I am sure you have been following the news related to the conflict in the Middle East. The combat exchanges between Iran on one side and the United States and Israel on the other, have produced an interesting but I expect unnoticed asymmetry. While the focus is often on the missile counts and the intercept rates, there is a deeper underlying issue that gets no attention because it is fairly technical. Except that the associated concepts also impact your personal financial life.
Let me explain. The two sides, launching and defending missiles are attempting to solve two completely different problems. When Iran launches a missile, they selected the type, the timing, the form of approach and the targets. The question they were answering had a known structure: given these inputs, what effect is likely to result? Every variable was set before the missile was put on the launcher. The calculation is not trivial, but the logical direction is straightforward. Cause flows to effect.
The defense of that missile begins with none of that clarity. When sensors detect a heat signature and ground radars start building a track, the command system must answer a sequence of questions that cannot yet be answered with certainty. How many objects are inbound? Are they ballistic missiles, cruise missiles, or drones? Which radar returns are valid tracks and which are decoys? What is each object targeting? Which defensive layer should engage it, and in whose airspace does the engagement occur?
You will read about a 90 per cent missile intercept rate which means some do get through. That leakage is not really a failure of execution. It is an expected inability to answer all of those questions in almost real time in a conflict.
Consider all of those questions having to be answered when incoming volume grows fast enough that classification and assignment cannot be completed before the engagement window closes on some objects. A salvo is not merely more missiles. It is a deliberate attempt to overwhelm the inverse side of the defensive equation.
Different problems
These are two structurally different problems. The attacker reasons from cause to effect: given what I am sending, what damage results? The defender reasons from effect back to cause: given what my sensors are showing, what is actually incoming, and how should scarce defensive capacity be allocated before certainty is available? The first is what is referred to as a forward problem. The second is an inverse problem.
The distinction matters because inverse problems are not just harder in degree. They are harder in kind. A known cause produces a predictable effect. A single observed effect, however, is typically consistent with multiple possible causes, and narrowing those possibilities to the correct one, under time pressure and with incomplete data, is a categorically different challenge.
The same symptoms can point to different diseases. The same wreckage can be the result of different failure sequences. The same radar return can belong to a ballistic missile or a drone. Identifying the true cause from observable evidence is rarely a matter of applying more computing power to the same question. It requires a different method of reasoning altogether.
A structural engineer designing a bridge faces a forward problem. The materials are specified, the load is known, the span is fixed, and the question is whether the structure will hold. The investigator called to examine a bridge that has already collapsed starts from the other end. The failure is visible; the cause is not. Was the material defective? Did the load exceed the design limit? Did a maintenance failure compound a manufacturing flaw? The evidence is consistent with several possible explanations, and distinguishing between them requires inference rather than calculation. The same two problems exist for a plane flying to a destination compared to a plane crash investigation.
A physician diagnosing a patient is another example of the interplay between these two concepts. The textbook version of medicine runs forward: given this disease, expect these symptoms. Clinical practice runs the other way: given these symptoms, identify the disease. The same fever, fatigue, and joint pain are consistent with a dozen diagnoses. Treatment prescribed against the wrong one can have significant consequences.
Personal finance
The forward problem is a calculation. The inverse problem is a diagnosis. Now that you’ve got a grasp of the concepts lets transfer the discussion directly onto your personal financial situation. Often time the failure to respect these concepts explains more about people’s poor financial outcomes than bad markets or insufficient income does.
Personal finance contains both kinds of problem, and most people spend their entire financial lives focused almost exclusively on the forward one.
The forward problem in personal finance is the part that looks like planning. You know your income, your debts, your savings rate, and roughly how long you have before retirement. A financial adviser, or a decent spreadsheet, can take those inputs and project where you will end up. Paying down debt works this way and so does retirement modeling. The forward problem is also used in working out how large an emergency fund you need. These are useful exercises, and the tools available to run them have never been more accessible. The problem is not the quality of the calculation. The problem is that the calculation is only as good as what you feed into it and what you feed into it requires a diagnosis.
Consider how most people discover their actual risk tolerance. Your financial advisor will give you a questionnaire but the real answer is often from your lived experience. A person who described themselves as comfortable with volatility, and built a portfolio on that self assessment, sits down one morning and finds that their investments have dropped 30 per cent in a month. What they do next is the data point that matters. Some people hold. Some people sell everything and cannot explain why. The questionnaire captured what the person believed about themselves in a calm moment. The crash revealed something different. Those are not two versions of the same measurement. They are measurements of entirely different things.
This is the inverse problem in personal finance. The hidden state, the real risk tolerance, the actual capacity to absorb financial stress without making destructive decisions, cannot be read off a form. It has to be inferred from behavior, and behavior under pressure is the only evidence that is fully reliable. A financial plan built on the wrong reading of that hidden state will not reveal its flaw during the calm periods. It will reveal it at exactly the moment the person most needs the plan to hold.
Risk tolerance is the most visible example but it is not the only one. Liquidity pressure works the same way. A person can appear financially stable on paper, carrying adequate savings and manageable debt, while running a level of liquidity risk that only becomes clear when an unexpected expense arrives and the response is to reach for a credit card because their money is tied up in say property investments.
The gap between income stability and income certainty, the difference between a job that has been secure for ten years and a job that is contractually guaranteed, is another variable that a spreadsheet does not distinguish but that shapes every forward projection built on top of it.
None of these are calculable directly. They have to be inferred from the available evidence, exactly as a physician infers a diagnosis before prescribing treatment. And just as a physician who prescribes for the wrong condition does not merely miss the target but can actively worsen it, a financial plan built on an incorrect reading of the person’s actual situation can fail in ways that are worse than having no plan at all. The structure of the plan creates a false confidence that the underlying diagnosis does not support.
The sequence this demand is straightforward, even if it requires more discipline than most financial conversations allow. The diagnosis comes first. What is actually driving the current pattern? What does the behavior, not the stated preference, reveal about the real constraints and vulnerabilities? Only once that question has been addressed as honestly as the evidence allows does it make sense to run the forward projections. And because both the diagnosis and the projection carry uncertainty, the plan needs resilience built into it. Diversification is the most practical expression of that principle. It does not improve the forecast. It limits the damage when the forecast is wrong.
There are financial missiles coming at you all the time. Consider solving for the inverse problem so that you don’t get a direct hit.
Ian Narine is a financial consultant who works to differentiate signal from noise. Please send your comments to ian@iannarine.com
