In this RSA video, Jeremy Rifkin looks at what he calls the emerging “Empathic Civilisation”. He says that in the last ten years there have been many developments in Evolutionary Biology, Neuro-Cognitive Science, Child Development and many other forms of research that are beginning to challenge some of the long-held assumptions we have about human nature and the meaning of “the human journey” and this information challenges the institutions that we have created based on many of these assumptions – our educational institutions, our business practices and our Governing Institutions. So could our new coalition Government with its brief beyond traditional Party Dogma be a seed for the start of such a revolution in our thinking?
In this RSA video, Jeremy Rifkin looks at what he calls the emerging “Empathic Civilisation”. He says that in the last ten years there have been many developments in Evolutionary Biology, Neuro-Cognitive Science, Child Development and many other forms of research that are beginning to challenge some of the long-held assumptions we have about [...]
I have blogged many times about the “iatrogenic” effects from paying big bonuses. Like when “Bonus Culture” inhibits creativity in the organisation and the observation that rewards sabotage people’s intrinsic motivation and sabotage good customer service. The idea of using rewards to drive/modify behaviour comes from the Old Psychology models. To get to understand the [...]
I have blogged many times about the “iatrogenic” effects from paying big bonuses. Like when “Bonus Culture” inhibits creativity in the organisation and the observation that rewards sabotage people’s intrinsic motivation and sabotage good customer service. The idea of using rewards to drive/modify behaviour comes from the Old Psychology models. To get to understand the nature of intrinsic human motivation we need to look to New Psychology models.
Well the RSA have just produced this video summary in their Animate series from Dan Pink which summarises some of the other problems about paying bonuses, including a study at M.I.T. sponsored apparently by the USA Federal Reserve Bank.
I have blogged quite a lot about the problems of the “bonus culture” particularly where very large bonuses are concerned. There was
How Rewards Sabotage Creativity and
Unintended Consequences – what do very large bonuses attract? and
Bonus Culture – proud to win a cabbage not the cash?
And have you heard the latest spin on this from the [...]
I have blogged quite a lot about the problems of the “bonus culture” particularly where very large bonuses are concerned. There was
How Rewards Sabotage Creativity and
Unintended Consequences – what do very large bonuses attract? and
Bonus Culture – proud to win a cabbage not the cash?
And have you heard the latest spin on this from the Royal Bank of Scotland? (as reported by Graham Jones)
Graham says
The boss of RBS has scored a Gordon Brown-like “own goal”. The bank’s Chairman, Sir Philip Hampton, has admitted that city bankers are paid too much – “astonishingly high”, is what he said their salaries were. He went on to say, however, that if you don’t pay these big salaries, then people leave. Indeed, said Sir Philip, many of the “top people” have already left RBS. That was before he went on to explain that the bank had achieved much better results than expected. Sorry, run that past me again? The “top people” have left – and the bank has improved. Er…sounds to me like you should let more of them leave, Sir Philip…!
which is more or less what I have been saying for sometime!
and Graham goes on to say:
But why is it that everyone in the banking industry – and the Government – falls for the line “we have to pay people high salaries in order to keep them”?
If you want to read more on this then go to Graham’s blog here
I have blogged quite a lot about the problems of the “bonus culture” particularly where very large bonuses are concerned. There was
How Rewards Sabotage Creativity and
Unintended Consequences – what do very large bonuses attract? and
Bonus Culture – proud to win a cabbage not the cash?
And have you heard the latest spin on this from the [...]
I have blogged quite a lot about the problems of the “bonus culture” particularly where very large bonuses are concerned. There was
How Rewards Sabotage Creativity and
Unintended Consequences – what do very large bonuses attract? and
Bonus Culture – proud to win a cabbage not the cash?
And have you heard the latest spin on this from the Royal Bank of Scotland? (as reported by Graham Jones)
Graham says
The boss of RBS has scored a Gordon Brown-like “own goal”. The bank’s Chairman, Sir Philip Hampton, has admitted that city bankers are paid too much – “astonishingly high”, is what he said their salaries were. He went on to say, however, that if you don’t pay these big salaries, then people leave. Indeed, said Sir Philip, many of the “top people” have already left RBS. That was before he went on to explain that the bank had achieved much better results than expected. Sorry, run that past me again? The “top people” have left – and the bank has improved. Er…sounds to me like you should let more of them leave, Sir Philip…!
which is more or less what I have been saying for sometime!
and Graham goes on to say:
But why is it that everyone in the banking industry – and the Government – falls for the line “we have to pay people high salaries in order to keep them”?
If you want to read more on this then go to Graham’s blog here
In this piece I introduce some more differences between Math 1.0 and Math 2.0, and in the next piece (now that I have finally found how to put tables into wordpress) I will be drawing up a table that summarises examples of the differences between Math 1.0 and Math 2.0
Math 1.0 can be considered to [...]
In this piece I introduce some more differences between Math 1.0 and Math 2.0, and in the next piece (now that I have finally found how to put tables into wordpress) I will be drawing up a table that summarises examples of the differences between Math 1.0 and Math 2.0
Math 1.0 can be considered to be a special case of Math 2.0, where certain aspects of reality are ignored for the purpose of making things black and white and therefore easier to manipulate and compute.
Math 1.0 is helpful in specific circumstances like simple counting and manipulation of number, adding, subtracting, multiplying, dividing of pure number, and for making approximations, and is also useful in statistical manipulations where it is valid to manipulate data away from its context. Math 1.0 thinking successfully delivered a rocket to the moon but has failed to deliver insight into most chronic problems affecting humanity today. Math 1.0 thinking is part of the problem!
Math 1.0 is not valid in the domain of measurement nor when ‘counting’ is actually for the purpose of measuring ‘things’. And yet we use Math 1.0 with measurement all the time!
Using Math 1.0 as the ‘logic vehicle’ for interpreting changes in measurement data is a major reason why we have witnessed so many decisions by leaders and politicians in the last few decades that have turned out to be wasteful and that have exacerbated rather than solved ‘problems’. This happens when the Math we learn at school (Math 1.0) is applied into the world of measurements. And a science based around this maths re-inforces it as a science of reduction and ‘ism’ (“ism” happens when a discipline comes to believe its working model of the ‘world’ as true rather than ‘useful in defined situations’). So the belief (as true) in the mechanistic universe and the use of Math 1.0 as a sturdy, reliable and incontrovertible companion has led the traditional Newtonian scientist up the proverbial garden path and is still being led there daily. Multi-billion pound projects based on the assumptions of a reductionist science leading absolutely nowhere, whereas situations that could be drastically improved based on a science thinking in terms of systems and Math 2.0 are not being allocated the same research money.
To fully appreciate the meaning and consequences of data measurements, a good understanding of Math 2.0 and its application is required. If we care to look, we will find that the scientific, political and business literature is littered with examples where statisticians (who we would think would know better) have fallen into the trap of applying the thinking of Math 1.0 to the situations described best by Math 2.0, thereby giving us misleading ‘expert’ information and advice
This venn diagram shows the relationship between Math 1.0 and Math 2.0:
Are we really Numerate? How numbers lead us up the garden path!
Our Politicians and Business Leaders talk about the need for us all to be both literate and numerate when we leave school and as such literacy and numeracy are key subject components of the National Curriculum and beyond.
But are we infact teaching the literacy [...]
Are we really Numerate? How numbers lead us up the garden path!
Our Politicians and Business Leaders talk about the need for us all to be both literate and numerate when we leave school and as such literacy and numeracy are key subject components of the National Curriculum and beyond.
But are we infact teaching the literacy and numeracy required for success in the real world?
I think not and I will be posting my thoughts on this over the next few weeks on this blog
Here I make a start, looking at Numeracy.
I call the numeracy that we learn at school and in our universities “Math 1.0″ (And in general this is the only form of numeracy we are taught, so most if not all of our leaders are only numerate to the level of Math 1.0)
This is a Math that is useful, but only in the very simple domain of counting and manipulating pure numbers. This domain is what Donald Wheeler (one of the few statisticians in the world who seems to understand this stuff) calls “Math World” a strange world that has very little bearing on everyday reality. It is very misleading in fact when, in the Real World, we use Math 1.0 to manipulate, interpret and compare measurements
It was Walter Shewhart (the man who has been called the father of quality) who said “Data is meaningless outside of its context”. Using my language here, he could have rephrased this as “Data is meaningless unless processed using Math 2.0″ (Math 2.0 is a way of working with numbers that keeps the important context ‘in view’)
Math 1.0 is the Math of the Counters. Math 1.0 works for the abstract Math-World. Math 2.0 however is needed for Real-World Problems.
Many of our “number experts” (mathematicians and statisticians for example) base their life-long working knowledge on this Math 1.0, so they are then part of the problem. Math 1.0 is entrenched in academia and science.
It is now one of those implicit unquestioned assumptions (like water is to fish and air to birds) that Math 1.0 is numeracy and that Math 1.0 describes the sole reality of numbers. There will certainly be a few people in very high powerful places who know about Math 2.0 but are happy for the rest of us to just learn Math 1.0. When it comes to comparing things, Math 1.0 does not clarify issues, instead it clouds them.
All this means so few people know or understand the limitations of numbers, and therefore that numbers can be used to keep us all in the dark (ages?) about most things. We will never really know whether our Health Service or Schools are getting better or worse using Math 1.0. What is certain is that using Math 1.0 we get into endless debate about the trivia from the data (we can call this “noise”) and we will nearly always be missing the important understandings (we can call this the “signal”). Without Math 2.0 the useless information (noise) is drowning out the important information (signal).
So although it seems ludicrous that some, if not most, of our main ‘experts’ in Maths and Statistics use a Math that was devised for the special case of pure numbers and counting and that is strictly NOT applicable to numbers as MEASUREMENT.
But it is such experts that write a numeracy curriculum for our schools, universities and accountants that is based on a special case with numbers (the Math of simple counting – Math 1.0).
In the real world most of the important numbers we deal with on a day to day basis are to do with measurement, or involve counts that are being used as measures, and so we need to apply “Math 2.0″ in order to interpret these situations.
When we use simple Math 1.0 for interpreting data measurements we create problems and misunderstanding. Because we have come to rely on numbers in every facet of life and business (we found we could no longer trust the word of leaders, doctors, scientists etc so we needed their numbers) numbers now heavily impinge on our emotions.
We can get very angry when we see numbers we don’t like. The problem is often there is no valid reason to get angry with the numbers, it is Math 1.0 we should be getting angry with. We should be getting angry that we are not taught the ‘numeracy of measures’ at all.
Everyday we are all making decisions with sometimes life-threatening or very severe unintended consequences because of a lack of real-world numeracy because we don’t have the skills of Math 2.0
No-one is excluded. Politicians, scientists and business leaders all continually make poor decisions when they apply Math 1.0 thinking to real-world Math 2.0 situations, making us depend on numbers in a way that is totally irrelevant, abstract, misleading, artificial, and distorting.
Our lack of real-world numeracy Math 2.0 skills is I believe a big part of the problem why so much today seems to be going wrong. We follow the numbers but we don’t understand the numbers and as a consequence we jump to the wrong conclusions and we take actions misguidedly on the numbers and actually then make matters worse rather than better. (Deming called action based on misguided interpretation of data – tampering and he devised the funnel experiment to help us understand how tampering makes matters worse)
So at this point you may be asking what is this Math 2.0, why isn’t it taught in school and what difference would it make? I will some outline the key differences between Math 1.0 and Math 2.0 next time but here is a taster.
Math 1.0 is an artificial world where lines have no thickness, parallel lines can’t meet and numbers are absolute. When we use Math 1.0 there is only one correct answer and it is not possible to have variation in the answer. (in the real world however variation is always present)
Math 2.0 on the other hand is a real-world Math where lines have thickness, parallel lines can meet and most importantly measured numbers are never absolute. As variation exists in all things Math 2.0 does not ignore its effects (whereas Math 1.0 assumes random variation does not exist)
So here is a little teaser to see if you are working from Math 1.0 or Math 2.0
MATH 1.0
Math 1.0 2 + 2 = 4 YES this is absolute, there is only one answer and that is 4
Math 1.0 implies that this answer is the same whether we are using simple counts or measures.
So 2 inches plus 2 inches will always equal 4 inches
MATH 2.0
Math 2.0 – when simply counting, the results are the same as for Math 1.0
So 2 + 2 = 4 this is absolute, there is only one answer and that is 4
However when adding together measures or comparing measures:
2 + 2 = 4 but only on the average (so each time we take measurements and add them together the answer can vary either side of the number 4 by an amount which Math 2.0 can reliably approximate )
this scenario would be more precisely written as:
2 (v1) + 2 (v2) = 4 (v3)
where v1,v2,v3 is the variation (plus minus 3-standard deviations) that is inherent in each measurement
This brings me on to a further significant difference between Math 1.0 and Math 2.0.
In Math 1.0 there is ALWAYS significance in any change of number and therefore there is value in comparing just two data points. So if something measured 20 last month and 23 this month Math 1.0 says there is a change (an improvement if good stuff, a worsening if the measure is bad stuff. So as Math 1.0 is the math of pure counting if we have 20 apples in one basket and 23 apples in another it is clear that the second basket has (three) more apples in it. Math 2.0 would come to the same conclusion. However if the tree in your garden produced 23 apples this year and 20 last year we actually need Math 2.0 when seeking to make a decision about whether this difference means the tree yield is improving? For we are now not looking at the pure count of the apples we are seeking to use the numbers to give us knowledge about the tree. Now instead of apples and tree performance think of pupil exam success and school performance. And then by way of extrapolation think school success and league tables.
In Math 2.0 we CANNOT KNOW IF THERE IS A DIFFERENCE between 20 and 23 unless we have more data (and then a lot of the time Math 2.0 will show there will be no likely significant change). Math 2.0 tells us that comparing just two data points is ALWAYS meaningless (and of course it can provide the evidence for this). Each time we just compare two data points we are viewing the data outside of its context.
If only journalists were schooled in Math 2.0 we would not have so many meaningless, stupid headlines in our papers. But there again, they probably wouldn’t sell so many newspapers, so you could see that their bosses would be quite happy that their journalists are only numerate to Math 1.0 level.
Using Math 2.0 many headlines in the newspapers would read “Probably no change in the trade figures this month” rather than something that appears very dramatic like “4% fall in trade figures throws UK back into recession”.
Which of these two headlines would make you buy the newspaper – the first one (‘probably no change” so nothing much is happening - a quite likely scenario using Math 2.0) or the second headline derived using the inappropriate use of Math 1.0 ?
Have I grabbed your attention?
If you already know what I mean by Math 2.0 great, please post your own examples here about how Math 1.0 misleads, If you think I am a raving lunatic and it simply can’t be possible that we are being taught the wrong numeracy at school for making sense of the real-world, then please follow, watch and learn. And if you still think I’m being stupid tell me so.
In the next two articles in this series I will be comparing in much more detail some of the differences between Math 1.0 and Math 2.0 and seeking to impress upon the sceptics out there that this is really important stuff.
Next Time: Maths and Science leading us up the (wrong) garden path
In Southend-on-Sea at the moment. This morning walked up and down Southend Pier – lovely jubbly – sun and sea breeze – highly recommended #
RT @PaulSloane: Innovative leaders are comfortable with ambiguity. Evangelical about the vision but agnostic about how to achieve it #
RT @PaulSloane: Innovators ask searching questions that challenge the assumptions [...]
- In Southend-on-Sea at the moment. This morning walked up and down Southend Pier – lovely jubbly – sun and sea breeze – highly recommended #
- RT @PaulSloane: Innovative leaders are comfortable with ambiguity. Evangelical about the vision but agnostic about how to achieve it #
- RT @PaulSloane: Innovators ask searching questions that challenge the assumptions we all take for granted. And so do Iconoclasts! #
- there are many taken-for-granted assumptions about the biology of men and women – Myth busting quiz by my mate Gary W http://tiny.cc/UeWAv #
- Most of my upcoming skills-development workshops till end of Sept (inc early bird prices) are now posted at http://ping.fm/Xv7P6 #
- .@jskit I just reserved my spot to be amongst the first to get #ECHO! http://bit.ly/echoinvite #
- RT @Ed_Dale: Comments Dead, Twitter Holds Smoking Gun http://ff.im/-59wKR #
- Looks like being a great meeting at Kidderminster 4Networking in the morning -unfortunately I can’t make it -Nicholas Lee the 4sight speaker #
- Working on some costs for a Project all afternoon -doing my head in! However Circuit Training later- that’ll get the endorphins going again. #
- Mappism: Anyone can make things bigger, more complex, or more violent. It takes a genius and courage to smallify, simplify or pacify #
- “Thinking that the human brain was designed to do” – so why don’t we use these natural abilities? http://ping.fm/30RAr #
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Thinking the human brain was designed to do
Do you ever stop to think about your thinking? It seems to me that there are at least three levels of thinking that the human brain can do that enhances our capacity to design ‘newness’. To actually solve issues where the current level of thinking fails to find [...]
Thinking the human brain was designed to do
Do you ever stop to think about your thinking? It seems to me that there are at least three levels of thinking that the human brain can do that enhances our capacity to design ‘newness’. To actually solve issues where the current level of thinking fails to find long-term effective solutions.
“We cannot solve the problems of today with the same level of thinking that created the problems in the first place”
Albert Einstein (He said words to this effect many times over his lifetime)
What did Einstein mean by this? Well I guess using my terminology from the previous few blogs on this topic he did not mean crowing cockerel thinking, nor flat world thinking, not even earth around the sun thinking. Neither of these three ways of thinking would cut the mustard for Einstein.
So lets look at three further levels of thinking that would ‘cut the mustard’
Here are the three levels of thinking that our human brain was wired to do, ways of thinking that clearly differentiate us from the abilities of reptiles and other mammals.
(1) “Out from my Existing World” Thinking
This is thinking where the thinker takes a (one dimensional) step out from their current set of beliefs (or paradigm) about how the world (and everything in it) works. So rather than staying ‘imprisoned’ within the assumptions, beliefs, and theories of the existing system (my current world) to take a step outside/above and look from a different viewpoint or perspective. This level of thinking is sometimes described as ‘out of the box’ or ‘lateral’ thinking
(2) Multiple Perspectives Thinking (MPT)
MPT occurs when you can suspend you existing assumptions and start to scan ‘reality’ from multiple perspectives or ‘viewing points’. For example when you are in dispute with someone you can look to hold three different perspectives in your head and view the situation from each. What is your thinking on this issue, what are the likely thoughts the other person has, and what would a third person who no axe to grind think about this situation. By viewing this issue from three perspectives gives insights not possible from just one. Anyone acquainted with W. Edward Deming’s ‘System of Profound Knowledge’ will appreciate that Deming created a tool that let’s us view any issue through the lens of four different perspectives. When we do this we get a good sense of the unintended consequences that we might ‘cause’ by simply taking a ‘one perspective’ viewpoint.
This type of thinking is greatly enhanced when we are in multilogue. Here we listen and share information in a particular way and sitting with people who hold widely differing perspectives. Everyone in the room suspends their existing assumptions and then as the multilogue progresses they seek to hold the totality of thoughts and ideas in their heads. And then (and only then) from a state of nothingness (shown by absolute silence) there begins to emerge through the vehicle of the group, new thoughts and ideas. In a society that is not used to sitting in the silence, multilogue is tricky to achieve (Many of us seem to be threatened by it)
However there are however tools and techniques that will allow us to achieve this type of thinking whilst working on our own and Deming’s System of Profound Knowledge is one such tool.
(3) Meta-Thinking
This is our ability to think about thinking. To be able to think and to challenge our own thinking and the thinking of others. It appears that we are the only life-form on this planet to be able to ‘meta-think’ and it is this one ability that has made us so successful. All the great major breakthroughs in human advancement have come about through this ability. We cannot achieve any of the other five levels of thinking without having this ability. Yet what are we most likely to do when we have a problem? Think-about-our-thinking or sit and watch a reality TV programme?
It is sad to know that the three levels of thinking described here (each of which lift our abilities above that of reptiles and mammals) are so rarely used to focus and seek solutions to the challenges we have today. Einstein would not be happy. If you live in the midlands and you want to jump-start your thinking and creative ability I have some upcoming workshops on these topics in Birmingham and Worcestershire
Coming Next: Black and White thinking – the curse of our society
Knowing the What and Knowing the Why
To know the ‘what’ or ‘why’ about anything, we have to understand something about our current beliefs and how beliefs interact with how we think and what we think about. If you see yourself as a ‘Thought Leader” this is definitely the blog to be.
This first post takes an [...]
Knowing the What and Knowing the Why
To know the ‘what’ or ‘why’ about anything, we have to understand something about our current beliefs and how beliefs interact with how we think and what we think about. If you see yourself as a ‘Thought Leader” this is definitely the blog to be.
This first post takes an initial look therefore at beliefs and thinking.
Virtuous or Vicious Cycle in your Thinking?
What we believe (our models, theories, assumptions) influences how we think and what we think about. Equally how we think and what we think about influences our beliefs. This process can either represent a virtuous cycle or a vicious cycle depending on whether the process is opening up or closing down the limits of our thinking (And believe it or not this interaction between thoughts and beliefs is so powerful it influences ‘how we see things’ so that what we actually see through our own eyes has less direct and immediate impact on our beliefs than we think – the idea that ‘seeing is believing’ is in fact rarely true for us)
It is our models, beliefs, theories that we ‘hold’ in our head that help to make sense of the world around us. However we often fail to recognise that ‘that sense’ is not representative of a true reality but is a ‘best fit’ of reality as it has appeared to us so far in personal everyday experience.
Every model can be true (useful) at some level (within its own often limited context).
Harmful Models - Some models prove (demonstrate) to be harmful in that they generate actions, behaviours, systems, viewpoints that in the long term make matters worse rather than better. Theories about what is right or wrong, good or evil have led to destructive wars against people who are little different from ourselves except for the beliefs they hold.
Helpful Models – Other models prove to be useful in the long term in that when the principles of the model are followed things consistently improve. In this blog we will be particularly interested in models and beliefs that have led to sustained improvement rather than holding a status quo or making matters worse. And of course we will need to keep an eye on what we mean (operational definition) by improvement as this is not always clear and can therefore can muddy our thinking.
Models that broaden our reality - We should be aware that some models and beliefs will broaden our view of reality (like a wide-angle lens for photography). Such models will be particularly useful when we need to see the bigger picture or to see how things interact and connect together. Such models are also likely to be useful in times of rapid change when a broader model has more inherent flexibility in the thoughts that it allows
Models that constrict our reality – Other models may narrow or constrict our view of reality. These models may be useful when we need to be focused on the “where-we-are” and the “here-and-now”. However the danger with these models is that we can’t see further than the end of our nose, we can’t see the forest from the trees and we can’t see why and how mankind in general is making things on planet Earth worse not better. Also such models are likely to be a liability in times of rapid change where the here-and-now almost instantly becomes part of the back ‘there-and-then’.
Next: Different ways of thinking.
A view on politicians - ”A politician thinks of the next election. A statesman, of the next generation.” ~ James Freeman Clarke.
A view on Politics- ”Politics is the gentle art of getting votes from the poor and campaign funds from the rich, by promising to protect each from the other.” ~ Oscar Ameringer
This Blog: On the need [...]
A view on politicians - ”A politician thinks of the next election. A statesman, of the next generation.” ~ James Freeman Clarke.
A view on Politics- ”Politics is the gentle art of getting votes from the poor and campaign funds from the rich, by promising to protect each from the other.” ~ Oscar Ameringer
This Blog: On the need for something different in Politics
We need something new and something completely different in Politics. Believing that tinkering with what we have will lead to something much better is madness. The current political system regardless of the ‘Party’ elected to power has consistently failed to do the job for which it was elected.
Why is Government Failing?
This could be due to several things. Firstly that ‘Government’ thinks it can control things that it cannot (and therefore will always under-deliver); (2) the thinking and assumptions about the ‘problems’ are wrong or the methods by which Government seek to implement their policies simply don’t work; or (3) that the system itself is the problem (the system is the one that embraces what we currently accept – Political Parties in charge (rather than independent thinkers), whips to maintain Party discipline and ideology regardless of consequences; ideological thinking tempered often only by charged polarised debate (or in the UK- the slanging match) as the best vehicle to find the new solutions to existing problems or (4) the system fails because we the voters either lack the knowledge or the wherewithal to canvas effectively for something better. This latter viewpoint incidently espoused by James Garfield “Now more than ever the people are responsible for the character of their Parliament. If that body be ignorant, reckless, and corrupt, it is because the people tolerate ignorance, recklessness, and corruption.” So perhaps rather than the politicians canvassing for our vote we need to canvas them about what we expect from them (and it certainly isn’t all those things we seem to have been getting and seeing recently)
Could we dispense with Political Parties and still elect a Government?
This blog will look at all the possible aspects of why the current system is failing us. The blog will look at some of the things we could do differently. Indeed we will explore whether we can dispense with political “Parties” all together. Would it be possible to elect, manage and orchestrate a Parliament filled with independent members? What knowledge, mechanisms, processes would need to be in place to allow this scenario to not only happen but succeed in doing better than what we currently have? If we actually need Parties, can we construct a Non-Political Party to promote different ways of doing things? Is the idea of a Non-Politcal Party an Oxymoron? What’s an Oxymoron?
Can a Political Party Think the Unthinkable? Of course not! (not if it is truly ‘political’)
One thing seems clear. Our existing Political Parties will not be able to make the drastic changes in thinking that are required to take society into a 21st Century where things actually improve rather than keep getting worse. Therefore there is a strong need for some new energy and ideas to come into Politics and ultimately there must be a real choice at the Ballot Box where individuals can place their vote with that person or Party that is singing from a different song-sheet. Most political parties would do most things the same in office; the differences are merely in the detail or in the method.
Coming Next: How all the current main political Parties are actually 95% all the same and What is Politics anyway?


