Resources · Framework

The framework

The ideas Vitrion is built on, as one structure: 7 parts, and every concept placed inside the broader one it narrows. Each opens on what it rests on, what rests on it, and where it is used.

Parts
7
Level 1
21
Level 2
38
Level 3
9

0

How any party is read

Vitrion reads any party - a person, a family, a company: anyone with financial aims - as a point between what it is aiming for and what it wants to avoid: a record behind it, and a range of futures ahead rather than one line.

12 conceptsto level 2

I

Time

Everything a plan shows is laid along time.

3 conceptsto level 1

II

Information

What sets the width of the range ahead of a party: how precisely its aims are stated, and how well its present position is known.

8 conceptsto level 2

III

Money

Money is the means to a life, not the aim.

7 conceptsto level 3

IV

Personality

The people a plan is for: what they are aiming at, how they decide alone and together, and how their minds shape the choices they make.

18 conceptsto level 3

V

Idea and action

How an intention becomes a fact.

11 conceptsto level 3

VI

The plan

A party's record and its decisions, carried forward to the horizon and run through a thousand paths: the range ahead, and the chance every need is met.

9 conceptsto level 2

Sources

  1. Barbara Minto, The Pyramid Principle, ch. 1, 1987.Cited by How this framework grows
  2. Peter L. Bernstein, Against the Gods: The Remarkable Story of Risk, 1996.Cited by Probability
  3. Pierre-Simon Laplace, Essai philosophique sur les probabilités, 1814.Cited by Probability
  4. A. N. Kolmogorov, Grundbegriffe der Wahrscheinlichkeitsrechnung, 1933.Cited by Probability
  5. Frank H. Knight, Risk, Uncertainty and Profit, 1921.Cited by Uncertainty, Probability, Risk
  6. Douglas W. Hubbard, How to Measure Anything, 2007.Cited by Measurement, Estimates as Ranges, The Value of Information
  7. P. W. Bridgman, The Logic of Modern Physics, 1927.Cited by Definition, Measurement
  8. Philip E. Tetlock and Dan Gardner, Superforecasting, ch. 3, Keeping Score, 2015.Cited by Calibration
  9. Daniel Kahneman, Thinking, Fast and Slow, ch. 20, The Illusion of Validity, 2011.Cited by False Precision, The illusion of validity
  10. Ronald A. Howard, Management Science 34(6), Decision Analysis: Practice and Promise, 1988.Cited by The Value of Information, Decision
  11. Richard Rumelt, Good Strategy / Bad Strategy, ch. 5, The Kernel, 2011.Cited by What to do next
  12. Nicholas Metropolis and S. Ulam, Journal of the American Statistical Association 44(247), The Monte Carlo Method, 1949.Cited by Monte Carlo simulation
  13. Irving Fisher, The Theory of Interest, 1930.Cited by Time and money
  14. Eugene F. Fama, The Journal of Finance 25(2), 383-417, Efficient Capital Markets: A Review of Theory and Empirical Work, 1970.Cited by Market pricing
  15. John Maynard Keynes, The General Theory of Employment, Interest and Money, ch. 12, 1936.Cited by Market pricing, Group dynamics
  16. Elroy Dimson, Paul Marsh and Mike Staunton, Triumph of the Optimists: 101 Years of Global Investment Returns, 2002.Cited by Expected return and volatility, What the Past Can Witness
  17. Harry Markowitz, The Journal of Finance 7(1), 77-91, Portfolio Selection, 1952.Cited by Expected return and volatility
  18. Benoit Mandelbrot, The Journal of Business 36(4), The Variation of Certain Speculative Prices, 1963.Cited by Fat tails
  19. Gary S. Becker, Human Capital, 1964.Cited by Human capital
  20. John W. Pratt, Econometrica 32(1/2), Risk Aversion in the Small and in the Large, 1964.Cited by The Value of Certainty
  21. Herodotus, Histories, 1.53 and 1.91, c. 430 BC.Cited by Decisions You Cannot Take Back
  22. docs/cma-provenance.md, Vitrion CMA Provenance Pack v1, 2026.Cited by Expected return and volatility
  23. Ole Peters, Nature Physics 15(12), The ergodicity problem in economics, 2019.Cited by Decisions You Cannot Take Back, The Loss That Ends the Game
  24. Ole Peters and Murray Gell-Mann, Chaos 26(2), Evaluating gambles using dynamics, 2016.Cited by The Loss That Ends the Game
  25. Daniel Bernoulli, Econometrica 22(1), Exposition of a New Theory on the Measurement of Risk, 1738; English translation 1954.Cited by Decisions You Cannot Take Back, The Loss That Ends the Game
  26. J. L. Kelly Jr, Bell System Technical Journal 35(4), A New Interpretation of Information Rate, 1956.Cited by The Loss That Ends the Game
  27. Nassim Nicholas Taleb, Skin in the Game: Hidden Asymmetries in Daily Life, 2018.Cited by The Loss That Ends the Game