Showing posts with label iPhone. Show all posts
Showing posts with label iPhone. Show all posts

08 September 2007

"exponential" decay of iPhone prices?

In yesterday's New York Times: IPhone Owners Crying Foul Over Price Cut, by Katie Hafner and Brad Stone.

As you may know, the iPhone originally cost $599 for the 8-gigabyte model and $499 for the 4-gigabyte model. The 4GB model has been discontinued, and the 8GB model has been cut to $399.

People who bought the iPhone when it came out are complaining. Why? Because they are silly. Prices on consumer electronics almost always go down. Anyone who's bought two computers in their lifetime knows this, because the second one was almost certainly cheaper and had more computing power. (I hesitate to say "faster" because newer software uses computing resources less efficiently than older software.)

The article comments on this:
The price of consumer electronics is always going down thanks to intense competition and the steady decrease of the cost of electronic parts. The pricing is largely determined by Moore’s Law, the observation made by Intel’s co-founder Gordon Moore that the number of transistors on a silicon chip doubles roughly every 18 months. Because this rate of change is described by an exponential curve, it dictates not only that prices fall, but also that they fall at an increasing rate.


No.

Okay, I buy Moore's Law, although perhaps not with the "18 months" coefficient there; depending on who you ask you'll hear anything from 12 to 24 months. And does Moore's law apply to flash memory, which is clearly one of the larger costs involved in the iPhone? Still, let's give them Moore's law. That doesn't mean prices fall at an increasing rate. Let's say that everything involved in the iPhone is subject to Moore's law, so the price decays exponentially; then the price falls at a decreasing rate. For example, let's say that iPhone prices fall by one-third per quarter (as they have so far, although I don't see that holding up) -- then they fall from $600 to $400 in the first three months, then $400 to $267 in the next three, $267 to $178 in the next three, and so on. Each of these decreases is smaller than the one before. If you take the logarithm of the prices and then differentiate -- which has the effect of measuring the rate of price change in units of the current price -- you get a constant. It's not accelerating. More generally, the price of the object is given by P(t) = P0e-kt for some constants P and k; P'(t) is a decreasing function, and d/dt log P(t) is the constant -k.

But some parts of the iPhone are not subject to Moore's Law. The advertising budget, for instance -- there are a lot of ads. I doubt the case that it comes in is made up of transistors, either. The pay of the people in [third-world country] who put it together probably isn't decreasing.

So a better model for the price of the iPhone -- or any such object -- is probably a constant plus a decaying exponential. (The "constant" is measured in real, i. e. inflation-adjusted dollars; if you wanted to do this in nominal dollars it would be a rising exponential.) So we have

P(t) = P1 + P0e-kt

and P'(t) is still decreasing. In this case, even d/dt log P(t) is decreasing:

{d \over dt} \log P(t) = {{-P_0 k e^{-kt}} \over P_1 + P_0 e^{-kt}}

{d \over dt} \log P(t) = {{-P_0 k e^{-kt}} \over P_1 + P_0 e^{-kt}}
which isn't obviously decreasing; we could differentiate again, but it's easier to rewrite it as

{d \over dt} \log P(t) = {{-P_0 k} \over P_1 e^{kt} + P_0}

which has a constant numerator and a clearly increasing denominator; thus the rate of price decrease is actually slowing.

At least they used the word "exponential" correctly; usually the media doesn't even do that.

15 July 2007

it's just a phone!

One-in-three Americans want iPhone -- or so Macworld claims. (Yeah, they're not biased at all.)

It's very thinly veiled advertising; in two clicks from that article I found the original press release from the research company. The "article" says:

Lightspeed Research surveyed 39,000 people on its US online panel in the days following the launch of the device on 29 June - and the research findings are staggering.

I'm not sure if I trust this "online panel". For one thing, as a friend of mine pointed out, people who are online are more likely to want an iPhone. Second, the "article" goes on to say:

Thirty-two per cent of those surveyed who do not currently own an iPhone stated that they do intend to purchase one, with 8 per cent planning to purchase in the next three months and 22 per cent planning to purchase "some time in the future", the researchers said.

First of all, 8 plus 22 isn't 32, and even with rounding error that doesn't work out. More importantly, though, there are plenty of things that I've said I was going to buy in the future that I never ended up buying; if I put off buying something for long enough then I realize that I don't want it after all.

My friends seem like the sort of people that would want iPhones, and I think that not even one-third of them would want an iPhone -- although now I'll ask around.

Furthermore, you don't need to ask 39,000 people to get these sorts of results. But it sounds more impressive if you do. Most polls for, say, political campaigns have a sample size of about 1,000 and a 3% margin of error. With a well-chosen sample of 39,000 you should get a margin of error of about 0.5% (the margin of error scales as the inverse square root of the sample size), but I doubt this sample is well-chosen. I suspect that Lightspeed Research (the polling company) wasted their time asking this many people, because their sample is no good. They claim it is at their FAQ, and I believe their claim that the demographics of the panel are the same as the general population. However, they say that "A panel is comprised of people who have opted-in to share their views on products and services and recruited solely for market research purposes." The sort of people who are likely to be in such a panel are people who spend too much time online -- exactly the iPhone's target market!

The moral of this story: just because you asked a lot of people doesn't make you right.

27 June 2007

iPhone bets part 2, and aggregating customer service information

Yesterday I posted betting on the iPhone, about an online bookmaker that was taking odds on various circumstances surrounding the release of the iPhone.
Wired has "Ready for an IPhone? Tips to End Your Existing Cell Contract", which is what it sounds like. Their tips include "odds of success", such as:

Pawn it off
Don’t want your contract anymore? Find someone who does. Websites like Celltradeusa.com specialize in connecting thousands of people together for the express purpose of transferring the financial responsibilities of cell contracts from one person to another. As long as the recipient meets the minimum qualifications (credit check, etc.) you can transfer the plan over without getting hit with the early termination fee.
Odds of success: 2-to-1

but I think they just made up these odds. It would actually be interesting to know these sorts of things about various companies' customer service. Some of the tips they offer are more of a gamble -- for example, abuse the system by using up lots of minutes while you're roaming, if roaming is free for you. They offer 20-to-1 odds on that. Before I tried that, I might like to know "1000 people say they've tried this; it worked for 50 of them". It would be interesting to see a web site that collected such information -- there are many problems that a lot of people have and having data on how they solved them could be useful.

However, there's always the issue that I'll call the "asymmetry" of word of mouth. If you expect a plan like that not to work, you'll tell lots of people if it does work and not that many people if it doesn't work. It's kind of like how you hear about the actors that made it (because they're on your TV all the time) but you don't hear about the ones that didn't make it (although you do see them if you go to a restaurant, because they're waiting tables to make ends meet). So any information on such a web site would have to be taken with a shaker of salt.

26 June 2007

betting on the iPhone

You can bet on everything these days!

BetUS.com -- which appears to be mostly a sports betting site -- is giving odds on various iPhone-related events. (I came to this via Marginal Revolution.)

I can't get inside, but livescience.com (the first link above) claims that BetUS.com is offering the following odds:

Consumers are reported camping out waiting for an iPhone—3/1

At first glance, I'd take this bet. People camp out now for product launches, it's What They Do in this consumer culture. And the sort of people who do that are, to some extent, Apple's target market. However, the iPhone is being released at 6pm local time on Friday. And the iPhone is expensive -- $500 just for the physical device, and then depending on who you believe somewhere around $80 for the service -- so you've got to think that maybe the people buying them will have jobs. (I'm sure there's a Steve Jobs joke in here somewhere, but I can't find it.)

Apple’s stock jumps at least 10% in value in regards to the price on 6/30/07—1/2

Technically, this can't happen. Why? Because June 30 is a Saturday. Stocks don't trade on Saturdays. But assuming they mean the next trading day after the release -- that is, Monday, July 2nd -- this would be an interesting disproof of the efficient market hypothesis. This hypothesis claims that the price of a traded asset -- such as Apple stock -- reflects all the knowledge that's available about the company.

On the other hand, Apple has been trading around 125 lately; it was at 90 as recently as mid-April. Either a lot of information about Apple has suddenly come out, or investors are just crazy. Or both.

Consumers pay at least three times the original price ($1,500) on ebay - 2/1

Hard to call. Did consumers learn from when people tried to flip PS3s and Xboxes last winter? Sure, some people pulled it off, but a lot got stuck with them.

iPhone spontaneously combusts—150/1

I hope this is a joke.

Judging from the little information I have, though, and the fact that the odds are simple integer ratios, I'm guessing that these odds don't move, but are set by BetUS.com. I was expecting something like tradesports.com or intrade.com, in which people can buy and sell "contracts" on various events -- these are rapidly emerging as an interesting means of predicting the probability of various "complicated" events, where one can't come up with a simple model to make a decent guess at the probability of an event. We expect that, if people are willing to pay $25 for a "contract" that pays out $100 if people are reported camping out waiting for an iPhone, then if we could repeat this experiment over and over again, one time out of four there would be people camping out. (The question of what this even means is kind of tricky, though, because there aren't going to be three more iPhones. Tonight I prefer the interpretation of complicated probabilities like these in terms of wagers, but that could always change.)

edit, 5:08 pm: People are already camping out. Reuters reports that as of this morning, there were four people in line outside the Apple Store on 5th Avenue in Manhattan.