBA season, the Golden State Warriors are getting back in form. They made several changes to their roster in the offseason and it took some time for the players to settle in. But with the All-Star break almost here, the Dubs are looking consistent. The credit for their newfound success goes to none other than their veteran duo of Steph Curry and Draymond Green. Recently, the two stars flaunted their skills against the Cavaliers in a comfortable 129-98 victory. Curry continued his hot scoring streak with 36 points against the Cavs. On the other hand, Green handled the facilitating duties for the team as he finished the game with 16 assists. The two stars have shouldered the burden for the team in the absence of Klay Thompson. But can the Warriors go all the way and win another championship? We will find out in the coming months. Steph Curry and Draymond Green: The two pillars for the Golden State Warriors Golden State Warriors forward Kent Bazemore (26) and forward Juan Toscano-Anderson (95) and guard Stephen Curry (30) and forward Draymond Green (23) during the game between the Dallas Mavericks and the Golden State Warriors at the American Airlines Center. Mandatory Credit: Jerome Miron-USA TODAY SportsFollowing this sensational victory, Juan Toscano-Anderson gave an interesting post-game interview. He said: “I am a beneficiary of these guys, their hall of fame IQ. You know Draymond [Green] had 16 assists today and that’s amazing from our starting center. Last five games, he’s in double digits assists. … Either Steph [Curry] is open or Imma be open. “I’m aware that the defense ain’t gonna leave him so I just find those gaps and get those easy buckets. I know Draymond sees everything. Sometimes he sees it a little too quick before any of us see it, but it’s great to play with a guy like that.” Draymond Green has always been an amazing playmaker for the Dubs. Even during their stretch of dominance in the mid 2010s, he took on the role of a facilitator for their championship teams. This season, he is elevating his game further in that department. READ MORE | Steph Curry and LeBron James Ready to Move On From Intense Rivalry But is this enough for the Warriors to win another championship? Feel free to share your thoughts. Get notified about breaking news and watch highlights on the go; join the Arena on NBA Hoops
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Know the Top 5 Wicket-takers in ICC Champions Trophy 2017
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Today we bring you the Cricketers who picked the most wickets in Champions Trophy 2017. The 2017 Champions Trophy was played during June 1-18 in England, with eight teams participating divided in two groups and round robin matches among group teams would give the top 2 on points table, the 4 semifinalists who would then fight to enter the tournament final. India & Pakistan played the tournament final with Pakistan winning their first Champions Trophy title. Indian Batsman Shikhar Dhawan led the batting cards of the tournament edition. Here we detail the bowlers who grabbed the most wickets in Champions Trophy 2017. 5. Adil Rashid (England) The England Leg-spin bowler Adil Usman Rashid would go on to take 7 wickets from the three matches he played at an average of 20.28 & strike rate of 25.7. With these wickets, Adil Rashid featured in the top 5 list of the most wickets in Champions Trophy 2017. His best was 4/41 against Australia on June 10 at Edgbaston, Birmingham. Australia had made 277/9 from their overs with Aaron Finch’s 68, Steven Smith’s 56 & Travis Head’s 71 not out. Rashid & Mark Wood both took 4 wickets each. England won the rain curtailed match by 40 runs. Eoin Morgan scored 87 while Ben Stokes scored 102 not out to take the team through. 4. Liam Plunkett (England) The England Fast Bowler Liam Edward Plunkett would pick 8 wickets from the four matches he played in the ICC Champions Trophy 2017 at an average of 24.50 & strike rate of 25.1. With these wickets, Plunkett featured in the top 5 list of the most wickets in Champions Trophy 2017. His best was 4/55 at Sophia Gardens, Cardiff against New Zealand on June 6. England had batted first and were bowled out for 310 from their overs with Alex Hales’ 56, Joe Root’s 64 & Jos Buttler’s 61 not out. New Zealand, in reply, were bowled out for 223 with Plunkett’s 4, Jake Ball’s 2 & Adil Rashid’s 2. 3. Junaid Khan (Pakistan) The Pakistan Medium pace bowler would pick 8 wickets from the four matches he played in the ICC Champions Trophy 2017 at an average of 19.37 & strike rate of 25.3. With these wickets, Junaid Khan featured in the top 5 list of the most wickets in Champions Trophy 2017. His best was 3/40 against Sri Lanka on June 12. Batting First, the Sri Lankan team was restricted for 236 with Junaid’s 3 & Hasan Ali’s 3. Pakistan chased down the target & won by 3 wickets; Fakhar Zaman scored 50 while Sarfaraz Ahmed scored 71 not out. 2. Josh Hazlewood (Australia) The Australia Medium Pacer Josh Reginald Hazlewood would pick 9 wickets from the three matches he played in the ICC Champions Trophy 2017 at an average of 15.77 & strike rate of 18.6. With these wickets, Hazlewood featured in the top 5 list of the most wickets in Champions Trophy 2017. His best was 6/52 against New Zealand on June 2. Batting first, New Zealand were bowled out for 291 despite Kane Williamson’s 100 & Luke Ronchi’s 65. Hazlewood picked 6 while John Hastings took 2. The match couldn’t be completed as rains would play spoilsport. HUGE WICKET!Virat Kohli is dismissed for 89 – Josh Hazlewood is at it again 🙌#AUSvIND pic.twitter.com/LHYqltc09q— ICC (@ICC) November 29, 2020 1. Hasan Ali (Pakistan) The Pakistan medium pacer would go on to take 13 wickets from the five matches he played in 2017 edition of the ICC Champions Trophy at an average of 14.69 & strike rate of 20.5. With these wickets, Hasan Ali led the top 5 list of the most wickets in Champions Trophy 2017. His best was 3/19 against arch rivals India on June 18 at Kennington Oval, London. Pakistan had batted first and scored 338/4 with Fakhar Zaman’s 114, Azhar Ali’s 59 & Mohammad Hafeez’s 57 not out. India, in reply, were bowled out for 158; Hasan Ali & Mohammad Amir took 3 wickets each while Shadab Khan took 2. Only one bowler took 6 wickets haul, while six bowlers took 4-wickets hauls in the tournament. These were the top wicket-takers, the ones who made the top 5 list of the most wickets in ICC Champions Trophy 2017. The eight teams’ tournament ICC Champions Trophy 2017 was won by Pakistan. Hope you liked the content, don’t shy away from asking your questions, commenting about the content.
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Tom Brady: The Ultimate Villain Turned Babyface
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I have a confession to make. I like Tom Brady.10 years ago, I would have punched myself in the face for making a statement like that. Even two years ago, I would never admit my admiration for the seven-time Super Bowl championAs a Giants fan, I’m arguably one of two fanbases (the other being the Eagles) that have no reason to hate Brady for his success on the field. The Giants defeated Brady twice on the biggest stage. Big Blue stopped Brady and the 2007 Patriots from immortality, ruining the undefeated season. You’re welcome, Miami Dolphins.I hated Brady not for his play, but for the uniform he wore. The New England Patriots were the bad guys of the 2000s. The Patriots were the Galactic Empire, Bill Belichick was Darth Vader, and Gillette Stadium was the Death Star. From all the “gate” scandals to cheating implications, New England kept winning. To make matters worse, Patriots’ fans became insufferable. How many times did I have to hear “Our season starts in the AFC Championship” from New England fans? As much as I hated them, the fans were right.I may have disliked Brady, but I always respected TB12. He is the GOAT. That was never up for debate. The stats that support Brady’s GOAT case are unfathomable. Brady’s postseason numbers are “Gretzkyesque” and will take a monumental effort from a generational player to eclipse his stats.All-time playoff wins leaders 1) Tom Brady — 34 2) Tom Brady, only in conference championship games and Super Bowls combined — 17 T-3) Joe Montana, Tom Brady since turning 37 years old — 16— Tom Brady Facts (@TB_Facts) February 8, 2021As I watched Tom Brady hoist the Lombardi trophy for the seventh time, I said to myself, “This effing guy. Again?” The 43-year-old vet bested the 25-year-old phenom who wants to be the GOAT himself one day. It’s still possible Mahomes can become the GOAT, but the gap between Brady or Mahomes feels insurmountable.Then, I watched the parade. Brady was laughing hard and partying harder. I couldn’t help but smile at all the videos of Brady celebrating on his boat.He threw the Lomnbardi trophy to another boat in what could go down as the greatest pass of his career.TB12 skipped the diet today and pounded a few too many drinks. It was the most relatable clip from Brady I’ve ever seen.When Brady gets an assist out of the party, it’s fine, but when I get escorted out of the bar, it’s a problem. Life ain’t fair! https://t.co/bWyV2YtJ0e— Dan Girolamo (@Danny_Giro) February 10, 2021Over the past few years, Brady demonstrated his sense of humor with his social media posts after wins. From the TB Times to “W” videos, Brady knows how to assert himself as a winner. He’s also pretty funny and self-aware, evidenced by his avocado tequila tweet.How can you watch those videos with a straight face? TB12 is turning babyface right before our eyes. For the non-wrestling fans, that means he’s becoming a likable good guy. Most football fans hated Brady in New England because he was the perfect villain. Society loves to root for stars, but it also enjoys watching the villain fall.The more I laugh at Brady’s antics, the more I realize how much New England hindered his personality. Rob Gronkowski said he likes the “freedom of being yourself” in Tampa Bay, which was a clear shot at the disciplinarian system run by Belichick. That doesn’t make New England’s system wrong. The Patriots won six Super Bowls over the course of two decades. However, it’s tough to get a sense of a player’s true personality when Darth Vader is breathing down your neck.It’s Brady’s world and we’re all living in it. Right now, I like what I see from the GOAT.Do you like Tom Brady? Leave your thoughts in the comments below or tweet us, @unafraidshow.
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5 Valentine Gift Ideas for Card Lovers
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Valentine’s Day is celebrated all over the world on 14th February every year. This day marks the end of the week of love, which starts on 7th February. Valentine’s Day is the perfect time to express your love and feelings for someone special in your life. Many couples are seen celebrating this day with a lot of enthusiasm and passion. There are a lot of Valentine’s Day-themed parties and get-togethers arranged during the time, especially for lovebirds. You can plan for such parties, dinner dates or romantic trips to celebrate the day of love.  You can also opt for a low-key celebration like exchanging gifts or a movie night. However, you may be out of creative ideas for a Valentine gift. Still you cannot show up to the celebration with a mediocre gift since your partner deserves only the best. While flowers, a box of chocolates and soft toys are usually the go-to gifts for everyone, you can try to think out of the box this time. If your partner is a card lover, you can use any one of the following quick gift ideas that they will cherish for years to come: Valentine’s Day Coupon If your partner loves playing online card games like rummy, you can share special bonus codes that are available exclusively for Valentine’s Day. Many online rummy providers like Junglee Rummy offer a variety of coupon codes and exclusive offers for their users. You can use these codes to play cash rummy games and win exciting prizes. Instead of going out, you both can play online rummy together and have a great time. Make sure you learn and understand all the rummy rules well before entering a cash game. Maybe you can learn this wonderful game from your partner too. Now that’s a productive Valentine’s Day! A Brand-new Deck of Cards This is one of the best and most affordable gifts to give a surprise to your partner on Valentine’s Day. If they love playing card games, you can always give them a new deck of cards. Many people might perceive this to be a simple idea, but it could be useful in several ways. Firstly, you and your partner can learn new card games and play them. To make your partner feel more special, you can give them a customized deck of cards. For example, you can have your photos printed at the back of each card. You both can use this brand-new deck to play a wide variety of card games and enjoy quality time together. A Deck of Cards with Love Messages This may not be a go-to gift for a lot of people. However, if your partner is crazy about card games, they would cherish it forever. It might be even more special if you have never given a love-letter or love-note to your partner before. To do this, you need to find a deck of cards that are blank on one side and have some unique design on the back. After finding such a deck, you can use a pen or a marker to write cute love notes on each card. You can pour out your heart and elaborate to your partner their importance in your life. This is a simple DIY gift idea that takes barely any time to make. A Set of Polaroid Cards Polaroid cameras are extremely popular today, especially with young people. You can often see youngsters clicking photos and selfies using a polaroid camera and then posting pictures of their polaroids on their social media. Since they are a major trend, how about gifting your partner polaroid cards. Sounds really fun, right? Well it is equally fun to create these cards too. You can shortlist your best pictures with your partner. It could be special moments, candid photos, holiday or vacation pictures, etc. Now get these pictures printed on card-sized polaroids. To make the gift even more romantic, add a special message or a note on every card. Arrange the cards in a photo album or place them in a customized box and give them to your partner. Now wait for their reaction! We are 100% sure that they would love this gift. If you have more time, you can also go a little overboard with this idea. Just make a tiny hole on the side of each picture and tie a ribbon to hang them on a wall. You can also stick the ribbon to the ceiling of your room so that each picture would float in the air. You can then decorate the room with balloons and flowers to make it more special! A Cake with Card Design A card cake is a unique gift idea for Valentine’s Day. There are a lot of cake designers who make customized cakes and pastries. You can ask a cake designer to make a cake with the queen of hearts design.  If not a cake, you can instead ask them to design pastries with four card suit symbols. Later you can get a card deck too to play card games while enjoying the cake or pastries. We hope that you have a great Valentine’s Day with your love or loved ones. If you are looking for platforms to play online rummy, you can always rely on Junglee Rummy. We are the most trusted rummy site and have over 25 million registered users. Here you can play a variety of games like free and cash games and rummy tournaments.  You can play with some of the most skilled rummy players to enhance your rummy skills. You can then join tournaments and win coveted prizes worth lakhs and crores of rupees. Download the rummy app now and get an exciting welcome bonus up to ₹8850!
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What is Matka? How to play Satta Matka
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Visit Betway's live casino page. What is Matka? Matka is a simple lottery-style betting game which involves guessing two random numbers between 1-9. Among several types of markets, you can win up to 999x your stake by correctly guessing the right sequence of numbers. Card versions of Matka, which are enjoyed by Indian Casino users, have also been developed over the years. How to play Matka The game starts with the player picking their first set of three numbers between 0 and 9, for example: 1, 4, 7. These three numbers are then added up – 1+4+7= 12. The first digit of that total number is dropped, leaving ‘2’. The final selection then looks like 1, 4, 7*2. The player then picks their second set of numbers in exactly the same way, for example: 2, 6, 8. 2+6+8=16, leaving you with 6 as the selection. The second set of numbers is therefore 2, 6, 8*6. Once your full selection is confirmed – in this case, 1, 4, 7*2 X 2, 6, 8*6 – you choose your bet. There are a number of different bets you can place based on the numbers you have chosen, including a bet that would return 9x your stake on whether your first selection (in this case, 2) is correct. After you have placed your bets, the winning numbers will be drawn randomly and all winning bets will be immediately paid out. History of Matka The game originated when bets used to be placed on the opening and closing numbers of the cotton rates that were sent to the Bombay Cotton Exchange from the New York Cotton Exchange. That practise was outlawed in 1961, but the style of game continued when it was proposed that people could simply punt on randomly-generated numbers instead. Pakistani Ratan Khatri proposed that the numbers be written on pieces of paper and drawn from a ‘matka’, a type of pot. Although the way in which the numbers are drawn has changed over the years, the term ‘matka’ has survived.
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Criticisms of Michael Slepian’s Stanford study on poker tells and hand movements (published 2015)
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Some places the study was featured. The following is reposted from a 2015 piece I wrote for Bluff magazine. It was originally located at this URL but has become unavailable due to Bluff going out of business. I saw this study mentioned recently in Maria Konnikova’s book ‘The Biggest Bluff’ and was reminded about this piece and noticed it was offline, so I wanted to share it again. A few notes on this piece: The original title below and was more negative-sounding than I liked; Bluff chose it. Also, if I could rewrite this piece now, I’d probably choose less negative-sounding phrasing in some places.  Regardless of the exact factors that might be at work in the found correlation, I realize it’s scientifically interesting that a significant correlation was found. But I also think it’s possible to draw simplistic and wrong conclusions from the study, and my piece hopefully gives more context about the factors that might be at work. Image on left taken from Michael Slepian’s media page. The Slepian Study on Betting Motions Doesn’t Pass Muster A 2013 study¹ conducted at Stanford University by graduate student Michael Slepian and associates found a correlation between the “smoothness” of a betting motion and the strength of the bettor’s hand. In a nutshell, there was a positive correlation found between betting motions perceived as “smooth” and “confident” and strong hands. The quality of the betting motions was judged by having experiment participants watch short clips of players making bets (taken from the 2009 WSOP Main Event) and estimate the hand strength of those bets. This experiment has gotten a lot of press over the last couple years. I first heard about it on NPR. Since, I’ve seen it referenced in poker blogs and articles and in a few mainstream news articles. I still occasionally hear people talk about it at the table when I play. I’ve had friends and family members reference it and send me links to it. It’s kind of weird how much attention it received, considering the tons of interesting studies that are constantly being done, but I guess it can be chalked up to the mystique and “sexiness” of poker tells. The article had more than casual interest for me. I’m a former professional poker player and the author of two books on poker behavior: Reading Poker Tells and Verbal Poker Tells. I’ve been asked quite a few times about my opinion on this study, and I’ve been meaning to look at the study more closely and write up my thoughts for a while. In this article, I’ll give some criticisms of the study and some suggestions for how this study (and similar studies) could be done better. This isn’t to denigrate the work of the experiment’s designers. I think this is an interesting study, and I hope it will encourage similar studies using poker as a means to study human behavior. But I do think it was flawed in a few ways, and it could be improved in many ways. That’s not to say that I think their conclusion is wrong; in fact, in my own experience, I think their conclusion is correct. I do, however, think it’s a very weak general correlation and will only be practically useful if you have a player-specific behavioral baseline. My main point is that this study is not enough, on its own, to cause us to be confident about the conclusion. I’ll give a few reasons for why I think the study is flawed, but the primary underlying reason is a common one for studies involving poker: the study’s organizers just don’t know enough about how poker works. I’ve read about several experiments involving poker where the organizers were very ignorant about some basic aspects of poker, and this affected the way the tests were set up and the conclusions that were reached (and this probably applies not just to poker-related studies but to many studies that involve an activity that requires a lot of experience to understand well). Poker can seem deceptively simple to people first learning it, and even to people who have played it for decades. Many bad players lose money at poker while believing that they’re good, or even great players. In the same way, experiment designers may falsely believe they understand the factors involved in a poker hand, while being far off the mark. Here are the flaws, as I see them, in this study: 1. The experimenters refer to all WSOP entrants as ‘professional poker players.’ This first mistake wouldn’t directly affect the experiment, but it does point to a basic misunderstanding of poker and the World Series of Poker, which might indirectly affect other aspects of the experiment and its conclusions. Here are a couple examples of this from the study: The World Series of Poker (WSOP), originating in 1970, brings together professional poker players every year (from the study’s supplemental materials) These findings are notable because the players in the stimulus clips were highly expert professionals competing in the high-stakes WSOP tournament. The WSOP Main Event is open to anyone and most entrants are far from being professional poker players. Categorizing someone’s poker skill can be difficult and subjective, but Kevin Mathers, a long-time poker industry worker, estimates that only 20% of WSOP Main Event entrants are professional (or professional-level) players. This also weakens the conclusion that the results are impressive due to the players analyzed being professional-level. While the correlation found in this experiment is still interesting, it is somewhat expected that amateur players would have behavioral inconsistencies. I’d be confident in predicting that a similar study done on only video clips of bets made by professional poker players would not find such a clear correlation. 2. Hand strength is based on comparing players’ hands This is a line from the study that explains their methodology for categorizing a player’s hand as ‘weak’ or ‘strong’: Each player’s objective likelihood of winning during the bet was known (WSOP displays these statistics on-screen; however, we kept this information from participants by obscuring part of the screen). They relied on the on-screen percentage graphics, which are displayed beside a player’s hand graphics in the broadcast. These graphics show the likelihood of a player’s hand winning; it does this by comparing it to the other players’ known hands. This makes it an illogical way to categorize whether a player believes he is betting a weak or strong hand. If this isn’t clear, here’s a quick example to make my point: A player has QQ and makes an all-in bet on a turn board of Q-10-10-8. Most people would say that this player has a strong hand and has every reason to believe he has a strong hand. But, if his opponent had 10-10, the player with Q-Q would have a 2.27% chance of winning with one card to come. According to this methodology, the player with the Q-Q would be judged as having a weak hand; if the test participants categorized that bet as representing a strong hand, they would be wrong. It’s not stated in the study or the supplemental materials if the experimenters accounted for such obvious cases of how using the percentage graphics might skew the results. It’s also not stated how the experimenters would handle river (last-round) bets, when one hand has a 100 percent winning percentage and the losing hand has 0 percent (the only exception would be a tie). It’s admittedly difficult to come up with hard-and-fast rules for categorizing hand strength for the purposes of such an experiment. As someone who has thought more than most about this problem, for the purpose of analyzing and categorizing poker tells, I know it’s a difficult task. But using the known percentages of one hand beating another known hand is clearly a flawed approach. The optimal approach would probably be to come up with a system that pits a poker hand against a logical hand range, considering the situation, or even a random hand range, and uses that percentage-of-winning to rank the player’s hand strength. If this resulted in too much hand-strength ambiguity, the experiment designers could throw out all hands where the hand strength fell within a certain medium-strength range. Such an approach would make it more likely that only strong hand bets and weak hand bets were being used and, equally important for an experiment like this, that the player believed he or she was betting either a strong or weak hand. 3. Situational factors were not used to categorize betting motions When considering poker-related behavior, situations are very important. A small continuation-bet on the flop is different in many ways from an all-in bet on the river. One way they are different: a small bet is unlikely to cause stress in the bettor, even if the bettor has a weak hand. Also, a player making a bet on an early round has a chance for improving his hand; whereas a player betting on the river has no chance to improve his hand. When a player bets on the river, he will almost always know whether he is bluffing or value-betting; this is often not the case on earlier rounds, when hand strength is more ambiguous and undefined. This experiment had no system for selecting the bets they chose for inclusion in the study. The usability of the clips was apparently based only on whether the clip meant certain visual needs of the experiment: i.e., did the footage show the entirety of the betting action and did it show the required amount of the bettor’s body? From the study: Research assistants, blind to experimental hypotheses, extracted each usable video in each installment, and in total extracted 22 videos (a standard number of stimuli for such studies; Ambady & Rosenthal, 1993) for Study 2 in the main text. Study 1 videos required a single player be in the frame from the chest-up, allowing for whole-body, face-only, and arms-only videos to be created by cropping the videos. These videos were therefore more rare, and the research assistants only acquired 20 such videos. The fact that clips were chosen only based on what they showed is not necessarily a problem. If a hand can be accurately categorized as strong or weak, then it doesn’t necessarily matter when during a hand it occurred. If there is a correlation between perceived betting motion quality and hand strength, then it will probably make itself known no matter the context of the bet. Choosing bets only from specific situations would have made the experiment stronger and probably would have led to more definite conclusions. It could also help address the problem of categorizing hand strength. For example, if the experiment designers had only considered bets above a certain size that had occurred on the river (when all cards are out and there are no draws or semi-bluffs to be made), then that would result in polarized hand strengths (i.e., these bets would be very likely to be made with either strong or weak hands). Also, the experiment’s method for picking clips sounds like it could theoretically result in all strong-hand bets being picked, or all weak-hand bets being picked. There is nothing in the experiment description that requires a certain amount of weak hands or strong hands. This is not in itself bad, but could affect the experiment in unforeseen ways. For example, if most of the betting motion clips chosen were taken from players betting strong hands (which would not be surprising, as most significant bets, especially post-flop, are for value), then this could introduce some unforeseen bias into the experiment. One way this might happen: when a video clip shows only the betting motion (and not, for example, the bettor’s entire torso or just the face, as were shown to some study groups), this focus might emphasize the bet in the viewer’s mind and make the bet seem stronger. And if most of the hands-only betting clips were of strong-hand bets (and I have no idea how many were), the study participants watching only the hand-motion betting clips would falsely appear to be making good guesses. My main point here is that thinking about the situational factors of a betting motion, and incorporating that into the experiment in some way, would have resulted in less ambiguity about the results. (It appears that it was difficult to find usable clips from a single WSOP event; in that case, the experimenters could just add footage from another WSOP Main Event to the study.) 4. The number of chips bet was not taken into account The experiment designers did not take into account the chips that were bet. In their words: During betting, each player pushes poker chips into the center of the table. Each chip has a specific color, which indicates a specific value. These values range from $25 to $100,000. This range of chip values has a crucial consequence for the current work. The number of chips does not correlate with the quality of the hand (see Table 1A in the main text). Players could move a stack of 20 chips into the center of the table, and this could be worth $500 or $2,000,000 (the winner of the 2009 WSOP won $8,547,042, thus the latter bet magnitude is a bet that can be made in the WSOP). Because no participants were professional poker players, nor considered themselves poker experts, they were not aware of chip values. They could not, then, use the number of chips as a valid cue to judge poker hand quality. It’s true that your average person would not know what the chip colors at the WSOP Main Event mean. But it seems naïve to think that seeing the chips being bet couldn’t possibly have an effect on the experiment. For one thing, the number of chips being bet could bias a participant to think a bet was stronger or weaker, whether correctly or incorrectly. What if all the strong-hand bets in the study were also bets that involved a lot of chips? (This is not implausible because smaller bets with weak hands are common early in a hand, when bets are small, whereas larger bets later in the hand are more likely to represent strong hands.) And what if some of the study participants were able to deduce (consciously or unconsciously) the strength of the bet from the number of chips? Also, it’s possible that some of the test participants were knowledgeable (consciously or not) about some WSOP chip colors and what their denominations were. Or they were able to deduce (consciously or not), from the arrangement and number of chips, what the chip values were. (For example, large denomination chips are generally required to be kept at the front of a player’s stack.) Again, this could have been addressed by selecting bets taken only from specific situations and only of certain bet sizes. If all bets chosen were above a certain bet size, and this was communicated to the study participants, then this would have lessened the impact of the chips being able to be seen. 5. Quality of “smoothness” was subjective The experiment was based on the perceptions of study participants watching the assembled video clips. It was not based on objective measurements of what constitutes “smoothness” of a betting motion. This was a known issue in the experiment: Thus, both player confidence and smoothness judgments significantly predicted likelihoods of winning, which suggests that movement smoothness might be a valid cue for assessing poker hand quality. It is unknown, however, how participants interpreted “smoothness” or whether the players’ movements that participants rated as smooth were truly smoother than other players’ movements. Other physical factors, such as speed, likely played a role. This is not a major criticism; I think using perception is a fine way to find a correlation, especially for a preliminary study. But I think it does mean that we have no reason to be confident in the idea that smoothness of betting motion is correlated with hand strength. If there is are correlations between betting motion and hand strength (which I believe there are), these could be due to other aspects of arm motion or hand motion, such as: the betting speed, the position of the hands, the height of the hand, or other, more obscure, factors. In summary Again, I don’t mean to denigrate the experiment designers and the work they’ve done. I think this was an interesting experiment, and I think it’s probable the correlation they noticed exists (however weak the correlation may be). Also, as someone who is very interested in poker behavior, I’d love to see similar studies be done. My main goal in writing these criticisms and suggestions was to emphasize that poker is complex, as is poker behavior. There are many behavioral factors in a seemingly simple hand of poker and taking these factors into account can make an experiment stronger and the results more conclusive. Patricia Cardner, PhD, EdD, is a poker player and the author of Positive Poker, a book about the psychological characteristics of professional poker players. She had this to say about poker’s use in scientific studies: “While researchers often have the best of intentions, it is difficult for them to fully understand the nuances of poker. Researchers who reach out to poker players for help can make more informed decisions about the research areas they choose to pursue, increase reliability and validity, and improve the overall quality of their results and conclusions.” ¹: Slepian, M.L., Young, S.G., Rutchick, A.M. & Ambady, N. Quality of Professional Players’ Poker Hands Is Perceived Accurately From Arm Motions. Psychological Science (2013) 24(11) 2335–2338. Related
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Get Ready for 107 MicroMillions Events Across Only Four Days!
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February 11 2021 Matthew Pitt MicroMillions returns to PokerStars from February 11 but does so with a twist. PokerStars has named the festival MicroMillions Marathon and you’re about to discover why the new name is so fitting. MicroMillions Marathon takes place at PokerStars from February 11 through February 14, a period of only four days. Despite the short runtime, the festival boasts of a schedule featuring 107 tournaments and combined guaranteed prize pools weighing in at $3 million! It truly is a marathon series. There’s a new MicroMillions Marathon tournament starting every half hour throughout almost all the series. The first tournament, a $3.30 buy-in 3-Stack Turbo 6-Max with $5,000 guaranteed, shuffles up and deal at 7:04 a.m. ET (12:04 p.m. GMT) on February 11. Another 24 micro-stakes tournaments are schedule that day! It is a similar story on February 12 when another 25 MicroMillions Marathon tournaments run throughout the day. What better way to spend a Friday than by grinding more than two dozen tournaments from the comfort of your own home? The weekend sees the remaining 57 events take place, including a massive $1 million guaranteed MicroMillions Marathon PKO Main Event costing only $22 on February 14. “shkolota148” Turns $50 Into $116K and 50/50 Series Main Event Title Sign Up to PokerStars Today You’ll obviously need a PokerStars account if you want to compete in any of the 107 MicroMillions Marathon events. If you don’t have an account, download PokerStars via PokerNews to get your hands on a lucrative welcome bonus worth up to£400. Create your free PokerStars account, make a deposit using the bonus code "200PERCENT" and PokerStars matches your deposit 200 percent up to £400. In fact, your first three deposits in the first 60-days after creating your account are matched up to a combined £400. You then have four months to release as much of this bonus as you can by playing real money poker, including cash games, tournaments, and even Spin & Go tournaments. Full 107-Event MicroMillions Marathon Schedule DateTime (ET)EventGuarantee Thu 11 Feb07:04001: $3.30 3-Stack, Turbo (6-max)$5,000  08:04002: $1.10 PKO, Hyper-Turbo (4-max)$3,500  09:04003: $5.50 NLHE$12,500  09:34004: $1.10 PLO (8-max)$3,500  10:04005: $3.30 PKO Zoom, Turbo (6-max)$10,000  10:34006 $5.50 Heads-Up, Total PKO, Hyper-Turbo$5,000  11:04007: $3.30 NLHE$12,500  11:34008: $1.10 PKO, Turbo (8-max)$8,000  12:04009: $3.30 Win The Button$12,500  12:34010: $5.50 PLO, Turbo (6-max)$8,000  13:04011: $11 (8-max)$80,000  13:34012 $3.30 PKO$40,000  14:04013: $5.50 NLHE$35,000  14:34014: $1.10+R, Hyper-Turbo (8-max)$40,000  15:04015: $3.30 PLO-H/L, PKO, Turbo (8-max)$10,000  15:34016: $5.50 PKO, Turbo$40,000  16:04017: $1.10 NLHE$8,000  16:34018: $5.50 Limit 8-Game (6-max)$3,500  17:04019: $1.10 NLHE (6-max)$5,000  17:34020: $3.30 Hyper-Turbo, Bubble Rush (8-max)$12,500  18:04021: $5.50 PKO (8-max)$20,000  18:34022: $3.30 NLHE$15,000  19:04023: $1.10 PKO$7,500  19:34024: $3.30 4-max, Turbo, Shootout$3,500  20:04025: $1.10 Big PKO, Turbo$3,500 Fri 12 Feb07:04026: $1.10 Zoom, Turbo (8-max)$3,000  08:04027: $3.30 PKO, Turbo (6-max)$10,000  09:04028: $1.10 NLHE (6-max)$5,000  09:34029: $5.50 NLHE$10,000  10:04030: $1.10 NLHE$8,000  10:34031: $3.30 NLHE (8-max)$10,000  11:04032: $5.50 PKO, Turbo (8-max)$35,000  11:34033: $1.10 PKO, Hyper-Turbo, Zoom$10,000  12:04034: $3.30 NLHE (8-max)$30,000  12:34035: $5.50 NLO, Turbo (6-max)$12,500  13:04036: $3.30 PKO$20,000  13:34037: $11 PKO (8-max)$100,000  14:04038 $5.50 NLHE$40,000  14:34039: $3.30+R, Hyper-Turbo (8-max)$40,000  15:04040: $5.50 PKO, Turbo, Zoom (8-max)$50,000  15:34041: $1.10 PKO$10,000  16:04042: $3.30 6+ Hold’em (6-max)$7,500  16:34043: $5.50 (8-max)$15,000  17:04044: $1.10 PKO, Turbo, Win the Button$5,000  17:34045: $3.30 PKO, Turbo$20,000  18:04046: $1.10 Omaha H/L, PKO (8-max)$3,500  18:34047 $5.50 PKO, Hyper-Turbo, Bubble Rush$10,000  19:04048 $1.10 Turbo (6-max)$5,000  19:34049: $3.30 Deep Stacks, Hyper-Turbo$5,000  20:04050: $1.10 Hyper Turbo$3,500 Micro Stakes Poker Strategy: How to Beat the Games Online DateTime (ET)EventGuarantee Sat 13 Feb06:04051: $5.50 PKO, Turbo (7-max)$8,000  07:04052 $3.30 NLHE (8-max)$5,000  08:04053: $1.10 NLHE$5,000  08:34054: $3.30 PKO$10,000  09:04055: $1.10 Hyper-Turbo (6-max)$5,000  09:34056: $5.50 PKO (8-max)$12,500  10:04057: $1.10 NLHE$5,000  10:34058: $3.30 PL Fusion (6-max)$3,500  11:04059: $5.50 PKO, Turbo (7-max)$20,000  11:34060: $1.10 NLHE$7,500  12:04061: $3.30 PLO, PKO (6-max)$5,000  12:34062: $9.80 Big PKO (8-max)$125,000  13:04063: $3.30 NLHE$40,000  13:34064: $1.10+R Splash (8-max)$50,000  14:04065: $5.50 PKO$40,000  14:34066: $3.30 Turbo (7-max)$35,000  15:04067: $1.10 NLHE (8-max)$10,000  15:34068: $5.50 NL Omaha H/L, PKO (6-max)$12,500  16:04069: $3.30 Heads-Up, Total PKO, Turbo, Zoom$10,000  16:34070: $1.10 Win the Button (4-max)$7,500  17:04071: $3.30 NL 6+ Hold’em, PK (6-max)$7,500  17:34072: $5.50 Hyper-Turbo, Bubble Rush (8-max)$5,000  18:04073: $1.10 Turbo (7-max)$3,500  18:34074: $5.50 PKO$10,000  19:04075: $3.30 NLHE$7,500  19:34076: $5.50 Big PKO, Hyper-Turbo (6-max)$5,000  20:04077: $1.10 Turbo (6-max)$3,500 Sun 14 Feb06:04078: $1.10 Total PKO, Turbo (6-max)$3,500  06:34079: $3.30 Zoom (8-max)$10,000  07:04080: $5.50 PKO, Turbo (8-max)$25,000  07:34081: $3.30 Big PKO$10,000  08:04082: $1.10 PKO, Deep Stacks, Hyper-Turbo (8-max)$5,000  08:34083: $5.50 NLHE$15,000  09:04084: $1.10 NLHE$5,000  09:34085: $3.30 PKO, Turbo$15,000  10:04086: $5.50 Win the Button (8-max)$10,000  10:34087: $1.10 NL Omaha (6-max)$3,500  11:04088: $3.30 NLHE$15,000  11:34089: $5.50 NLHE$25,000  12:04090: $1.10 Turbo (8-max)$15,000  12:34091: $5.50 PKO$60,000  13:04092: $3.30 (6-max)$40,000  13:34093: $22 Main Event, PKO$1,000,000  14:04094 $5.50 PKO (8-max)$75,000  14:34095: $11 NLHE$100,000  15:04096: $3.30 PKO$60,000  15:34097: $5.50 Turbo (8-max)$50,000  16:04098: $1.10 PKO$20,000  16:34099: $3.30 Limit Horse (6-max)$7,500  17:04100: $1.10 NLHE$5,000  17:34101: $5.50 6+ Hold’em (6-max)$15,000  18:04102: $3.30 Total PKO, Turbo (8-max)$20,000  18:34103: $5.50 PL Omaha H/L, PKO (6-max)$12,500  19:04104: $1.10 Hyper-Turbo, Bubble Rush (8-max)$7,500  19:34105: $3.30 NLHE (8-max)$20,000  20:04106: $5.50 Turbo$30,000  20:30107: $1.10 Turbo (8-max)$10,000 The Stars Group is a majority shareholder in Oddschecker Global Media, the parent company of PokerNews
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