(the) Inevitable Corp.
The Giffen good is a strange beast from economic theory. For most goods, demand decreases as price increases. A Giffen good defies this normal market behavior — the demand for it increases even as its price increases.
Giffen goods have a very interesting history. They were postulated originally by Alfred Marshall in his 1895 book The Principles of Economics. The classic example is staple foods such as rice, wheat, and potatoes. As their price goes up, poor people on a tight budget actually consume more of them, because they are forced to cut back on luxuries such as meat, but still need the same number of calories to survive. Until recently, Giffen goods remained a theoretical beast, with no real documented examples — until 2007, when two Harvard economists demonstrated that rice and noodles behave as Giffen goods in certain poor parts of China.
Google’s recent results raise the possibility that search advertising might be a Giffen good. Here’s a simple model. Company X spends marketing dollars on two channels: search advertising and brand advertising (on the web or on TV and magazines). Search advertising drives customers directly to their site, resulting in immediate sales. Brand advertising drives organic traffic, albeit in a more unmeasurable way.
Is Search Advertising a Giffen Good?
Google Trends Using OSDir News
Ok, this is seriously cool. Google Trends incorporates OSDir news as benchmarks. I knew google news uses OSDir as a source, but this seems much deeper in the Google Brain.
Inevitable Growth
Inevitable will be growing in personnel to two minds in a week and a bit.
I’ll be adjusting to work-life in a more collaborative way. Tools. Thinking collaborative work tools….. Which actually work and which exist & thrive by default?
I’ve started setting up basecamp & projectlocker (subversion & trac[issue tracking]), but one thing that is essential is face to face time. My previously insular tools were a small wiki, text files & backpack. Oh, and a moleskin.
Do you take into account the hidden cost when making decisions? It’s one of those areas where I used to fail miserably. I’ve learned to take it into account over the last couple years, but only recently was able to formulate the concept properly.
The idea goes something like this: Behind most obvious decisions is a non-obvious hidden cost, which can often outweigh the benefit of the “obvious” decision.
…if an engineer had designed the drive-through, you would probably have to pay before they started making your food. Impossible to game, flaw destroyed. The problem is, what’s the cost of the extra time involved in waiting until you receive payment before you start making the food? And what’s the cost per meal wasted times the number of times that the customer is not able to pay? There’s a reason they start making your food right away: It saves a ton of time, and people are able to pay most of the time.
Seems obvious, right? Then why do we still insist on requiring two password fields, one for verification? Or two email fields? Sure, a banking application might require this… but your average web app? You could look at it this way: What’s the chance that someone will mistype both their email AND password, weighed against the drop-off in signups because of the extra form fields. You will drop a significant number of sign-ups with the added fields, but there will be a very small percentage of people who get both their email and password wrong.
David Rusenko
ROI vs ROS
Screw ROI. I wonder what the best return on shitty computer equipment is. ROS? Return On Shit.
The office is atwitter over buying new macbook pros. I’m fighting the urge.
Ignoring Noise: Alexa vs Google Analytics
May I suggest that while one should look at many sources of data to determine your progress when it comes to Alexa vs Google Analytics traffic stats Alexa is completely unreliable.
Until this morning I’ve wanted to put some stock in it thinking that even if inaccurate at least it can be used to inaccurately compare different sites (your competition?). This, frankly, is wishful thinking at best & I’m abandoning the tool entirely. It is Noise.
I’ve been operating under the premise that my traffic has been falling steadily over the last 4-5-6 months. Alexa’s base traffic graph is six months. G. Analytics is one month. Should you be the type to Jump to Conclusions you could be lead astray. Hey, you’re busy building your biz, right?!
Long story short. Ignore Alexa numbers. G. Analytics tells me that my traffic has been steadily the same over the last six months despite Alexa’s best, and ultimately wrong, guessing.
Domain Theft via Hosted Mail
Update:
It turns out my wife, with a fooworks.com address, triggered the admin password email. LOL
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Here’s a scary scenario I just avoided, but may still be subjected to. The “flaw”, NOW (original flaw fixed) however, is said “Hacker” asking google/gmail for an admin password reset which you’d have to approve. Not technically a “hack”, but it opens the door to human error.
“A “cracker”* used a deficiency in Gmail to steal a domain name this month. The theft was of DavidAirey.com, a popular graphic designer’s personal site that attracts a couple thousand unique visitors a day.
So how did it happen, and what can you do to protect yourself? Furthermore, how could a popular domainer site lead to even more lost domains?
First, here’s how it happened in a nutshell:
1. DavidAirey.com was registered through a webhost, ICDSoft.
2. The cracker contacted the webhost through a support ticket asking to unlock the domain and send the EPP transfer code.
3. The cracker compromised David Airey’s Gmail account to forward any domain transfer requests to his own email account.
4. The cracker transfered the domain to a GoDaddy account without Airey’s knowledge.”
