The Price is Blog, Right?

Entries from May 2009

Cheaters Prosper

May 30, 2009 · 1 Comment

Yesterday’s post led me to another TPIR YouTube video of a contestant cheating… rare, I know, but apparently it happens.  And she gets away with it!  I guess if you can find a new and clever way to cheat, and it makes Bob (or now Drew) laugh enough, you’re on your way to winning.

Bob’s sarcasm at the end of the game is brilliant.  “You know, I’m pretty sure she’s won this!” and “Boy this is exciting now, isn’t it?”  The best part by far: “You know you ruined my show?  You’ve ruined the game.  This would be exciting!”

And yet, that segment would’ve been lost among the thousands of other old clips had she not “ruined” his game.  I guess tragedy plus time really does equal comedy.

Categories: Uncategorized

Now Get Off the Stage!

May 29, 2009 · 3 Comments

Another slow news day today, so here’s another one of my all-time favorite TPIR videos.  It’s one of the more unremarkable games, Flip Flop, but I just watched it for the 100th time and can’t stop laughing.  Questions to ponder:

Did the contestant know what he was doing and just play dumb?  If so, brilliant.

At what point does Bob realize what’s going on?  His “No!” is priceless.

Is the audience booing the conestant, or booing that fact that Bob says he’s going home?

Giving the contestant the prize: good decision or bad decision?

Certainly one of TPIR’s most controversial moments.  Discuss.

Categories: Uncategorized

Off-Days

May 27, 2009 · 1 Comment

I’m beginning to realize that live-tweeting is taking a lot out of me.  Many of my unique insights go into tweets.  And so, with the exception of some recent statistics posts, the blog has been lacking.  That’s why I’ve decided, on off-days when I have nothing interesting to say, I might as well mine the vast wealth of information on TPIR that’s out there on the interweb.

Today, I’ll first draw your attention to one of my favorite TPIR videos, one that I happened to tweet about today.  I forgot how great this video is.  It reminded me how hard 10 Chances really is.  At the same time, this is by far one of the worst all time contestants.  Bob’s reaction at the end is fantastic.  I couldn’t stop laughing when I pulled it up today.  “I cannot believe that just happened.”  Brilliant.  It’s no secret that I love Drew on the show, but this video reminds us why Bob holds a special place in all our hearts.

Another little tidpid I’ll show you today is this, an article about a middle school teacher who’s using TPIR to teach probability.  Perhaps he should refer his students to the statistical analyses on this blog?

The best part, by far, is the following quote: “They don’t understand that they are learning because they are having so much fun.”  Really?  The don’t understand that they’re learning?  They’re having “so much” fun?  Hey, I love TPIR, too, and I even have a blog about it, but I haven’t lost my grip on reality.  This is priceless.

Oh, and students at that school: I am currently seeking unpaid interns to run some stats.  Send resumes.

Categories: Uncategorized

The 2nd Digit

May 25, 2009 · 1 Comment

2nd digit overallAlright, as promised, here’s an analysis of digit #2.  And who doesn’t love statistics?!  Alright, bad question.  But this’ll help if you ever get on the show, and until then, it’ll make you look like a huge geek when you spout off stats while watching TPIR on TV with your friends.

As you can see, to the left, a very basic analysis of the 2nd digit isn’t very helpful.  It’s fairly evenly distributed, with a slight emphasis on the number 1, but ultimately meaningless because the 2nd digit is highly dependent on the first.

However, given that 100% of the last 200 cars have started with either a 1 or a 2, let’s look2nd digit if 1 at the 2nd digit DEPENDENT on the 1st.  The table to the right shows the 2nd digit distribution IF the first digit is a 1.  As you can see, NONE of the last 200 cars have been below $15,000, and almost all of them have been above $16,000.  9 and 8 are more likely to appear in the 2nd digit, but this is, obviously, highly dependent on the make and model of the car being given away.  Nothing counter-intuitive here, but good to know.

IMPORTANT NOTE:  The ONLY 2 cars, of the past 200, priced below $16,000 were BOTH the Honda Fit, that tiny little car-looking thing, priced at $15,651 and $15,754.  In addition, the vast majority of cars in the $16K range were manufactured by Ford.  Go figure.

When the first digit is 2, things get slightly more interesting, but not mind-boggling.  It would be hard for TPIR to boggle the mind.  It succeeds occassionally.  Mostly during the Clock Game.  (If he said UNDER $1,000, why are you bidding eleven-hundred????)

2nd digit if 2Anyway, as you can see in the chart to the left, the 2nd digit is relatively evenly distributed on somewhat of a curve, with the number 1 at the peak.  So, if the first digit is 2, there’s a 1 in 4 chance that the second digit is 1, and about a 1 in 5 chance that the second digit is 2.  The rest is pretty intuitive.  Not mind boggling.

It is semi-interesting to note (these cars never get more than SEMI-interesting, do they?) that 6 and 7 only appear 1.6% of the time each.  Out of 200 cars, this translates to 2 $26K cars (a Volkswagen GTI and a Honda Civic Hybrid) and 2 $27K cars (a Volkswagen Beetle Convertible and a Chevy Malibu).  Interesting here is the fact that this set of cars contains the ONLY Volkswagens given away in the last 200 cars, so if you’re on the show, and you see a Volkswagen, chances are it’s above $26K.  Not sure what to make of the Honda Civic Hybrid and the Chevy Malibu.  Anomalies, I guess.

That’s all for now.  Check back for live-tweets starting again tomorrow!

Categories: Cars · Statistics

The 1st Digit

May 22, 2009 · 1 Comment

This’ll be a short post.  There’s not much to discuss, and the first digit of a car is often given in many pricing games (Lucky 7, Pathfinder, Any Number, etc.).  When it’s not, it’s often obvious (choosing between a 1 or a 3, for example) or irrelevant (every option begins with the same first digit).

1st digitI still found it at least semi-interesting to note that, these days, 61.5% of cars are over $20,000, while only 38.5% begin with a 1.  This probably doesn’t help much in terms of strategy, but I found it interesting.

This sample, as stated, only includes the most recent 200 cars given away on TPIR.  So, while 100% of them began with a 1 or a 2, that doesn’t mean a car CAN’T begin with a 3 or higher.  It HAS happened, rarely, and often on a prime-time spectacular.  But, if ever a contestant is faced with the choice of a 1 v. 3, or 2 v. 3, my recommendation: unless it’s totally obvious that it’s a very expensive car, don’t go with the 3.  This may help in games like Cover Up and One Away, though it’s pretty intuitive.

My next post will be about the 2nd digit, which, I will show, is highly dependent upon the first digit (obviously).  I’ll show you the distribution, but then we’ll also look at how the first digit can predict the second.  After that, let’s take a break from these damn statistics and talk about something fun.

Categories: Cars · Statistics

The 5th Digit

May 18, 2009 · 1 Comment

Let’s jump right in, since I already previewed this long-awaited statistics analysis.  Reminder: I will make the entire dataset public soon.

5th digitI’d like to begin with the 5th digit, because it is often the most talked about, and even though it may seem like the hardest to predict, it’s actually not.  I was recently arguing with a co-worker about this digit: I thought it’s a good bet to go with 5 or 0, but she thought it’s always some random number, better to guess something like 2 or 7.  And my quest to prove her wrong led to countless painstaking hours inputting the prices of 200 cars into a database.

But it was worth it.  Cause I was right.

As you can see from this chart, the most common number for the 5th digit is 5, occuring 27% of the time.  A random standard distribution would predict each number appears 10% of the time, so anything above 10% is above average.  27%, in my opinion, is quite ridiculous.  More than 1 in 4 cars end in 5.  Eat it, coworker.

5 is followed by 0, occuring 20.5% of the time, or about twice as much as would be expected by chance.  Together, this means that 47.5% of cars on TPIR, almost HALF, end in 0 or 5.  You might say, though, that more than half of the cars (52.5%) DON’T end in a 5 or 0, so you should always guess something else, as my coworker said when I showed her these results, but if you said that, you do not understand how statistics work.  Based on this analysis, it is ALWAYS better to guess a 5 or 0 as the last digit (unless, in future analyses, we find that certain makes or models trend differently, in which case I will revise this recommendation when playing for said make or model).

The next bit of data surprised me.  Many prizes on TPIR end in 9, and I would’ve guessed that it would be the next most probable 5th digit.  I was surprised, and intrigued, to learn that 9 only appears in the 5th spot 7.5% of the time (the 5th most common 5th digit), while 4 appears in the 5th spot a whopping 16.5% of the time, making it the 3rd most common number in that spot behind 0 and 5.  Too many numbers in one sentence?  Let me boil it down: If 5 and 0 aren’t options, and in certain games, even if they are, 4 is a great guess.  It is WAY overrepresented in the last digit of TPIR cars.  Watch the show, and I bet you’ll be amazed by how often it pops up (and how you never noticed it before).  I have highlighted this data point yellow in the chart, since it was the most surprising to me.

The numbers 2, 6, 7, and 9 each appear between 7% and 9% of the time as the final digit, and though I have not yet run significance tests, I am fairly confident that this 7-9 range is due to random variation.  Thus, these 4 numbers have a below average chance of occuring, but are still decent guesses after 5, 0, and 4.

1, 3, and 8, on the other hand, turned out to be surprisingly low.  3 and 8 are each at 1.5%, meaning that out of 200 cars, each of those numbers only appeared 3 times as the 5th digit.  1 is just slightly higher at 2.5%; still way below average.  Again, I have not run statistical analyses to determine if these results are significant, but my intuition is telling me that these three numbers appear significantly less than should be predicted by chance.  I guess I’ll get around to running these tests if you all don’t want to take my word for it.

Or maybe someone out there could run the tests for me?

Nah, I’ll do it.  Don’t worry.  And stay tuned for more car stats in the future.  We’ll take a look at each digit in the same way, and then get into more complex analyses as new issues arrise.

Categories: Cars · Statistics · Strategy

Statistics Preview

May 16, 2009 · 2 Comments

It’s been a while since I teased this, and I know you’ve all been waiting on the edge of your seats… and you’ll have to wait one more day. But I wanted to explain my TPIR car statistics project briefly so that tomorrow, when I post the first part of my results, we can jump right into the analysis.

cars snapshot
As you can see, above, I’ve created a database of the prices of the last 200 cars given away during pricing games on The Price is Right, broken down by digit. I’ve also noted the make, model, and date of the show, and I’ll make this spreadsheet public, when it’s done, to allow you all to manipulate the data and run your own tests.

Tomorrow, I’ll start with something simple: the 5th digit. We’ll take a look at which numbers are more or less likely to appear at the end of the price of a car and try to develop strategies based on the results. In the future, we’ll also look at every other digit individually, but then we’ll get into some more complex analyses: Can one digit predict the next digit? How does the price of the same model or make compare from day to day? There are countless questions we’ll be able to answer with this database, but I can only do so much; once the data is made public, the power is yours.

I can only imagine what mysteries we’ll uncover.

Categories: Cars · Statistics

More commercials during an hour-long commercial?

May 13, 2009 · Leave a Comment

It’s no use denying that TPIR is one big, hour-long commercial.  It’s a brilliant business model.  And it combines my two favorite things: television entertainment and being told what to buy.  It’s advertainment!

But yesterday and today, I (and PriceIsBlog’s twitter followers) have noticed a dramatic change in TPIR’s format (and I mean dramatic in both senses: huge, and drama-inducing).  That change?  NO COMMERCIAL BREAK AFTER THE FIRST PRICING GAME.  I know.  Shocking!  But if you haven’t been watching, it’s true.  The go right from the win or loss on game #1 into the next contestant to “come on down,” followed immediately by contestant’s row and ANOTHER pricing game.  It’s nuts!

But, I kinda liked it.  More action-pacled.  Keeps us interested at the beginning.  Speeds the game along a bit.  Or so I thought.

Apparently, as I suggested in a recent tweet, getting rid of the first commercial break actually leads to MORE commercial time overall.  Most episodes range from 38 minutes, 20 seconds, to 38 minutes, 50 seconds.  However, Monday and Tuesday’s shows have run 37 minutes, 46 seconds and 37 minutes, 23 seconds, respectively.  That’s an entire minute cut from the show!

TPIR timecodes

Though it seems counter-intuitive that eliminating one of the commercial breaks could actually lead to more total commercial time, it’s true.  And this also means that each individual commercial break is longer.  Though I like what this means for the first ten minutes of the show, I’m not sure if it’s worth the consequences.  But if this is what it takes to keep viewers tuned in, then go for it, TPIR.  One more minute of commercials isn’t that bad during a show that’s an hour-long advertisement, anyway.

As long as the extra minute is devoted to the Hoveround.

Categories: Uncategorized

New Domain!

May 12, 2009 · Leave a Comment

Hello friends and fans!  Exciting news: this blog is being taken the next level.  As an investment in the PriceIsBlog franchise, and as a sign of my confidence in its prosperous future, I have obtained a new domain name: www.priceisblog.com.  Or even just priceisblog.com (apparently you don’t even need the www these days!  who knew?  technology is moving so fast!).

That’s right, no more .wordpress.com.  But don’t worry, the blog is still hosted by wordpress, so all those things that are invisible to you but important for me will be the same, meaning the essence of the blog will be, as well.

So enjoy.  Tell your friends.  And link to this blog so it actually shows up in a google search.  Please.  It’s embarrassing.

Categories: Uncategorized

Cover Up Cover Up

May 11, 2009 · Leave a Comment

Cover UpRecently, “A huge fan” commented on my strategy guide to Cover Up, and he and I continued discussing whether or not there might be a better strategy out there. I assume he means he’s “a huge fan” of TPIR, not of the blog, since it should already be assumed that he’s a huge fan of the blog.  Being a huge fan of TPIR is not necessarily a given.  I think it’s safe to assume that there are countless readers of this blog who may not be fans of TPIR at all.  Or they could just be medium-sized fans.

For convenience, I’ll refer to “A huge fan” as “huge fan” from now on.  Not: this type of shorthand will be used frequently in the blog.  To save time.  Wouldn’t want to waste space on unnecessary articles, or pointless explanations.

Huge fan had some pretty interesting ideas, and after he sent them to me, he actually decided that he made some unfair assumptions while doing the calculations, and thus it is not entirely accurate.  But I feel it’s thought-provoking and insightful, even if not 100% useful, like my theory.  It is extremely long, so please feel free to not read it.  The basic idea is that my strategy works.  Also that if you know more than one number for sure, you should spread them out across multiple rounds and not guess them all at once (obviously).  And that it’s almost impossible to run the statistics with every possible variation through to the end (but if anyone out that can do it, you’re welcome to re-guest blog and replace huge fan as the cover up semi-expert).  So here is an abridged version of huge fan’s idea:

For the sake of this post, let’s assume that you are 100% sure of the first digit, and have no clue about the other 4.  Obviously this is a hypothetical situation, but it probably isn’t that far away from reality (because the first digit only has 2 choices, and as PriceIsBlog says, it’s an extremely guessable digit. Regardless, this will help illustrate general strategy).  So the question becomes, when should you play that digit?  Let’s look at 2 possibilities, playing it first (the PriceIsBlog way), or playing it second (let’s call this the HugeFan way).

To understand which is better, we need to know our probability of guessing at least one digit correctly at each round.  Just for kicks, let’s take the entire game at the beginning, assuming we know nothing (not even the first digit).  What’s the probability of guessing at least 1 correct digit?  Well we know that the odds of each digit are 1/2, 1/3, 1/4, 1/5, 1/6 respectively.  So the trick with figuring out the probability of AT LEAST one, is to first figure out the probability of getting them all wrong, which is: (1/2)(2/3)(3/4)(4/5)(5/6) = 16.7%.  Notice that to calculate that, we use the probability of getting it wrong, so for example, for the last digit, it’s 5/6 of the time you’re wrong, not 1/6.  Okay, so the probability of getting at least one right is the inverse of that: 100% – 16.7% = 83.3%.  Not too bad?

Alright, now that we know how to do the math, back to our scenario.  So in PriceIsBlog’s situation, you guess the first digit right at the beginning.  For the sake of easy calculations, let’s say he nailed his strategy, and got every other digit wrong.  There are 4 numbers left, but their probability has changed.  The second digit originally had a 1/3 chance of getting it right, but he got a wrong answer, so in the second round, it’s now 1/2.  The third digit had a 1/4 probability, so now it moves to 1/3.  Same goes for the remaining digits.  So calculating our odds of getting AT LEAST one digit in the second round is now 1 – (1/2)(2/3)(3/4)(4/5) = 80%.  Finally, let’s say he guesses again (for the sake of calculation, gets the easiest number, but none of the others).  So he’s left with digits 3,4,5.  His probability at that point would then be (remembering to adjust the probs on each digit): 1-(1/2)(2/3)(3/4)=75%.  Alright, so there we have it.  To summarize, on the first guess, PriceIsBlog has 100% prob (he knows the answer), on the second, 80% and on the third 75%.

Now, let’s do the HugeFan strategy, saving that first digit.  The probability on the first round (on every number but the first digit) is: 1-(2/3)(3/4)(4/5)(5/6) = 67%.  Let’s assume once again that we guess the easiest number but none of the others.  On the second round, it’s 100% (we know that first digit), and finally, on the third round, we’re left with digits 3,4,5.  The probabilities of hitting those on the third round are 1/2, 1/3, 1/4, so the odds of getting at least one right are: 1-(1/2)(2/3)(3/4) = 75%.

PriceIsBlog: Rd 1: 100%, Rd 2: 80% Rd 3: 75%

HugeFan: Rd1: 67% Rd. 2: 100% Rd 3: 75%

Since making it part way doesn’t even get you a hubcap, clearly PriceIsBlog’s strategy is a better one.  So if you know the first digit, play it first.

Let’s step back a minute, to absorb what’s going on.  Each round that you are alive, your probability of guessing at least one digit right gets worse.  This is unavoidable, no matter what you guess (right or wrong).  However, these diminishing odds are partially offset by clearing out wrong answers (as PriceIsBlog mentioned), which raises some individual digits probabilities.  So, to utilize this information, you should spread out the digits that you think you know for sure, and don’t play them at once.  Let’s say you were 99% sure about digits 1 and 5.  Your odds only improve a tiny bit by guessing them at once, so you should clearly do it one at a time, and clear out some other wrong digits in the process.  Finally, by taking what we learned in the original hypothetical, make sure to play your first known digit at the start.

**It should be noted that these calculations had a lot of assumptions, and are quite possibly wrong.  Someone with a stronger probability background (like an actuary) feel free to edit/respond to this post.

Categories: Cars · Fan Mail · Pricing Game · Statistics · Strategy
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