Sure beats my “Man in Mirror” knock off I did in 7th grade.
Kick ass.
Posted in information theory, philosophy, product development, software, traffic, tagged beta, principle, release, software release on October 31, 2008| Leave a Comment »
I present to you a principle of mine relevant to releasing websites and web software.
You Don’t Really Know Until It’s Live Principle
Basic Idea:
No one Looks At Anything Until it’s Publicly Released. Then it’s a frenzy of real feedback.
The implications:
It’s been true for the last 78 pieces of software I’ve worked on…
Why does this principle hold?
a) the consequences (the stakes!) are very high when a piece of software is LIVE. Thus it is very reinforcing for people to give feedback and really dig in. (oh shit, it’s live!)
b) Technology obstacles and lots of caveats usually hold in prototypes, mocks and dev sites (oh, ignore that link, we didn’t get to that yet)
c) Websites are very complicated, especially ones where you have lots of mixed media, complete design overall, a new backend, aggregation, and so forth. Mocks can never showcase the full experience and experiential bugs are impossible to uncover unless you are in the flow.
So spare yourself the agony of deciding when to release or trying to be perfect on public release. Just release. You’ll get on with the fixing and improvement cycle sooner.
Posted in analysis of behavior, information theory, new kind of science, philosophy, research, speculation, tagged epistemology, model, scientific explanation on October 30, 2008| Leave a Comment »
This post is my interpretation. Other thinkers, philosophers and researchers have other (more technical) approaches regarding this subject.
Statement: There are no models that completely explain the “how or why” sufficiently complex phenomenon.
Clarifications:
Explain – Accurately represents the causes, context, behavior and consequences of a phenomenon and presents such representation in a usable form (we can apply this knowledge outside of just explaining)
Completely – 100% (or very nearly 100%) represent all cases of the phenomenon. In particular, there are no “exceptions” nor is there simply a “rule of thumb.”
“How and Why” – The actual behavior, make up, and structure of the phenomenon.
In other words:
All our scientific efforts produce models, not explanations. Models help us improve our methods and provide insight into phenomenon, but they are not the “thing” and they do not explain the “thing”. Our explanations based on models and/or the incomplete information they are always based on (computational irreducibility, uncertainty) are forever not complete and always capable of revision (inaccurate).
Math is the ultimate model language. It is a way to describe relationships when you strip away the gnarly details of the real world. It sometimes has beautiful results but never produces an explanation of the real world.
Computer science is inbetween the real world and math. A great way to simulate things and build new computational models, but because it’s not made of the stuff we’re often simulate it can’t possibly be completely accurate.
Biology and other specialized disciplines tend to rely more observations than abstract models. The result is a nearly infinite record of exception cases making conceptual models that span multiple phenomenon very difficult (well, that’s because you mostly can’t do it.)
Though I’m giving a very truncated account of everything hopefully the point is clear. Explanations are always our judgment, our subjective synthesis of the inaccurate data we have. This does not imply we don’t know anything. Nor does it imply we don’t have explanations. For simple, or relatively simple, phenomenon we have accurate explanations and good working knowledge.
Specifically, as related to this blog, economics, behaviorism, and social models are all useful models. None of the “laws” presented in these disciplines are fullproof. Rational Choice theory, supply and demand, matching laws…. these are good tools, but not full explanations of the how and way of behavior, media and social activity.
Proof: Is left as an exercise to the reader.
Proof Part Duex: This is an intractable problem. There’s no way to formally prove these statements. They are hunches. I do believe the proof is somehow along these lines: to determine if an explanation is complete and accurate I’d have to be able to reduce a phenomenon down somehow, which is impossible for sufficiently complex phenomenon. (think along the lines of the halting problem. i can’t determine if a program is going to halt any more quickly than running the program and seeing if it halts….)
For a more formal treatment of scientific explanation head here.
There are many more resources and I’ll post them as I surface them.
Posted in economics, media, politics, tagged online advertising, political blogs, political media plans, politics on October 29, 2008| 1 Comment »
No matter how you slice this election, old school political media plans just got schooled.
The Obama campaign altered national campaigning in a major way during this election. Forget whether he wins or loses or whether you are this political part or that one, the fact is fundraising and political marketing is forever different.
Some key insights:
I can’t wait to see the final tally on campaign spending and the break out by media type. Also, the voter turn out and correlation to media should be fairly interesting.
Again, stand where you want on the issues, the media plans and marketing campaigns involved are bigger than the biggest brands on earth.
I see a lot of RFPs, IOs and agency plans in my line of work. None of them come close to the brand integration of the campaigns, and Obama’s in particular. None of these RFPs have near the coverage or depth or scope of these campaigns.
The coordination required to pull of these campaigns is beyond what you can imagine, even if you work in advertising. And to be raising the budget as you need it makes it more impressive.. or maybe that’s what makes it possible at all.
Welcome to the digital, on demand age. It’s here.
Posted in musings, philosophy, religion, time, tagged in the moment, kids, mouths of babes, predictability, zen on October 29, 2008| Leave a Comment »
I asked my five year old daughter this on the way to school yesterday, “What do you think you’ll do today at school?”
She skipped along and replied, “I don’t know. I’m not there yet doing something.”
Talk about existing in the now.
Posted in analysis of behavior, media, politics, tagged category errors, common sense, consequences, conterfactuals, life, logic, Madden, NFL, sports, venacular on October 27, 2008| Leave a Comment »
Whenever an excuse or a wimpy explanation was offered to my Dad for anything adequate or less than adequate he would mumble in an aside… “If-shit-rabbit.” My brother and I went years well into adulthood before coming to know he was expressing exasperation with his unique short-hand version of a counterfactual:
“If the dog had not stopped to take a shit, he would have caught the rabbit!”
But he did stop… or X, Y, or Z and he didn’t catch the rabbit… or make sales numbers, the team, the appointment, etc.
Cons:
Counterfactuals are a form of prediction without parameters because the conditional statement is illusionary. There is no way to prove or disprove the counterfactual so the provider takes on a psychic persona of knowing what didn’t happen.
We see it all the time… John Madden says knowingly, “That missed extra point will come back to haunt the Packers in the forth quarter.” The fact that between the missed point and the last two minutes of the forth quarter there were 51 offensive plays, 2 interceptions, 2 bad calls, two fumbles and one player (no one knows which one) has a concussion doesn’t come into Madden’s NFL game perspective. He like so many other fans says what he says because they collectively have seen a game lost by one point in this way. Making the declarative if erroneous counterfactual statement pointing to one and only one play is fun but it is also preposterous.
Sometimes they involve category errors which is logical mumbo jumbo for a change in assumptions similar to metaphors and similes. This can happen when there is some type of anthroporification assigned to the game, or when playing it seems to be unnecessary as when Terrell Owens says that
“losing this game was never an option” as if to defy by some Zeus entitlement or some magic of ‘willing’ a win to happen. While that makes sense in street vernacular it is not ‘common sense” and it does a real disservice to the beauty of what is going on for real and in the lesser constraints of what is going on in a dynamic game (soccer) or even a collective discrete game like American Football.
Counterfactuals are very mechanical in the Newtonian sense of ‘cause and effect’ and maintain the common sense and common illogic of single causality for things that happen. This gives them their simplicity and also their poor logical construction.
They generate a lot of tangentials that take focus away from lines of development. People start studying the ‘mind’ to figure out about behavior even thought the mind can’t be measured or falsified as existing without a courtyard of assumptions, presumptions and other postulates. All the while behavior is occurring without sufficient understanding to allow us to understand how to pick up an egg.
Then again, their use has consequences whether we recognize it or not…
Pros:
Of course this too is ironical in that the subsequent variability leads to some interesting investigations of relationships as well as sink holes of vernacular pop science that dilutes the resources of trying to figure out what the heck is going on “out there.”
Counterfactuals are also the basis of a lot of interesting “leap frog” research in that the concept of counterfactuals generates some non-linear questions about relationships between objects and events with other objects and events. This is best seen in the cases of “Freakanomics” by Stephen Dubner and Steven Levitt as well as what is presented in the 2007 book “Black Swan” by Nassim Nicholas Taleb to mention but two prime examples where counterfactuals work as a literary hook.
Knowing about them will provide a way of using them as needed and not making the mistakes we all make from their misuse. Besides, did any of us really need to know that that pop-logic had a name before reading this slice of verbage?
Posted in analysis of behavior, language, media, politics, tagged counterfactual, media, politics, pundit, strategy on October 26, 2008| Leave a Comment »
When was the last time you used a counterfactual statement? (for definition and examples check here.)
Most likely you dropped one within the last 24 hours. Counterfactual history litters our sports, finance, media/technology, political and intellectual discourse constantly nowadays.
In Sports:
In finance:
In media:
In politics
Our own intellectual discourse:
This is the basis of all punditry. Why? That’s a damn good question. Why is our discourse so focused on counterfactuals? What value to they provide us? Is it just “exhaust” as we try to evaluate consequences of real facts (things that did happen!)? Do they help us organize events so we can better recognize future situations? Do they actually have logical value beyond discussion? (multiple worlds theory…)
These types of statements are completely unfalsifiable. They are hypothetical with no way to test them. The only way would could test these is to be in the exact situations again (or be able to experimentally repeat them). The problem is – there’s absolutely no way to do this. We cannot go back, we cannot recreate the exact circumstances.
How often do you use a counterfactual?
My take is that counterfactuals offer very little explanatory value and little behavior modification value. They are simply fillers as we process what did happen. (now, can I prove this?)
Hmmm… i’m going to work up an experiment.