Maths⏱ 5 min read

How to Calculate Expected Value and Use It to Make Better Decisions

Expected value is the foundation of rational decision-making under uncertainty. Here is how to calculate it, why people systematically get it wrong, and how to use it in real decisions.

Expected value (EV) is the probability-weighted average of all possible outcomes. It is the single most important concept in probability, used in gambling, insurance, finance, and everyday decision-making.

The Expected Value Formula

EV = sum of (Probability x Outcome) for all possible outcomes Simple example: coin flip bet You win £15 if heads, lose £10 if tails P(heads) = 0.5, P(tails) = 0.5 EV = (0.5 x +£15) + (0.5 x -£10) = £7.50 + (-£5.00) = +£2.50 Positive EV (+£2.50): you should take this bet. Negative EV: you should decline. Zero EV: mathematically fair (neither side has advantage)

Expected Value in Gambling

UK National Lottery (main draw): Ticket cost: £2.00 Probability of jackpot: 1 in 45,057,474 Average jackpot: ~£5,000,000 EV from jackpot alone: (1/45,057,474) x £5,000,000 = £0.111 Including other prizes: Match 5 + bonus ball (1 in 7,509,579): ~£1,000,000 expected share Match 5 (1 in 144,415): ~£1,750 Match 4 (1 in 2,180): £140 Match 3 (1 in 97): £30 Total EV of all prizes: approximately £0.45-£0.55 per £2 ticket EV = -£1.45 to -£1.55 per ticket (return of 22-28p per £1 spent) The lottery has approximately 25% return on investment. The remaining 75% funds prizes, operating costs, and good causes.

Expected Value in Insurance Decisions

Home contents insurance: Annual premium: £180 Probability of a claim in any year: approximately 3% Average claim value: £2,500 EV of insurance company payout: 0.03 x £2,500 = £75 Expected VALUE to you per year: £75 - £180 = -£105 Negative EV -- insurance is mathematically expensive. Yet it is still rational to buy because: - Risk aversion: losing £2,500 hurts more than gaining £2,500 helps - Large losses are not recoverable from monthly budget - Peace of mind has value Key insight: insurance is rational for large, unaffordable losses. For small losses (extended warranties, phone screen insurance): EV is usually so negative that self-insurance is almost always better.

Multi-Outcome Expected Value

Business decision: launch a new product Outcome A: Success (P=0.25) -- profit £200,000 Outcome B: Moderate success (P=0.40) -- profit £40,000 Outcome C: Break even (P=0.20) -- £0 Outcome D: Failure (P=0.15) -- loss £80,000 EV = (0.25 x 200,000) + (0.40 x 40,000) + (0.20 x 0) + (0.15 x -80,000) = 50,000 + 16,000 + 0 + (-12,000) = +£54,000 Positive EV: rational to proceed if the probabilities are accurate. The challenge: estimating probabilities is the hard part. Most people overestimate success probability (optimism bias) and underestimate failure probability (planning fallacy).
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