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🎲 Risk vs Uncertainty – Understanding the Difference

Risk and uncertainty are often used interchangeably but mean fundamentally different things. Risk is measurable - you can calculate probabilities and outcomes (rolling dice, insurance). Uncertainty is immeasurable - unknown unknowns where you can't even calculate probabilities (pandemics, technological disruption, black swan events). Understanding this distinction helps make better financial decisions: manage risks through diversification and insurance, but prepare for uncertainty through resilience, flexibility, and buffers.

Key Point: Risk: known probabilities, measurable outcomes. Example: dice roll (1/6 chance each number), insurance (actuarial tables calculate probabilities), diversified investment portfolio (historical returns suggest likely range). Can quantify, manage through math, diversification, insurance. Uncertainty: unknown probabilities, unknowable outcomes. Example: COVID-19 pandemic impact, disruptive technology (Uber on taxis), geopolitical events, personal health crisis, job market changes. Cannot quantify - don't know what you don't know. Markets demonstrate difference: can measure historical volatility (risk) but cannot predict black swan events (uncertainty). Property market: can measure long-term trends but cannot predict Wellington earthquake timing. Personal income: employee has measurable risk (redundancy ~5% annually), self-employed has uncertainty (client loss, market changes, health). Protection against risk: diversification, insurance, calculated hedging. Protection against uncertainty: emergency fund (6-12 months expenses), multiple income streams, skills development, adaptability, conservative debt levels, avoiding concentration (single employer, single property, single investment). NZ contractor scenario: high income ($120k) but COVID creates uncertainty - income disappears unexpectedly, fixed expenses continue, learns importance of buffers for unknowable events. Risk awareness checklist: identify measurable risks and insure/diversify, acknowledge uncertainty and build resilience, avoid false precision (thinking you can predict uncertainty), maintain flexibility, don't over-optimize for predictable while ignoring unpredictable.

What Is Risk?

Definition of Risk:

Risk is variation in outcomes where probabilities are known or estimable. You can measure, calculate, and quantify risk using historical data and mathematical models.

Characteristics of Risk:

  • Measurable: Can calculate probabilities
  • Known outcomes: Possible results are defined
  • Historical data exists: Past provides guide
  • Can be priced: Insurance premiums, investment returns
  • Manageable: Diversification, hedging, insurance

Examples of Risk:

1. Dice roll:

  • Known outcomes: 1, 2, 3, 4, 5, 6
  • Known probabilities: 1/6 (16.67%) each
  • Perfect measurable risk

2. Car insurance:

  • Insurance companies have actuarial tables
  • Know accident rates by age, location, vehicle type
  • Can calculate expected claims
  • Set premiums accordingly

3. Investment returns:

  • Historical stock market returns: ~7-10% annually
  • Standard deviation: ~15-20% (volatility)
  • Can estimate likely range of returns
  • Not certain, but probabilistic

What Is Uncertainty?

Definition of Uncertainty:

Uncertainty is situations where not only outcomes but probabilities themselves are unknown. You don't know what you don't know - true "black swans."

Characteristics of Uncertainty:

  • Immeasurable: Cannot calculate probabilities
  • Unknown outcomes: Don't know full range of possibilities
  • No historical precedent: Never happened before
  • Cannot be priced: Insurance unavailable or inadequate
  • Requires resilience: Must absorb shocks, adapt

Examples of Uncertainty:

1. COVID-19 pandemic (2020):

  • No one predicted timing, spread, severity
  • No historical data on global lockdowns
  • Economic impact unknowable in advance
  • Changed work, travel, behavior unexpectedly

2. Technological disruption:

  • Uber/Lyft upended taxi industry
  • No historical data predicted this
  • Taxi medallion owners lost massive value overnight
  • Similar: Netflix vs Blockbuster, Amazon vs retail

3. Personal health crisis:

  • Serious illness diagnosis
  • No way to predict when or if
  • Can't calculate probability for individual
  • Insurance helps but can't eliminate impact

Key Quote:

"Risk is like poker where you know the odds. Uncertainty is like poker where you don't even know all the cards in the deck."

📈 Markets, Property, and Income

Why Markets Can Be Measured but Not Predicted

Market Risk (Measurable):

  • Historical returns: NZ shares averaged 7-9% annually over decades
  • Volatility: Standard deviation ~15-20%
  • Can estimate: 95% of years returns between -10% and +30%
  • This is measurable risk - variation around known mean

Market Uncertainty (Immeasurable):

  • 1987 crash: 20%+ decline in single day (no warning)
  • GFC 2008: 50%+ decline (few predicted timing/severity)
  • COVID crash 2020: 35% decline in weeks
  • These are uncertainty - unpredictable black swans

How Investors Handle Both:

For risk (measurable volatility):

  • Diversification across companies, sectors, countries
  • Long investment horizon (time reduces impact of volatility)
  • Asset allocation based on risk tolerance

For uncertainty (black swans):

  • Never invest money needed in next 5 years
  • Maintain emergency fund separate from investments
  • Don't use leverage (borrowed money) - amplifies losses
  • Accept that crashes will happen but timing unknowable

Property Market Example

Property Risk (Measurable):

  • Historical Auckland house price growth: ~7% annually long-term
  • Year-to-year variation: Some years +15%, others -5%
  • Can measure this volatility
  • Rental yields: 3-5% historically

Property Uncertainty (Immeasurable):

  • Wellington earthquake: No one knows when, but could devastate values overnight
  • Government policy changes: Tax law changes, zoning, subsidies - unpredictable
  • Economic shocks: Global recession, pandemic affecting demand
  • Neighborhood changes: Infrastructure, demographics shifts

Practical Implications:

Managing risk:

  • Diversify: Don't put all wealth in one property
  • Insurance: Covers fire, earthquake (partially)
  • Location research: Understand local market trends

Managing uncertainty:

  • Don't over-leverage: Keep loan-to-value reasonable
  • Buffer in budget: Don't max out what bank will lend
  • Alternative plans: Can you afford if must sell? Rent out?
  • Accept: Cannot predict earthquakes, policy changes

Personal Income Risk and Uncertainty

Employee Income:

Risk (measurable):

  • Redundancy/layoff probability: ~5% annually (varies by industry)
  • Average time to find new job: 3-6 months
  • Salary progression: Predictable based on experience

Uncertainty (immeasurable):

  • Company bankruptcy (employer disappears)
  • Industry disruption (entire sector becomes obsolete)
  • Health issues preventing work
  • Skill obsolescence from technology

Self-Employed/Contractor Income:

Higher uncertainty:

  • Client loss: Can happen anytime, any reason
  • Market downturns: Discretionary spending cut first
  • Competition: New entrants, price pressure
  • Regulatory changes: Affect business viability
  • Personal factors: Illness, burnout, life changes

Example: IT contractor

  • Risk: Some months busy, others slower (measurable seasonal pattern)
  • Uncertainty: Major client suddenly terminates contract, pandemic stops all contracts, new technology makes skills obsolete

🛡️ Protection Strategies and NZ Scenario

How to Protect Against Uncertainty

1. Emergency Fund (Critical):

  • Purpose: Buffer against unknowable events
  • Amount: 6-12 months essential expenses
  • Employees: 3-6 months often sufficient
  • Self-employed: 6-12 months recommended (higher uncertainty)
  • Location: High-interest savings (accessible, not invested)

2. Diversification:

  • Income sources: Don't rely on single employer/client
  • Investments: Spread across asset classes, countries
  • Skills: Develop multiple revenue-generating abilities
  • Relationships: Network across industries

3. Conservative Debt Levels:

  • Fixed expenses (mortgage, loans) create rigidity
  • High debt = vulnerable to income shocks
  • Keep debt serviceability comfortable not maximal
  • Don't borrow assuming best-case scenarios

4. Skills and Adaptability:

  • Continuous learning (technology, market changes)
  • Transferable skills valuable across industries
  • Network maintenance (opportunities come through people)
  • Side projects/income streams (test alternatives)

5. Insurance (Covers Some Uncertainty):

  • Health/medical insurance
  • Income protection (if ill/injured)
  • Life insurance (family protection)
  • Property insurance (earthquake, fire)
  • Limitation: Only covers defined events, not all uncertainty

6. Avoid Concentration:

  • Single employer (job loss = 100% income loss)
  • Single property (all wealth in one asset)
  • Single investment (company bankruptcy)
  • Single country (geopolitical risk)

NZ Scenario: Mike, Self-Employed Contractor

Background (Pre-COVID):

  • Mike: 38, IT contractor in Auckland
  • Income: $120,000/year ($10,000/month average)
  • Steady work 2015-2019 (5 years of reliability)
  • Lifestyle: $7,000/month expenses
  • Mortgage: $450,000 ($2,500/month)
  • Savings: $15,000 emergency fund

Mike's Risk Assessment (Pre-COVID):

  • Felt secure - 5 years consistent work
  • Multiple clients (3 main, several small)
  • Emergency fund = ~2 months expenses
  • Thought: "This is manageable risk"

March 2020 - Uncertainty Strikes:

  • COVID-19 lockdown announced
  • All 3 main clients pause contracts immediately
  • Small clients cancel projects
  • Income drops from $10k/month to $500/month (near zero)

Mike's Situation:

  • Fixed expenses: $7,000/month continue
  • Emergency fund: $15,000 = 2 months only
  • No "slow decline" to adjust - immediate stop
  • This was uncertainty, not risk (couldn't have predicted/measured)

Mike's Actions:

  • Month 1: Used emergency fund, applied for wage subsidy
  • Month 2: Mortgage holiday (6 months available), cut non-essential spending
  • Month 3-6: Took any work available (much lower rates), applied for permanent roles
  • Month 7: Accepted permanent job at $95k (lower than contracting but stable)

What Mike Learned:

Mistook uncertainty for risk:

  • Thought income variation was risk (sometimes $8k, sometimes $12k month)
  • Measured this and felt comfortable
  • Didn't consider uncertainty (income could go to zero)

Insufficient buffer:

  • 2-month emergency fund inadequate for true uncertainty
  • Self-employed needs 6-12 months (learned hard way)
  • Fixed high expenses (mortgage) created vulnerability

Concentration risk:

  • All income from contracting (no side income)
  • All clients in same sector (all cut spending simultaneously)
  • Should have maintained diverse income sources

Mike's New Approach (Post-COVID):

  • Permanent job provides base income ($95k)
  • Building 12-month emergency fund (~$70k goal)
  • Developing online course (passive income stream)
  • Paying down mortgage faster (reduce fixed obligations)
  • Accepts: Future uncertainty unknowable, must build resilience

✅ Risk Awareness Checklist

Understanding Your Exposure:

Income Assessment:

  • ☐ Identify income sources (salary, contracts, investments, side hustles)
  • ☐ How many sources? (1 = high concentration)
  • ☐ What % of income from largest source? (>80% = risky)
  • ☐ How quickly could income disappear? (immediate vs gradual)
  • ☐ Job security: Permanent vs contract vs self-employed
  • ☐ Industry stability: Essential vs discretionary sector

Fixed Obligations:

  • ☐ List all fixed monthly costs (mortgage, rent, loans, insurance)
  • ☐ Total fixed obligations: $____/month
  • ☐ As % of current income: ____%
  • ☐ Could you reduce these if income dropped? Yes / No
  • ☐ Debt-to-income ratio: ____% (under 30% preferred)

Emergency Reserves:

  • ☐ Current emergency fund: $____
  • ☐ Months of expenses covered: ____ months
  • ☐ Target based on employment type:
    • Permanent employee: 3-6 months
    • Contract worker: 6-9 months
    • Self-employed: 9-12 months
  • ☐ Funds accessible without penalty? Yes / No

Risk vs Uncertainty Identification:

Measurable Risks (can quantify):

  • ☐ Job loss in stable industry (5-10% annual probability)
  • ☐ Car accident (insurance actuarial data available)
  • ☐ Investment volatility (historical standard deviation)
  • ☐ Rental income variation (typical vacancy rates)

True Uncertainty (cannot quantify):

  • ☐ Industry disruption (technology, regulation)
  • ☐ Health crisis (personal or pandemic)
  • ☐ Economic shock (recession, crisis)
  • ☐ Geopolitical events
  • ☐ Natural disasters

Protection Strategies in Place:

Against Risk:

  • ☐ Income diversification (multiple clients/employers)
  • ☐ Investment diversification (across asset classes)
  • ☐ Insurance coverage (health, income protection, life, property)
  • ☐ Skills development (remain marketable)

Against Uncertainty:

  • ☐ Adequate emergency fund (6-12 months)
  • ☐ Conservative debt levels (can afford if income drops)
  • ☐ Flexible lifestyle (can cut expenses if needed)
  • ☐ Adaptable skills (transferable across industries)
  • ☐ Strong network (opportunities come through relationships)
  • ☐ Multiple income potential (can pivot if needed)

Red Flags:

  • ☐ Single income source (no diversification)
  • ☐ Emergency fund < 3 months expenses
  • ☐ Debt service > 40% of income
  • ☐ All wealth in single asset (one property, one stock)
  • ☐ Assuming "this time is different" (historical trends will continue)
  • ☐ Maximal leverage (borrowing to limit)
  • ☐ No insurance despite dependents

Action Plan:

  • ☐ Calculate true emergency fund need
  • ☐ Set up automatic savings to build buffer
  • ☐ Review insurance coverage (adequate?)
  • ☐ Assess income concentration (too reliant on one source?)
  • ☐ Consider debt reduction (lower fixed obligations)
  • ☐ Develop backup income skills/streams
  • ☐ Build professional network
  • ☐ Avoid over-optimization (leaves no margin for error)

Final insight: Risk vs uncertainty: risk is measurable (dice roll, insurance probabilities, market volatility), uncertainty is immeasurable (pandemics, disruption, black swans). Risk can be quantified and managed through diversification, insurance, hedging. Uncertainty cannot be predicted - must build resilience through emergency funds (6-12 months), multiple income streams, conservative debt, adaptability. Markets demonstrate both: can measure historical volatility (risk) but cannot predict crashes (uncertainty). Property: can measure price trends but not earthquake timing or policy changes. Personal income: employees have measurable layoff risk (~5% annually), self-employed face higher uncertainty (client loss, market changes). Protection strategies: emergency fund critical (larger for self-employed), diversify income/investments/skills, avoid concentration, keep debt conservative, maintain flexibility. Mike contractor scenario: earned $120k, felt secure with 5-year track record, had only 2-month emergency fund. COVID-19 struck (uncertainty) - income dropped to near-zero immediately, learned hard way that self-employed need 6-12 month buffers, took permanent job for stability, now building resilience. Risk awareness checklist: assess income sources, measure fixed obligations, calculate emergency fund adequacy, distinguish risk from uncertainty, implement protection strategies. Don't confuse measurable variation (risk) with unknowable events (uncertainty) - both require different approaches.

🎯 Test Your Knowledge

Quiz on Risk vs Uncertainty

1. The main difference between risk and uncertainty is:
Risk is worse than uncertainty
Risk is measurable with known probabilities, uncertainty is immeasurable
They mean the same thing
Uncertainty can be insured, risk cannot
2. Which is an example of measurable risk?
COVID-19 pandemic
Car insurance claim probability
Technology disruption
Earthquake timing
3. Market volatility (yearly variation) is:
Measurable risk - can quantify with standard deviation
Uncertainty - completely unpredictable
Not important for investors
Always avoidable
4. Market crashes like 2008 GFC represent:
Measurable risk
Uncertainty - timing and severity unpredictable
Normal volatility
Preventable events
5. Recommended emergency fund for self-employed:
1-2 months expenses
3 months expenses
6-12 months expenses
Not necessary
6. Diversification primarily protects against:
Measurable risk (specific company/sector failures)
All uncertainty (including black swans)
Inflation
Nothing - doesn't work
7. High debt levels make you vulnerable to:
Only market risk
Both risk and uncertainty - reduces flexibility
Nothing if income is stable
Only inflation
8. Self-employed income has:
Same risk as employment
Higher uncertainty (client loss, market changes unpredictable)
Lower risk than employment
No risk or uncertainty
9. Insurance is best at covering:
All uncertainty
Specific measurable risks (car accidents, fire, health)
Black swan events
Market crashes
10. Mike contractor's main mistake was:
Having too large an emergency fund
Confusing measurable income variation (risk) with unknowable events (uncertainty)
Working too much
Saving too much

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