Kingdon Theory of Streams in Policy
2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster
The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST. CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED
Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.
Environment Demographics Population Growth Population Weather Climate Failure Death Mortality Science Technology Engineering Strategy Economics Politics Fertility Health Services Resources Land Jobs Labor Urban Industrial Rural Lifetime Pollution Regeneration Yield Ocean Sea Fish Plants Animals
The probability density function (PDF) of the normal distribution or Bell Curve Gaussian Distribution by Guy Lakeman
The parameter is its standard deviation with its variance then, A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.However, those who enjoy upskirts are called deviants and have a variable distribution :)
A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.
If mu = 0 and sigma = 1
If the Higher Education Numbers Are Increased then the group decision making ability of society would be raised above that of a middle teenager as it is nowBUT Governments can control children by using bad parenting techniques, pandering to the pleasure principle, so they will make higher education more and more difficult as they are doing
85% of the population has a qualification level equal or below a 12th grader, 17 year old ... the chance of finding someone with any sense is low (~1 in 6) and the outcome of them being chosen by those who are uneducated in the policies they are to decide is even more rare !!!
Experience means little if you don't have enough brain to analyse it
Democracy is only as good as the ability of the voters to FULLY understand the implications of the policies on which they vote., both context and the various perspectives. National voting of unqualified voters on specific policy issues is the sign of corrupt manipulation.
Democracy: Where a group allows the decision ability of a teenager to decide on a choice of mis-representatives who are unqualified to make judgement on social policies that affect the lives of millions.The kind of children who would vote for King Kong who can hold a girl in one hand and swat fighter jets out of teh sky off the tallest building, doesn't have a brain cell or thought to call his own but has a nice smile and offers little girls sweets.
The Republican Party, Neoliberalism and Climate change Denial
Why Nations Fail
Original model done for The Perspectives Project though recast into Kumu.
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The Art of the State
The Great Transformation
The Passions and the Interests
The Economics of JK Galbraith
Neoliberalism and health policy
Killing the Host
Service Delivery Governance Constraints
Can you close the loops on cause and effect? Can you make it relevant to your own regional services? Could this be put into a CMO Framework IM-1713?
Political Economy of Health Services
Organising and Disorganising
Institutional adaptive cycles
Cure Crowding Out Prevention
Gun control plural rationalities
Prediction of goodness - application level 2
This is little bit advanced. For purposes of level 1 research model, this whole is a new decision method with new class of decision makers.
As much as I know nobody is using this method. This is not research, this is advanced application. See research fist.
Model is mostly chronological.
Links that would make the model messy are left out.
Some more notes...
GDI is good decision index in percents of "Yes, back in time, I would like the decision to win in comparison again."
GDI feedback may start right after decision, but should be editable.
Other feedback may be directed almost from any place to any other, here we got just the one qualitative loop that is of high importance for this explanation. Request for method may be resolved by many methods, GDI tells very little about it. Priorities might be different e.g. there might be not enough time for some method, there might be preference for socializing or learning, "uninportant decision do not need to be that much good", etc.
Contraflow Bus Lanes - CLD
Contraflow bus lanes seem to produce a never ending succession of accidents involving pedestrians. An understandable reaction is that pedestrians are careless and that more visible indicators of the potential danger is an appropriate measure. This leads to the 'Symptomatic Solution' - but unfortunately accidents are not usually stopped by symptomatic solutions. Another but potentially far more costly and time-consuming approach is available: investigating a fundamental solution. Recent findings in cognitive science have shown that often repeated actions (like looking to the right when crossing the street) are phisically represented in our brains - see George Lakoff and Mark Johnson's book Philosophy in the Flesh. It seems that looking in the wrong directon is a default setting in our brain that is almost impossible to correct. The fundamental solution must deal with the implication of this and any other reasons that contribute to the accidents. In the town where I live, and surely in many other cities, contraflow bus lanes are still in operation - here, I'm sure, Systems Thinking could help and inform public policy.
S-Curve + Delay for Bell Curve by Guy Lakeman
Generation of Bell Curve from Initial Market through Delay in Pickup of Customers
This provides the beginning of an Erlang distribution model
The Erlang distribution is a two parameter family of continuous probability distributions with support . The two parameters are:
- a positive integer 'shape'
- a positive real 'rate' ; sometimes the scale , the inverse of the rate is used.