Friday, September 26, 2014

Mastering the Craft of Smoking Food

by Warren R. Anderson.

This is a good over view of smoking food, different types of smokers, and how to build your own.

Sunday, September 21, 2014

Good, Good Enough, and My Over Refined Pallet


Two Vines wine. It's about $6.00 a bottle and I enjoy it very much. Yes, sometimes I like a good $30.00 bottle of wine. But you know, for me, a $30.00 bottle of wine isn't $24.00 better than Two Vines. I'd rather have five bottles of Two Vines. When it comes to wine I'm very careful to rein in my pallet. I like being able to enjoy a $6.00 bottle of wine.

 

Dicks Hamburgers and Red Robin. Red Robin makes a good burger. No doubt about it. Dicks makes small, inexpensive sliders. They are not gourmet by any standard. But, if you are out late drinking with friends, then nothing is better than pulling up to a Dicks Drive In and ordering a meal—a Deluxe burger, fries and a vanilla shake. If I remember, I'll splurge and spend an extra 10 cents on ketchup.  The whole thing costs less than $8.00.  It's all lower quality than Red Robin, but it's right for that moment.

 

These are situations where absolute standards and relative standards live in stark contrast to each other. Is my life worse off because I settled for a Dicks Deluxe instead of a Red Robin Whiskey River burger? Or because I settled for $6.00 of Two Vines instead of $30.00 for Five Star? No, of course not.

 

Of course this view creates a problem. How do I tell what good quality is if external factors, the place the time, my feelings, turn something that's cheap into something that's wonderful. I think Persig dealt with this "Zen and the Art Of Motorcycle Maintenance" when he asked "What is quality?" and went off into the weeds trying to answer that question rather than accepting that we can't easily define quality.

 

If I can't define quality, then how do I hold high standards? Perhaps the answer is that I have to hold myself to high standards, but accept that the world around me is going to be filled with experiences of various levels of quality.

 

I've spent the past few days working near Christiansburg VA. It's a very nice place. Very pastoral. One thing that frustrates me is how difficult it is to find a nice restaurant. BBQ and Greasy hole-in-the-wall's are all that's around. BBQ is good for one day but then…

 

Is this a regional cuisine that I don't have an appreciation for, or does this region just accept bad cooking? Could I develop my pallet to appreciate the finer points of places that consistently over boil there vegetables and serve iceberg lettuce with some brown bits still attached? By all accounts the people of Christiansburg are very happy with their city. If I were to tell them that I wanted to spend lots of money on well roasted vegetables drizzled with the right amount of a tasty sauce, a prime cut of rare steak and a nice glass of wine, they would look at me a little puzzled and point out that I could have five chicken friends steaks with all you can eat vegetables for the price of one of my meals. That the chicken fried steak isn't that bad, especially when it has good gravy on it. In short, they would point out I had overly refined tastes that weren't doing me a lot of good.

 

Where is the balance in all of this? When are tastes over refined? When are they too low? This all can't be a regional popularity contest, can it? Perhaps this is why Persig went mad when he thought about the nature of quality.

 

 

 


Monday, September 1, 2014

How Not To Be Wrong

By Jordan Ellenberg

Kind of in the same vein as "The Signal and the Noise" Not that it's a clone. More like an intellectual cousin. How Not To Be Wrong discusses how math has been used as a tool to guide us through life, the limitations of what we can know, and how we can get a feel for the size and shape of the unknown, and how to take action when we are unsure.

"For this is action, this not being sure!"
"Error will bring us to the truth more quickly than vagueness."

There is a great chapter on smoking-- does smoking cause lung cancer, or does lunch cancer cause people to smoke. The answer is obvious now. Not so in the 1950's. While the statistics said that smoking was correlated to cancer, the mechanism was not known. Since correlation is not causation… since 90% of all statistics are made up… how do you prove that smoking causes cancer? How much data do you need? And what type? How do you show that you are not biased in your experiments? How do you make progress?

Several times the author touches on this theme. A mathematic process can give you a result if you give it any set of numbers. But, does that process make sense? Are you asking a question the data can answer?

Sometimes the answer is "I don't know" Randomness and noise can have very subtle effects that our brain erroneously thinks are patterns.

In this situation, can you measure the size and shape of the unknown? Control it's distribution and variability? This is preferred to deluding yourself into believing that you can create an answer if you torture your data enough.