A data investigation

Fact & Figure

Debunking money myths with data.


Financial “common sense” spreads through headlines, group chats, and social feeds — and it is rarely checked against evidence. This investigation tests three of the most repeated money myths against real economic data, examines who they quietly harm, and asks what actually predicts financial security.

3 myths tested · 4 interactive datasets · 3 public data sources
Begin reading

The premise

We repeat money myths as if they were laws of nature. The data says otherwise.

Each myth below sounds reasonable — and each one shifts responsibility onto individuals while obscuring the structural forces that shape financial outcomes. We take them one at a time, show the evidence, and deliver a verdict.

  1. 01 “The poor just don’t save enough.” Saving · Distribution of income & spending
  2. 02 “Anyone can get rich through investing.” Investing · Wealth mobility & access
  3. 03 “Economic growth benefits everyone.” Growth · Redistribution across countries

How to read this piece. Charts are interactive — hover for exact figures, and use the controls to switch views or starting positions. Every section ends with a plain-language verdict.

Part One · The setting

Advice has never been louder. Literacy has never been lower.

Before testing individual myths, look at the environment that breeds them: an explosion of financial advice running alongside a measurable decline in financial literacy.

Search-term prominence for financial topics by year, paired with financial-literacy scores by generation.

Key insights

  • The volume of financial-advice search terms has grown steeply over the past two decades.
  • As advice became more abundant, measured financial literacy fell across generations.
  • Popular search terms shifted from traditional banking toward more speculative bets.
  • Gen Z posts the lowest literacy scores despite the greatest access to information.
The takeaway Financial advice has never been more abundant — and financial literacy has never been lower. Volume is not the same as understanding.

Myth No. 01 · Saving

“The poor just don’t save enough.”

We examine savings across income levels — and how the cost of living consumes a very different share of income depending on where a household sits.

Switch between income, consumption, savings, and consumption-to-income ratio. Source: U.S. Bureau of Economic Analysis, distributional PCE.
Verdict · Not supported The lowest income quintile consistently spends more than it earns on necessities. Negative savings persist across economic cycles — a structural limitation, not a behavioral failing.

Myth No. 02 · Investing

“Anyone can get rich through investing.”

How does wealth actually move between quintiles? We trace mobility by starting position, stock-ownership rates, and the gap between theoretical and realized returns.

Explore wealth mobility, stock ownership, returns, and structural barriers by quintile. Source: Federal Reserve Survey of Consumer Finances, 2022.
Verdict · Not supported Starting wealth is the strongest predictor of where a household ends up. Moving from the bottom quintile to the top is rare, and identical market returns are eroded by fees, forced withdrawals, and access gaps further down the distribution.

Myth No. 03 · Growth

“Free-market economic growth benefits all citizens.”

Using the Standardized World Income Inequality Database, we compare economic output with how effectively each country’s tax-and-transfer system redistributes income.

Redistribution effectiveness by country — the share of market inequality reduced by taxes and transfers. Source: SWIID v9.8.
Verdict · Not supported Countries with similar growth show dramatically different redistribution outcomes — and in several, tax-and-transfer systems actually increase inequality. Growth alone decides little about who benefits.

The finding · What actually works

What genuinely predicts financial mobility

A final analysis uses causal inference to identify factors that meaningfully contribute to household financial mobility — an evidence-based alternative to myths of personal responsibility that obscure systemic barriers.

The full hypothesis test, methodology, and results are documented in the written report (PDF) and the accompanying Jupyter notebook.