- Sensory
- Meaning/Representation
- Feeling
- Feeling about Feeling
- Self-Defense (if perceive threat to self)
- Rules for Response
- Response action
Friday, May 30, 2008
Dr. Virginia Satir, and the Gap between Stimulus and Response
Last night, this morning, thinking about the way Dr. Virginia Satir broke down the gap between stimulus and response, and thought about how that related to the pace of change in a life.
Thursday, May 29, 2008
Paying the price for your desired goals
If you want something, you have to pay the price.
Your objective evidence of paying the price shows how much you really want something.
(Not really...)
You can work on your ability to have your desire for a goal, and your objective evidence of "paying the price", be congruent. Less congruent now, more congruent later, with time and effort.
This goes in line with the concept of some "hardwired" things in the mind, taking 10 years to change.
I am on a 10 year project to have my objective evidence of "paying the price" be congruent with my stated desire for different goals, outcomes, values, etc.
Components of Compensation and Management
Thinking more last night about components of compensation and management (and motivation).
There is Intrinsic and External motivation. You need a mixture of both. Men are judged by their salary compared to their brother-in-law, but, also, money alone cannot effectively motivate. A healthy percentage of motivation has to be intrinsic (the problem with intrinsic motivation is that it can be irreparably damaged by a violation of trust (I will write more about this some other time).
(How the heck does Intrinsic and External motivation relate to below? Beat me. Still puzzling it out.)
Anyway, I remembered that I should add "Market Forces" to the compensation and management factors.
Exact components of compensation and management you would desire.
- Historical evidence of meeting objectives: like bookings of a salesman
- Data on activities that have a "causal" relationship to the desired objectives: like number of meetings and follow-up activities with decision makers
- Data on activities that have a presumed, perhaps tenuous causal relationship to the desired objectives: like hours spent researching a possible new product offering. There is a significant chance of complete failure with a new product offering - that is why the causal relationship to the desired objectives is tenuous.
- "Positive" human factors: I sometimes eat at a cafeteria salad restaurant. The cafeteria trays are handed out by a handicapped man. Part of his salary is due to the restaurant living its stated values. (But it isn't all "altruism", he brings value, he is the voice of the restaurant's handicapped patrons). Note - What isn't a "positive" human factor - keeping someone in a job because you feel sorry for them is not a "positive" human factor - it has everything to do with a manager who finds it easy to be generous with other peoples' money, who cannot deal with the anxiety of terminating someone for cause, and who would not hesitate to terminate that person during an economic downturn, which is the exact time they would find it hardest to find a new job.
- "Negative" human factors: the percentage of salary that is based on kissing up, is another example.
- Market Forces: if the work is directly or closely aligned with pricing in an economic market, a component of compensation/management should be based on the market price: like a "free-agent" in baseball, or upper management in a publicly traded company, some component of compensation/management has to be based on the market price
Wednesday, May 28, 2008
Friendship, Trust, Interest, and Reciprocity
Very interesting post from Moshe Z:
What is Friendship?
Image via Wikipedia
Dr. Deming, and the Folly of "Management by Objectives"
Dr. Deming takes a dim view of Management by Objectives.
And he has a point. It seems logical to emphasize the meeting of objectives, but managing by them has difficulties. Your objective evidence of meeting objectives is historical data, so you end up "managing" much like if you painted your car's windshield black, and drove simply from the view in your rear-view mirror. You would be able to make progress, slowly and with many fender scrapes, but it would hardly be satisfactory.
You need to have some kind of "forward-looking" metrics. Now, any "forward-looking" metrics will carry some risk, perhaps a great deal of risk. Imagine a windshield heavily smeared with Vaseline; you would lose all depth perception because all objects would image as smeared, flat blobs of color. But you would do better than driving with the rear-view mirror alone.
"Forward-looking" metrics are based on some model of causality, based on incomplete knowledge and a simplified model of the world. It may not be any better than "viewing through a Vaseline smeared sheet of glass". But how much more satisfactory than managing by historical data alone.
So last night I thought about what the exact components of compensation and management you would desire.
- Historical evidence of meeting objectives: like bookings of a salesman
- Data on activities that have a "causal" relationship to the desired objectives: like number of meetings and follow-up activities with decision makers
- Data on activities that have a presumed, perhaps tenuous causal relationship to the desired objectives: like hours spent researching a possible new product offering. There is a significant chance of complete failure with a new product offering - that is why the causal relationship to the desired objectives is tenuous.
- "Positive" human factors: I sometimes eat at a cafeteria salad restaurant. The cafeteria trays are handed out by a handicapped man. Part of his salary is due to the restaurant living its stated values. (But it isn't all "altruism", he brings value, he is the voice of the restaurant's handicapped patrons). Note - What isn't a "positive" human factor - keeping someone in a job because you feel sorry for them is not a "positive" human factor - it has everything to do with a manager who finds it easy to be generous with other peoples' money, who cannot deal with the anxiety of terminating someone for cause, and who would not hesitate to terminate that person during an economic downturn, which is the exact time they would find it hardest to find a new job.
- "Negative" human factors: the percentage of salary that is based on kissing up, is another example.
Tuesday, May 27, 2008
New Zealand
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Among these cities,
- London
- Paris
- New York
- The Capital Place of New Zealand (*)
(*) New Zealanders have not yet invented the idea of giving places names. To signify different places in their country, they hold up a different number of sheep with human faces and hands, until their arms get tired. TrĂ¼e Story!
Labels:
animal husbandry,
new zealand,
rumpypumpy,
sheep
Friday, May 23, 2008
Women get Upset
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Labels:
Asperger syndrome,
kill it with fire,
Mental Health,
unhappy,
women
Thursday, May 22, 2008
Un-subscribing to "Overcoming Bias"
Image via Wikipedia
Image via Wikipedia
- a human identifying what they believe to be their highest goals and aspirations
- a human having to accomplish this goals and aspirations with limited resources; the most important of which are time, energy, attention, focus.
- with goals and aspirations identified, and limited resources acknowledged, the human can now proceed acting like a stakeholder: observation of situation; leading to analysis; leading to identifying choices; leading to decision; leading to action; leading to evaluating effectiveness; leading back to observation.
- critical analysis of the soundness and ranking of the goals and aspirations identified earlier. Were some chosen simply from social pressure? Are some simply impossible? Are some harmful?
- We expect goals and aspirations to augmented, to be tossed out, to be raised or lowered in relative importance.
Labels:
effective living,
overcoming bias,
rationality
Firefox, Eclipse - User Defined Spell Check Dictionaries
Image via Wikipedia
Image via Wikipedia
Labels:
Eclipse IDE,
Firefox,
Spell checker,
Spelling,
UltraEdit
HTML prettyprint, cont.
Came to realization that I am trying to anticipate browser failures from lack of whitespace, but I would know nothing about it until I start rendering a few dozen pages programmatically.
So skip the whitespace tom-foolery.
Trim all the whitespace, normalize all to spaces, just use "textwrap" to wrap nicely.
The idea, since the general algorithm has the potential to be exponential, is to use heuristics at the tips of the branches and the base of the tree, then clean up.
Then use recursive algorithm, but with checks before descending if a computation is deemed to be "likely expensive".
Going to add "minimum_total_charlength", because easy to calculate.
Why did I forget to clean "tail" along with "text"?
Labels:
exponential,
heuristic,
HTML,
prettyprint,
whitespace
Wednesday, May 21, 2008
more work on HTML prettyprint
today did not have chance to work on HTML pretty print
was going to first lay out all the "text" and "tail" in a line
seperated by the "whitespace preserving" tags
text tail text tail text text <whitespace preserving> text tail <whitespace preserving> text tailthen we have the: 1) empties 2) only whitespace 3) printing characters 4) printing characters with some whitespace at ends we only care about the whitespace that seperates printing characters, for the most part, printing characters in the "text" and seperating whitespace in the immediately following "tail" might be too much work, but, I would not be surprised if ran into issue later (all this work is not in vain, also I will need such stuff when I start programmically generating Python code, to compare my Python bytecode generation against Python's own, against the same algorithm, because of the work I am planning to do with AST, either Python's own in 2.6, or my own form)
Cats and Coffee
Tuesday, May 20, 2008
Monday, May 19, 2008
ideas for pretty print HTML/XML
Now, over the weekend, I was thinking about pretty printing HTML/XML
I figgered, armed with the desired right margin
first find the "elements" that definitely need "breaking up" into multiple lines
start in the "deepest" part of the tree, why not make it simple
these are all the different ways can print element
1) <tag>tagtext</tag>tail 2) <tag>tagtext</tag> tail 3) <tag> tagtext </tag> 4) <tag> tagtext </tag> 5) text<markup>moretext</markup>texttext 6) <tag1><tag2>tagtext</tag2></tag1>hmm...
Indian Wedding, Western Perspective
Lisp and the Day Zero Problem
Image via Wikipedia
Friday, May 16, 2008
Bubbles vs. Non-Bubbles: science of prognostication
Bubbles vs. Non-Bubbles
Thought experiment: imagine you had a magical device, hooked up to a klaxon, that rang out before the market bubble burst. But, when it rang, you didn't know if the bubble would burst in 5 seconds, or in 3 months. It had some randomizer inside, and you didn't have access to know the setting.
There are some unknown number of such devices held by other investors. Maybe a dozen, maybe hundreds, maybe thousands. Each has a reason to keep the existence of their ownership of the device a secret.
You are waken at 3 A.M., by a terrible ringing. What do you do?
Every second you wait, after the klaxon rings, before the bubble actually bursts, you are making money. How long after the klaxon rings, do you pull the trigger?
The point is, even with this magical device, there would be a temptation to procrastinate on selling your whole position, there would be a temptation to try to time the market to the second.
Somebody, in possession of this wonderful device, will get caught with their pants down.
How the hell will this supposed science of bubble prognostication be any better than this magical device? It can only be worse, with worst results.
"Empty" tags in HTML
These are the "empty" tags in HTML:
area, base, basefont, br, col, frame, hr, img, input, isindex, link, meta, param
...sometimes p
important if you are outputting HTML from an XML dom
Overcoming shortfalls in Pownce
Pownce is good pownce.com/manuelg but search is terribly lacking in search capability. Until they fix that, I will have to put some notes here.
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