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Causal loop flow pages

The desktop host exports a causal loop diagram as one self-contained web page, from the Export flow page button on its ribbon. Influence flows along the links as dots, delays hold it, and a heatmap shows where it piles up. Each page below is that export of one example. It works offline, and nothing you change in it is written anywhere.

  • Business philosophy: Whether a Business Philosophy study is applicable at a university of applied sciences: eighteen variables and ten loops.
  • Life insurance: The growth or decline of a life insurance company, redrawn from a public-domain U.S. Department of Energy figure: thirty-four variables and thirty-eight loops. Wikipedia's article on causal loop diagrams shows the figure as its example of reinforcing and balancing loops. Following a loop around tells which it is: a loop with an even number of negative links, none included, reinforces a change, and one with an odd number balances it. Reinforcing loops go with exponential growth or decline, balancing loops with levelling off at a plateau, and delays can make the system fluctuate, which is why finding the loops is a step towards the behaviour a system can show. Robert A. Taylor drew the figure in 2008 for the "Feedback" chapter of the Department of Energy's Introduction to System Dynamics. (Corresponding Wikipedia article can be accessed here)
  • Mental health: Why mental health at work stays out of sight: thirty variables and eight loops, a wicked problem drawn as structure alone.
  • On-call: Why an on-call rotation gets worse on its own.
  • Reference: Every construct the causal loop diagram understands, in one diagram.
  • UK cod population: What impacts the cod population in the UK: spawning, recruitment and mortality, carrying capacity as a tipping point, fishing activity and the communities it supports, prices and trade, and the regulation of the catch. Redrawn from a handwritten teaching figure that marks its own loops: forty-nine variables and thirty-five cycles, four of whose labels disagree with their arrows and twelve of which run through the tipping point and cannot be counted. Source: Kamath, A., Palmer, F. I., Manikarachchige, I. and Hutton, C. (2024). Causal Loop Diagram. National Centre for Research Methods online learning resource, University of Southampton. Diagram 7; accessed 31 October 2026.
  • Watch influence flow along the links, and see delayed links hold it.
  • Switch the heatmap between Backlog, Pressure, Throughput and Level.
  • Move the sliders of the external pressures and the dynamics: simulation speed, link strength, the length of a delay, the inertia of a variable and the dot density.
  • Click a variable to give it an outside push or a shock up or down.
  • Click a link to change its strength, add or remove its delay, or flip its polarity.
  • Hover or click a loop to trace it, and read its gain.
  • Follow the main variables over the last minute in the chart.
  • Pan, zoom and drag variables to another place.

The numbers come from a simple model of the diagram’s structure. They are not measurements.