{"id":12883,"date":"2016-12-31T12:50:59","date_gmt":"2016-12-31T17:50:59","guid":{"rendered":"http:\/\/chcollins.com\/100Billion\/?p=12883"},"modified":"2023-10-06T11:55:19","modified_gmt":"2023-10-06T15:55:19","slug":"the-price-is-right-showcase-showoff","status":"publish","type":"post","link":"https:\/\/chcollins.com\/100Billion\/2016\/12\/the-price-is-right-showcase-showoff\/","title":{"rendered":"\u201cThe Price is Right\u201d Showcase Showoff"},"content":{"rendered":"<p><a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/Yodely-Me.png\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-12990\" style=\"margin-left: 20px; width: 118px;\" src=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/Yodely-Me.png\" alt=\"Yodely Guy\" width=\"118\" height=\"240\" srcset=\"https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/Yodely-Me.png 296w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/Yodely-Me-148x300.png 148w\" sizes=\"auto, (max-width: 118px) 100vw, 118px\" \/><\/a>These days, Sue and I usually have lunch together over an episode of <a style=\"color: #3366ff;\" href=\"http:\/\/mentalfloss.com\/article\/73524\/14-showcased-facts-about-price-right\" target=\"_blank\" rel=\"noopener\"><em><span style=\"color: #3366ff;\">The Price is Right<\/span><\/em><\/a>.\u00a0 It is just and proper that we do so &#8212; we are both over sixty, we enjoy Drew Carey, and we like to compete with each other.\u00a0 After a few months of comparing our guesses in the showcase round, I proposed that we have an official 100-showcase tournament: Sue and I would make our guesses for each showcase, and the person closest to the actual price without going over would win that showcase.\u00a0 If we both overbid, there would be no winner. Here are our results, along with my rules-of-thumb for guessing showcase prices and a few other interesting findings.<\/p>\n<h2><em>How we guessed our guesses<\/em><\/h2>\n<p>A showcase generally comprises a low-priced item ($1000-$3000), a mid-priced item\u00a0or bundle ($5000-$8000), and a high-priced feature item like a car or boat ($15,000-plus).\u00a0 Sometimes, instead of offering a big-ticket item, the producers will put together a package of variously-priced vacations. The key to a good guess is knowing the rules-of-thumb for pricing vacations and the more expensive items.\u00a0 I based the following rules on personal experience &#8212; the <em>TPIR<\/em> <a href=\"http:\/\/www.qwizx.com\/tpirepguide\/\" target=\"_blank\" rel=\"noopener\">episode database<\/a> does not go into enough detail for me to provide item-by-item price statistics.<\/p>\n<p><em>VACATIONS<\/em>:\u00a0 Showcase vacations range from three-night stays in nearby cities such as Las Vegas or San Fransisco to six-night trips halfway around the world.\u00a0 A reasonable starting point for a <em>TPIR<\/em> vacation price is $4000, plus $1000 for every time-zone change from Los Angeles to the destination.\u00a0 You might add $1000 for big cities like New York, London and Paris.\u00a0 For showcase purposes, I figure six nights for two people to Cancun is about $5000; Boston or New York at $7000-$8000; the Caribbean at $8000; Europe at $11,000-$12,000; and Fiji, Bali, Thailand or New Zealand at $13,000-$14,000.<\/p>\n<p><em><a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/fridge.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-13063\" style=\"margin-top: -6px; width: 88px;\" title=\"Fridge with three doors and bow tie\" src=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/fridge-176x300.jpg\" alt=\"Fridge with three doors and bow tie\" width=\"88\" height=\"150\" srcset=\"https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/fridge-176x300.jpg 176w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/fridge.jpg 247w\" sizes=\"auto, (max-width: 88px) 100vw, 88px\" \/><\/a>KITCHEN APPLIANCES:<\/em> For the standard set of stainless-steel appliances (dishwasher, range, microwave and <a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/fridge.jpg\" target=\"_blank\" rel=\"noopener\">refrigerator<\/a>), I start at $5500-$6000.\u00a0 I may add another $1000 if the fridge has a third door or the range has custom features.<\/p>\n<p><em>MOTORCYCLES: <\/em>My rule-of-thumb is $2500 per 200cc of engine size.<\/p>\n<p><em>JET SKIS:<\/em> Some showcases may include one large jet-ski (always with trailer) or two smaller jet-skis, but either way I throw in $8,000.<\/p>\n<p><em>BRAND NEW CARS:<\/em> Someday, inflation will make this rule-of-thumb obsolete, but right now a very good baseline guess for showcase car prices is $10,000 per liter of engine size.\u00a0 If the trim-line is L (luxury) instead of S (standard), add another $1000.\u00a0 If the car is made by a German corporation (BMW, Mini Cooper, Volkwagen), add $2000 &#8212; they are always more expensive than they look.\u00a0 For a Kia or Dodge, subtract $1000, as they are cheaper than they look.\u00a0 For SUVs, add $3000-$5000, depending on the manufacturer.<\/p>\n<p><em>BOATS:<\/em> I have had a hard time coming up with a pricing rule for this category.\u00a0 There are sailboats, pontoon party boats, jet boats and motor boats.\u00a0 They are almost always 15 to 17 feet long, so pricing by the foot ($1000 per foot, plus $1000 for the trailer) only takes you so far.\u00a0 I usually add $2000-$4000 if the boat has a big motor, looks especially muscular, or the announcer includes the word &#8220;deluxe&#8221; in the description.<\/p>\n<h2><em><a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-13009\" style=\"margin-top: -2px; margin-left: 8px; width: 280px;\" src=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2-300x186.jpg\" alt=\"100 Showcase Tournament Results\" width=\"280\" height=\"174\" srcset=\"https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2-300x186.jpg 300w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2-640x398.jpg 640w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2.jpg 998w\" sizes=\"auto, (max-width: 280px) 100vw, 280px\" \/><\/a>And the winner is&#8230;<\/em><\/h2>\n<p>After 100 showcases (<a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasepi2.jpg\" target=\"_blank\" rel=\"noopener\">click chart<\/a> at right), I had won 43 (just call me <em>champ<\/em>), Sue had won 30, and we both overbid on 27.\u00a0 I overbid more often than Sue, but my guesses were usually closer to the actual price.<\/p>\n<p>You know me: I had to go full-costume nerd with our tournament data, and in doing so gained some insight on bidding behaviors.\u00a0 I started by plotting the over-under errors of our guesses vs. the actual prices, and was surprised to see that our data clusters looked pretty similar.\u00a0 [On the <a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice.jpg\" target=\"_blank\" rel=\"noopener\">graph<\/a> below, the bold horizontal line denotes zero error &#8212; overbids are plotted above the line, underbids below.]\u00a0 Our trend lines (blue and gold) show how we both tend to overbid lower-priced showcases and underbid higher-priced ones.<\/p>\n<p><a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-12996 size-medium\" style=\"margin-top: 10px;\" title=\"Showcase Error vs Actual Price\" src=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice-300x218.jpg\" alt=\"Showcase Error vs Actual Price\" width=\"300\" height=\"218\" srcset=\"https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice-300x218.jpg 300w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice-640x464.jpg 640w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcase-guessvsprice.jpg 827w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>While I was a bit more accurate than Sue at the high end, we were both prone to overbid on showcases less than the median price ($26,897).\u00a0 I think I can explain this as an example of <a title=\"Anchoring\" href=\"http:\/\/skepdic.com\/anchoring.html\">anchoring<\/a>, a cognitive bias first described by <a title=\"Amos Tversky\" href=\"https:\/\/en.wikipedia.org\/wiki\/Amos_Tversky\" target=\"_blank\" rel=\"noopener\">Tversky<\/a> and <a title=\"Daniel Kahneman\" href=\"https:\/\/en.wikipedia.org\/wiki\/Daniel_Kahneman\" target=\"_blank\" rel=\"noopener\">Kahneman<\/a> (1974). Anchoring takes place when\u00a0a typical price or price range is established ahead of time.\u00a0 The anchor price sticks in one&#8217;s mind and influences one&#8217;s later estimates.<\/p>\n<p>In the weeks before our tournament, Sue and I obviously obtained a feel for the price of a typical showcase.\u00a0 I surmise that, with this anchor price in our minds, we unconsciously adjusted our lower bids up toward the anchor and our higher bids downward, so that they deviated less from the norm.<a style=\"text-decoration: none;\" href=\"#priceright1\">\u00b9<\/a>\u00a0 In fact, I recall that, when making some of my high guesses, I found myself thinking, &#8220;It can&#8217;t be worth<em> that<\/em> much!&#8221;<\/p>\n<p>It would be interesting (to me, anyway) to see whether other experienced players would reproduce this over-under tendency.\u00a0 My guess is yes.<\/p>\n<h2><em>That&#8217;s too much!<\/em><\/h2>\n<p>Our showcase overbid rates (40% for me, 32% for Sue, 27% double-over) were well above the <a href=\"http:\/\/tpirstats.com\/Season43\/\" target=\"_blank\" rel=\"noopener\">25% overbid rate<\/a> and the 6% double-over rate of last year&#8217;s <em>TPIR <\/em>contestants.\u00a0 Why?\u00a0 What does this say about our bidding?\u00a0 Can these questions even be answered?<\/p>\n<p>In my effort to explain our overbids, I must have read (or slept through) over two hundred articles and lectures on game theory; I learned about <em>probability density,<\/em> the Liebniz rule and Bayesian auctions; and I scratched out page after page of calculations (most of which were dead ends).\u00a0 I\u00a0even programmed a showcase simulator to help me test strategies.<\/p>\n<p>In the end, I finally did find the optimum <em>TPIR<\/em> showcase bidding strategy &#8212; but it is far too detailed to describe in this post.\u00a0 I intend to publish my solution in the next few weeks, as soon as I finish my analysis of showcases involving opponents of different skill levels.\u00a0 In the meantime, however, I can offer my readers the following first-order approximation: when the players have roughly equal estimation skills, each should bid the <em>lowest<\/em> possible price that his or her showcase could be worth.\u00a0 Why?\u00a0 Because it is far worse to overbid your showcase (instant loss) than it is to underbid and hope that your opponent will either overbid his showcase or underbid his by more than you did yours.<\/p>\n<p>But what about players with unequal estimation skills?\u00a0 In this case, the less-skilled player will have to bump up her bid (and accept the risk of overbidding) if she wants to maximize her chance of winning.\u00a0 The worse her relative skill level is, the closer her bid should be to her midpoint estimate.<\/p>\n<p>The specifics will be discussed in my upcoming paper.\u00a0 You will assuredly be notified here when it is ready.<\/p>\n<p>One last comment about overbid rates.\u00a0 If the population of <em>TPIR<\/em> contestants were equally divided between minimum-bidders and midpoint-bidders, and the showcase players were drawn from this population at random, then the long-term individual overbid rate would be 25% and the chance of both players overbidding would be about 6%.<a style=\"text-decoration: none;\" href=\"#priceright1\">\u00b2<\/a>\u00a0 This is very close to the game statistics cited above.\u00a0 Coincidence?\u00a0 Probably.\u00a0 Without doing post-showcase interviews, it would be impossible to say what bidding strategies the players actually used.<\/p>\n<p>I can say this about my relatively high overbid rate: unlike actual contestants, I did not bid conservatively.\u00a0 I didn&#8217;t fear going over, as real players do, because there was no money at stake, nothing to lose.\u00a0 In fact, it was far more rewarding to me when I made a really close bid (within a few hundred dollars) than it was to win with a bid that was off by thousands.\u00a0 It&#8217;s akin to how I play Scrabble &#8212; the fun part is playing killer seven-letter words and the score is secondary.\u00a0 So it makes sense that my overbid rate would be greater than that of typical contestants.<\/p>\n<h2><em>Punch a bunch of hundreds<br \/>\n<\/em><\/h2>\n<p><em>Finally<\/em> (as George Gray likes to say when introducing the big-ticket item), we come to the last pearl of wisdom in this post.\u00a0 In our 100-showcase tournament, Sue rounded her guess to the nearest thousand dollars (as most contestants do) a total of 99 times.\u00a0 I did so only 10 times &#8212; in my other 90 bids, I added an arbitrary number of hundreds.\u00a0 There is a good rationale for this, and it has to do with the\u00a0<em>double-showcase\u00a0<\/em><em>rule &#8212;<\/em> if a contestant&#8217;s bid is within $250 of his or her showcase (without going over), the player wins both showcases.<\/p>\n<p>In our tournament, we did not award ourselves double points for bidding closer than $250, but doing so was an ego-boost nonetheless.\u00a0 As it turned out, I would have won a double-showcase <em>four times\u00a0<\/em>out of the 100 showcases that we bid on.\u00a0 (I overbid by less than $250 another four times.)\u00a0\u00a0 For comparison, last season on the show there were only five double-showcase winners among 380 players.\u00a0 This means I was three times more likely to be a double-winner than were the contestants on the show.<\/p>\n<p><a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-13064 size-medium\" style=\"margin-top: -5px;\" title=\"Final Showcase Digits\" src=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits-300x218.jpg\" alt=\"Final Showcase Digits\" width=\"300\" height=\"218\" srcset=\"https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits-300x218.jpg 300w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits-640x464.jpg 640w, https:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits.jpg 855w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>As I mentioned earlier, this is partly due to my aggressive bidding, but I also found that it is just as important to avoid bids that are rounded to the nearest thousand.\u00a0 The chart at right (<a href=\"http:\/\/chcollins.com\/100Billion\/wp-content\/uploads\/showcasedigits.jpg\" target=\"_blank\" rel=\"noopener\">click to zoom<\/a>) is a breakdown of the final three digits of the showcase prices in our tournament.\u00a0 Note &#8212; there was <em>not one<\/em> showcase whose price ended in 250 or less.\u00a0\u00a0 Coincidence?\u00a0 Not this time!<\/p>\n<p>The producers of the show obviously caught onto the fact that most players round off their guesses to the nearest thousand &#8212; so the easiest way to keep players from winning both showcases is to make sure all showcase prices end in something more than $250.\u00a0 The last time a player won <a href=\"http:\/\/priceisright.wikia.com\/wiki\/Double_Showcase_Winners_Statistics\" target=\"_blank\" rel=\"noopener\">a double-showcase with an even-thousands bid<\/a> was in 2011.\u00a0 Since then, most double-showcase winners made bids that ended in $500.\u00a0 My recommendation is to finish off your guess with $251, until the producers catch onto this trick too.<\/p>\n<h2><em>Hope you liked this, because it&#8217;s the last post we have<br \/>\n<\/em><\/h2>\n<p>Well, it&#8217;s the last post for this year anyway.\u00a0 I hope your last ten minutes spent here were informative and will help you make better showcase bids the next time you are sick and staying home watching daytime television.\u00a0 Credit for <em>TPIR<\/em> game statistics is due to the fan websites <a href=\"http:\/\/tpirstats.com\/\" target=\"_blank\" rel=\"noopener\">The Price is Right Stats<\/a> and <a href=\"http:\/\/priceisright.wikia.com\/wiki\/The_Price_Is_Right_Wiki\" target=\"_blank\" rel=\"noopener\">The Price is Right Wiki<\/a>.\u00a0 Have your pets spayed and neutered and let&#8217;s try to make it through 2017 without going over.<\/p>\n<h5>______________<\/h5>\n<h5 id=\"#priceright1\">[1] Interestingly, the anchoring effect also implies that an experienced player may be at a disadvantage compared to someone coming in cold who is familiar with prices but unaware of previous game results.<\/h5>\n<h5>[2] If the population of players were evenly split between <em>min<\/em>-bidders and <em>mid-<\/em>bidders, there would be a 25% chance that two given showcase contestants are <em>mid-<\/em>bidders, a 50% chance that Player A will overbid, and a 50% chance that Player B will overbid.\u00a0 The product of those probabilities is 6.25%.<\/h5>\n","protected":false},"excerpt":{"rendered":"<p>These days, Sue and I usually have lunch together over an episode of The Price is Right.\u00a0 It is just and proper that we do so &#8212; we are both over sixty, we enjoy Drew Carey, and we like to &hellip; <a href=\"https:\/\/chcollins.com\/100Billion\/2016\/12\/the-price-is-right-showcase-showoff\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39],"tags":[],"class_list":["post-12883","post","type-post","status-publish","format-standard","hentry","category-interests"],"_links":{"self":[{"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/posts\/12883","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/comments?post=12883"}],"version-history":[{"count":274,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/posts\/12883\/revisions"}],"predecessor-version":[{"id":31256,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/posts\/12883\/revisions\/31256"}],"wp:attachment":[{"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/media?parent=12883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/categories?post=12883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/chcollins.com\/100Billion\/wp-json\/wp\/v2\/tags?post=12883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}