The renewal notice arrives in the same fortnight as the school fee, the car service and a wedding in Nagpur. Somebody at the table does the sum out loud: eleven years, ₹14,000 a year, one and a half lakh rupees gone, and not one rupee has ever come back. Nobody in the house has been ill. Nobody has died. The policy has, in the plainest sense available, done nothing at all for eleven years, and there is a fixed deposit in the same bank that at least shows a number going up. The arithmetic is right. The conclusion that usually follows it — that the money has been wasted and this is the year to stop — rests on a comparison the household has not noticed it is making: it is comparing what the policy produced against what a savings product would have produced, when the policy was never bought to produce anything. It was bought to make one particular future survivable, and the eleven quiet years are not evidence against it. They are the outcome it was designed around.
The inverter cost money, takes up space by the shoe rack, needs distilled water topped up, and in a good year the power does not go for more than a few minutes. Judged as an appliance — what did it give me this year — it is the worst thing in the house. The fridge chilled things every day. The inverter chilled nothing. Nobody concludes from this that the fridge was the better purchase, because everybody understands intuitively that the inverter is not competing with the fridge.
A protection decision is not competing with the growing thing next to it. It is bought against a state of the world, and it is supposed to sit there producing nothing in every year that state does not arrive. The comparison that feels natural — this line went up, that line did nothing — is the comparison that has no meaning here.
Why the feeling gets stronger the longer it works
There is a cruel structure to this. Every quiet year adds a premium to the visible column and adds nothing to the invisible one, so the sense of waste does not stay flat — it accumulates. In year two the sum is ₹28,000 and easy to shrug off. In year eleven it is ₹1,54,000 and it feels like a serious amount of money, because it is. Meanwhile the actual need has usually been moving in the same direction: over those eleven years the household has taken a home loan, added a second child and reduced the number of earners from two to one. So the pressure to cancel is largest at roughly the moment the cover matters most, and it is largest for the arithmetical reason that the protection has been working, uninterrupted, for eleven years.
The two numbers that decide it, and the one that does not
A loss has two properties and people reliably worry about the wrong one. Frequency is how often it happens. Severity is what it costs when it does. Attention follows frequency, because frequency is what you experience — a phone screen cracks, a bike is scratched, a bill is higher than expected, and these are the losses that are vivid. Protection, however, is only ever worth its price against severity, and specifically against the severity you could not absorb. Which is why the extended warranty offered at the till and a large, dull hospitalisation policy feel like the same kind of purchase and sit in opposite corners of the same grid.
| Happens often | Happens rarely | |
|---|---|---|
| Costs little | Pay it and forget it. There is nothing here worth insuring — the premium plus the insurer's costs will exceed what you would claim, and the loss is one your monthly budget already absorbs | Ignore it entirely. This is the quadrant that produces the most cluttered financial lives, because each individual cover sounds sensible and none of them changes anything |
| Costs a great deal | This is not an insurable risk, it is a lifestyle or a business problem. No insurer will price it for long, and if one does, the premium will approach the loss | The only quadrant where transferring the risk to somebody else is doing real work. Rare enough that the premium is small relative to the loss, severe enough that you cannot fund it yourself |
The break-even that almost nobody works out
You can put a number on the trade, and it is worth doing once because the number is usually much smaller than people expect. Ignoring the time value of money on both sides, a pure protection contract is a fair bet if the chance of the covered event over the whole term is greater than the total premiums divided by the amount paid out.
- Total premiums
- The level annual premium multiplied by the number of years the cover runs
- Amount payable
- What the contract pays if the covered event occurs — the sum assured, in a life policy
Example: ₹14,000 a year for 30 years against ₹1 crore of cover: ₹4,20,000 ÷ ₹1,00,00,000 = 4.2%. Above a 4.2% chance across three decades the contract is favourable in plain rupees; below it, unfavourable.
None of this settles the product question — how much life cover a household needs, why bundling protection with investment does both badly, and what a health policy's exclusions actually say are all worked through in the Market Basics track and are not repeated here. What this lesson is trying to change is narrower and comes earlier: the instinct that a run of quiet years is information about whether the decision was sound. It is not. It is information about which years you happened to live through.
A household holds a pure protection policy costing ₹14,000 a year against ₹1 crore of cover, and has made no claim in eleven years. Which statement about those eleven years is correct?
Gyarah saal se ₹14,000 har saal — kul ₹1,54,000 nikal chuke aur wapas ek rupaya nahi aaya. Hisaab bilkul sahi hai. Par peeche jo khada hai woh ₹1 crore hai, yaani jitna abhi tak diya uska lagbhag 65 guna — aur woh number kisi statement pe nahi chhapta. Inverter se aap yeh nahi poochte ki is saal kitna kamaya; poochte ho ki bijli gayi thi tab chala ya nahi. Gyarah shaant saal is faisle ki galti nahi, uska design hain. Sawaal sirf ek hai: woh cheez ho jaaye toh ghar us kharche ko apne bal pe utha lega ya poora plan hi khatam ho jaayega.
- The ordinary experience of a correct protection decision and a wasteful one is identical: you pay, and nothing happens.
- The felt waste accumulates every quiet year, so the pressure to cancel is usually greatest after the cover has worked longest.
- Attention follows frequency; protection is only worth its price against severity you could not absorb.
- Break-even probability is total premiums divided by the amount payable, and it is usually a small number.
- Protection is negative expected value in rupees by construction, and can still be right — because a loss that ends the plan is not just a bigger version of one that dents it.
Mark it done to track your progress through the curriculum.
Common questions
Short, direct answers to what people ask about this topic.
- why does term insurance have no maturity value
- Because a term plan is a pure protection contract — the premium buys a payout only if the insured person dies during the term, and nothing is set aside to be handed back if they do not. That is exactly what makes it cheap: a policy that also returns money has to fund that return out of your own premium, so the same cover costs considerably more. A run of years with no claim is the contract behaving as designed, not the contract failing.
- the two properties of a loss that decide whether it is worth insuring are
- Frequency — how often it happens — and severity, what it costs when it does. Attention naturally follows frequency, because small repeated losses are the ones you actually experience, but transferring a risk to an insurer only earns its price against severity you could not absorb yourself. A loss your monthly budget already swallows is cheaper to pay than to insure, since the premium has to cover the insurer’s costs on top of the claim.
- how to calculate the break even probability of a term insurance policy
- Divide the total premiums payable over the whole term by the sum assured. A level ₹14,000 a year for 30 years is ₹4,20,000 of premiums against ₹1 crore of cover, so the break-even is ₹4,20,000 ÷ ₹1,00,00,000 = 4.2% — above roughly that chance of the covered event across the term, the contract is favourable in plain rupees. The sum ignores the time value of money on both sides and the insurer’s own costs, so read it as a sense of scale rather than a valuation.
- is buying insurance a bad deal mathematically
- In plain rupees, yes — protection is negative expected value by construction, because an insurer must collect more in premiums than it pays out in claims plus its own costs, or it would not survive. That does not settle whether a particular cover makes sense, because a loss large enough to end a household’s plan is not simply a bigger version of one that dents it. Where the loss is one you could comfortably absorb, though, the same negative expected value is just a bad deal with nothing bought in exchange.
- is it worth continuing a term plan if I have never claimed
- A run of years without a claim carries almost no information about that question, because a contract written against a rare event produces nothing in the overwhelming majority of years by design. What the answer turns on is the exposure that still exists today: whether anyone would be financially damaged if the insured person died, and whether that loss is one the household could fund out of what it already holds. Those are questions about the current balance sheet, not about the quiet years behind it.