Maths Party Submission to TPP Part 1 [Jan 23 2016]

Mathematicians Party of Australia are working on a system model which the Trans Pacific Partnership (TPP) will impact on.

With our input, we have recently submitted to the Department of Foreign Affairs and Trade Australia a high-level paper outlining our need to work together to build more sustainable and resilient models for trade, economy, finance and society.

With your support, we are better supporting the development of mathematical models that Australians can stand by.

Maths Party Jan 2016 Submission on TPP to DFAT - Part 1

Part 2 to our submission will be released in more detail at a later date. If you are interested in inputting to a systems model, please flag your interest to Project Management via email This email address is being protected from spambots. You need JavaScript enabled to view it.

Official Policy Statement


 2017 Policies Review

Currently work in progress (WIP). Due Date July 1 2017.

Budget Estimates due August 1 2017.



2016 Election Policies

1. Implementation of The Chief Mathematician Office

Australia’s Chief Mathematician provides high-level independent advice to the Prime Minister and other Ministers on matters relating to the interface of mathematics with society, prosperity, technology and innovation for Australians.

The Chief Mathematician is to oversee vision, development and maintenance of a working strategy to improve the reach and depth of mathematical capabilities of all Australians, and to interface with key mathematical stakeholders inclusive of educators and policymakers to ensure that Australia is ahead of the curve in mathematics. 

2. Financial System Roadmap

Implement a roadmap to work at the domestic and global level to stabilize mathematical defects inherent in the financial and economic system and provide global leadership in supporting nations cooperate to find shared solutions to common problems of budget deficit, unsustainable levels of debt, currency rate competition and the impact of financial creation on poor environmental and social outcomes. 

3. Standards Innovation

Implementation of triple bottom line accounting measurement and reporting standards for Australian businesses and services.

4. Systems Modelling Group

Development of an independent modelling group that combines earth systems, finance, social, taxation and other models into the one system and optimizes for outcomes other than GDP growth alone - and begins the process of using knowledge to generate better outcomes for equity, environment in Australia and the region.

5. Human, Animal and Environmental Rights Roadmap for the Region

Development of a human, animal and environmental rights judiciary system to be developed with local regional partners over the coming decade 

6. Probity Office and Political Donations Roadmap

Development of a Probity Office tasked with implementing a roadmap for managing conflicts of interest, political donations and corruption in Australia and from investments from international jurisdictions.

7. Negative Gearing

A cap on negative gearing for all individuals at 10,000 dollars per year across all investment classes to a lifetime limit of 150,000 dollars per person.






Conflicts of Interests Register

No conflicts of interest.


History & Charter

Mathematicians Party of Australia (MPA) was founded in 2015 in Australia.

As a future focused organisation, MPA's physical headquarters are currently located in Darwin, Australia, which is proximate to the Asian gateway and results in reduced regional travel for the leadership team.

MPA's Charter will be published on the website at a future date.


Decision Making Process

Mathematicians Party is structured between stacks of subject matter experts, with a facilitation team promoting horizontal exchange of ideas across disciplines and also housing an enhanced systems modelling capability.

All representatives are entitled to represent their own views once elected members of Parliament, however must state where they are in conflict with MPA's official views. Views where different to the party official view for any member, will be documented on our website, along with the rationale of that member.

Mathematicians Party's official views will be resultant of detailed modelling, discussion, testing and due diligence, and the rationale for the policies will be published in full, so that members of the public can support in improving the policy decision where they can identify an issue with the policy logic and present a case for a revised policy.



Mathematicians Party share interests with many educational, research, and action oriented organisations around the world, and will list any formal and informal partnerships of collaboration agreements on our website.



The key objectives for 2016 as of 1 January, 2016:

i. Have fun in maths, support younger generations to develop systems thinking and analysis skills and to become diplomats for mathematical systems modelling between policy makers, business, environment, and other fields.

ii. Design and Run a competition for a mathematical design of a democratic voting system that best solves for Arrow's Theorem ( for more details). The project is being run by independent not for profit think tank, ethicethary. Email This email address is being protected from spambots. You need JavaScript enabled to view it. if you wish to be involved.

iii. Develop a Mathematical based systems model and associated briefing papers that engage with the Australian political process

iv. Be a community supporter of Australian and global mathematicians and maths teachers and explore voices, ideas and actions.

v. Support the elevation of mathematics as a core deliverable in all Australian schools, homes and businesses!

vi. Develop a model for attracting and organising elite talent stacks to deliver results.

vii. Register as an Australian political party with your approval if we get crazy enough or if the world gets too crazy for us not to, whatever happens first.


Communications -

You can find us on twitter by searching for the handle @MathsParty_MPA

Email to This email address is being protected from spambots. You need JavaScript enabled to view it.

Encrypted web chat: [operation hours 3-5pm EST or by appointment]


Publications 2017

Maths Party Submission to the Senate's Select Committee on a National Integrity Commission


Publications 2016

Maths Party Submission to DFAT in response to TPP in relations to Systems Modelling Assumptions and Objectives Jan 2016 [Part 1]

Maths Party Submission to Senate Reform Bill 2016 (negotiating with Parliamentary Committee rep to be heard)

Maths Party Submission to Parliamentary Committee in Relation to Review of  Foreign Investment Framework, March 2016


Publications 2015

Financial System Inquiry Submission to Australian Department of Treasury


News Feed



Current NEWS


We are currently designing a collaborative work space to improve outcomes for Australians.

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SUBMISSION to Financial System Inquiry, March 2015

MPA's Submission to the Australian Federal Government's Financial System Inquiry (FSI) was delivered on the 26th of March, 2015.







An interesting piece on Charles Darwin's contribution to mathematics which also elaborates on why we have a mathematical process named the "Student's T-test" (hint it is related to creating high quality beer). Whilst Darwin wrote in his autobiography of his youthful distaste for maths, he also wrote that he wished he had learned the basic principles of math, “for men thus endowed seem to have an extra sense".

Charles Darwin's Contribution to Mathematics






Paul Erdos was a Hungarian mathematician who spent most of his life essentially homeless, living out of a suitcase and travelling between university mathematics departments around the world, collaborating with the academics there. He published more papers than any other mathematician in history, almost all of which were co-authored with other mathematicians. Later in his life, he also became dependent on amphetamines, although he continued working on mathematics until his death at age 83. The drug addiction was a source of shame and he tried unsuccessfully to keep the fact out of his biographies. Because of his extensive co-authored publications, the concept of the Erdos Number was introduced to measure the collaboration distance between other mathematicians and Erdos. Erdos himself has number 0; his direct co-authors get number 1; people who have co-authored papers with Erdos’s co-authors get number 2; and so on.


A couple of interesting pieces on Erdos are in the form of books - The man who loved numbers, Proofs from the book, and N is a number"


His colleague Alfréd Renyi said, "a mathematician is a machine for turning coffee into theorems" and Erdős drank copious quantities. (This quotation is often attributed incorrectly to Erdős, but Erdős himself ascribed it to Rényi).


Other idiosyncratic elements of Erdős's vocabulary include:

Children were referred to as "epsilons" (because in mathematics, particularly calculus, an arbitrarily small positive quantity is commonly denoted by the Greek letter (ε))
Women were "bosses"
Men were "slaves"
People who stopped doing mathematics had "died"
People who physically died had "left"
Alcoholic drinks were "poison"
Music (except classical music) was "noise"
People who had married were "captured"
People who had divorced were "liberated"
To give a mathematical lecture was "to preach"
To give an oral exam to a student was "to torture" him/her.






It has been widely reported that John Nash has passed away tragically in a car accident at the age of 84 today. Nash's most popular mathematical contribution was to the field of Game Theory, in particular, his observation of an equilibrium point in analysis of competitive dynamics - which is known by economists as the "Nash Equilibrium".

Made popular in broader society due to Russell Crow's portrayal of his life in the Hollywood film, A Beautiful Mind, there is more to the Nash story than many people care to know.

Nash, a mathematical prodigy, was a fierce problem solver and accomplished mathematician. Following a mental breakdown in his early 30s, Nash dropped out of the establishment for 20 years as he grappled with the inner working of his mind.

Nash abandoned his medications and managed to recover in older age by applying logical thought and intellect to his prodigious yet at times psychotic thought patterns.

Nash talks about his recovery and the real mix between enlightenment and madness that his thought patterns allowed him to tap into at the following link:

John Nash on a Beautiful Mind (the movie)

I also post a nice article on Nash's relationship with fellow Princeton academic von Neumann. Enjoy.

The following is an extract on John Nash's relationship with the father of Game Theory John von Neumann

The 2001 movie "A beautiful mind" on John F. Nash's life was a huge success, winning four Academy Awards. It is based on the unauthorized biography with the same title, written by Sylvia Nasar, and published in 1998. There is one amazing scene in the book, which unfortunately was missing in the movie. It is where John Nash visited John von Neumann in his office to discuss the main idea and result of his Ph.D. thesis in progress. Nash was at that time a talented and promising student in mathematics at Princeton University, about to get his Ph.D. degree. Von Neumann was professor at the Institute of Advanced Studies in Princeton. A member of a very select group of just a handful of mathematicians with highest distinction, with Albert Einstein as his colleague there. According to the description of this meeting in the book, which is based on an interview with Harold Kuhn, the visit was short and ended by von Neumann exclaiming "That's trivial, you know. That's just a fixed point theorem" [Nasar 1998].

Reading this scene, one cannot help seeing two men, one of them eager to impress with his theorem, the other making every effort not to be impressed. Actually both men were rather competitive, even more than what may be normal in a field like Mathematics. Although few may be able to answer a difficult mathematical question, once someone attempts an answer, many can tell right from wrong answers. For instance, solving an equation may be hard, but checking whether a number is a solution is easy. For this reason, mathematics contests are frequent. In the 16th century, mathematicians used to challenge each other, and pose questions to show their superiority. In our days, there are many mathematical contests for students, Putnam competition, national and international mathematical olympiads, and others. And for adult mathematicians, there is the game to challenge each other with conjectures, and to beat each other by being the first to prove it.

For this reason successful mathematicians often carry the image of a lone wolf. But even wolves need their pack. After a long time, where mathematicians were physically isolated and only able to exchange their ideas in letters, at the end of the 19th century mathematical centers emerged, first in Berlin and Paris, later also in Göttingen and in many European capitals, like Budapest, Warsaw, Vienna. These centers attracted many world-class mathematicians and students eager to learn from them. Of course there were classes, but a lot of this exchange went on during informal activities like extended walks, private seminars at the home of some professor, or regular meetings in coffee houses. The main subject of discussion was always mathematics. 

But why do mathematicians need their pack? Can't mathematics be done with paper and pencil (and nowadays, a computer) in splendid isolation? And of course, it is nice to learn from the best, but couldn't one just read a book or paper written by them? In my opinion, the necessity of these mathematical centers, and also of conferences in mathematics, places where mathematicians meet and exchange informally, demonstrates that, different to the common perception, mathematics has many "soft" features which require close human interaction. Facts can be learned from books, but underlying ideas are often not so clearly visible in them---actually over centuries mathematicians tried hard not to display their ideas in the papers, just the polished results. But of course, when meeting informally communication of ideas is a main topic. What ideas and approaches have been used, which ones were successful, which one were not. Different to the Natural Sciences, in Mathematics failed attempts are never published, but is still very important to know what has been tried unsuccessfully. Maybe the most important reason for the necessity of a large number of mathematicians to meet and exchange is the formation and communication of paradigms driving research. The community decides, just by talking to each other, in which direction a field should and will develop.

Around 1930, through a sequence of good luck and donations, Princeton changed from a rather provincial teaching-centered university, where basic knowledge was taught to students, into the "mathematical center of the universe" [Nasar 1998], where research in the hottest area was performed. Generous support from the Rockefeller Foundation allowed Princeton University in the mid-20s to create five Research Professorship. These were filled mostly by Europeans, one of them by the very young and very promising von Neumann. A few years later, the independent Institute of Advanced Studies was created through another generous donation. Einstein, von Neumann and two more researcher got positions there. One should maybe also not underestimate the importance of the construction of Fine Hall in 1931, the mathematics building housing library, comfortable faculty offices furnished with sofas (and some with fireplaces), and, most important, a large common room: Excellent conditions for community building and the opportunity of exchange, as discussed above. [Aspray 1988].

It is probably fair to say that Game Theory, as a mathematical topic, started in Princeton in the 1940s. Yes, there have been attempts on trying to formalize and analyze games before, Zermelo's 1913 theorem on chess, applicable to all sequential games of perfect information, and a little later papers by Emile Borel on poker. Even von Neumann's main theorem in the field dates back to 1928. But only in Princeton, where von Neumann met the economist Oscar Morgenstern, started this collaboration which resulted in the von Neumann-Morgenstern monograph in 1944.

This book got very good reviews and eventually made an enormous impact, but it took a few years before broad research in Game Theory started. After the publication of the book, von Neumann, as was his habit, turned to other research areas. It was not before 1948 that Game Theory became a hot topic in Princeton. This was initiated by Georg Dantzig, who visited von Neumann to discuss Linear Programming with him. Von Neumann reacted impatiently to Dantzig's lengthy description of his Linear Programming setting, but then he immediately noticed the connection between it and his theory of two-player zero-sum games [ARD 1986], [Kuhn 2004]. Consequently a project investigating the connection between Linear Programming and Game Theory of was established in Princeton, which included a weekly seminar in Game Theory. From then on, a lot of the discussion among faculty and students circled around game theoretical ideas [Kuhn 2004], [Nasar 1998]. It was this atmosphere that drew Nash towards Game Theory.

Dantzig's description of the first visit in [ARD 1986] seems to indicate that he didn't enjoy it much. But what happened here, discovering that two areas motivated by different models turn out to be mathematically equivalent, is happening over and over in mathematics and is in fact very healthy to the unity of mathematics. Dantzig must have been grateful that his model turned out to have more applications that he was aware of. Keep also in mind that the work which made Dantzig famous, his invention of the "Simplex Method" was not done yet.

Nash's situation in his meeting with von Neumann was different. He presented his main result and just got von Neumann's "that's trivial" response But he extended the range of games considered. Von Neumann's original research was mainly on zero-sum games, he was initially interested in the case of total competition. Dantzig's model of Linear Programming turned out to be equivalent to the solution concept for these games. In the von-Neumann Morgenstern book, they developed a theory for so-called cooperative games, which are games where negotiations are allowed before the game starts, and the enforceable contracts can be made. What Nash introduced was a very different point of view, a changed paradigm: Looking at non-cooperative games, games without enforceable contracts, maybe even without communication, but in which players don't have completely conflicting interests. Only this made Game Theory applicable to real world situations outside of parlor or casino games, only this changed Game Theory into a branch of Applied Mathematics. Which is ironic, since von Neumann was really interested in applications of Mathematics, but Nash was not.

Now what about the alleged "obviousness" of either Nash's result or his proof? Is it? By all means, no. If you doubt it, try to prove the result, described in the page on Mixed Strategies yourself. But we know that von Neumann was a very fast thinker. Maybe he understood Nash's description very quickly and was able to judge it? This might be possible, but it misses the point. Great Theorems in Mathematics are not necessarily great since they are so difficult to prove or understand. Many of the great theorems, like Euklid's Theorem that there must be infinitely many prime numbers, or even Cantor's Theorems that there are "as many" rational numbers as there are integers, but that there are "more" real numbers than rational numbers (after defining "as many" and "more" appropriately) can nowadays be understood by undergraduates. What makes such theorems great are new ways of thinking, new paradigms. Cantor's definition of a cardinal number is such a new concept. Von Neumann did never carefully look at these non-zero-sum games, and neither did the other mathematicians who were discussing Game Theory at Princeton at that time. But Nash did, and then he proved his beautiful theorem. So, as a conclusion, competition, and centers of mathematical thought are very important for mathematical progress, but also very important is the ability to ask new questions, or to create the right concepts. This is what Nash did in 1950.