The absence of official government data during shutdowns creates a 'data void' that heightens economic anxiety. Economists and the public are forced to over-rely on anecdotal evidence, like conversations with Uber drivers, which makes the economy feel more volatile and difficult to assess accurately.

With just three weeks of intense, focused research on epidemiology, writer Tomás Pueyo became a key advisor to governments during the COVID-19 pandemic. His experience reveals that dedicated individuals reading primary sources can quickly surpass the knowledge available within official channels, exposing significant gaps in institutional expertise.

NYC solved the mystery of a city-wide maple syrup smell by mapping 311 complaints and overlaying wind-pattern data. This demonstrates how a system for logging individual grievances can become a powerful data-analytics tool for large-scale, seemingly unsolvable urban problems.

Nonprofits occupy a unique space. While academia pursues discovery and industry seeks revenue, nonprofits can fund "infrastructure" projects like large, open-access datasets. These efforts accelerate the entire ecosystem, a goal neither academia nor industry is incentivized to pursue alone.

When facing a crisis like COVID, waiting for perfect data before acting is not a 'safe' option. The status quo of inaction often carries its own significant, accumulating costs—like student learning loss—that must be factored into the decision.

Rockford, Illinois, eliminated veteran homelessness not with broad policy, but by creating a real-time, name-by-name census of every homeless person. Stakeholders then coordinated on each individual case, which revealed the systemic leverage points needed for macro change. You can't help a million people until you understand how to help one.

The massive Cell-by-Gene atlas began as a simple annotation tool to solve a workflow bottleneck for labs. Its utility drove widespread adoption, which unintentionally created a community-driven, standardized data format that became a foundational resource for the field.

The key public health failure during the pandemic was not initial uncertainty, but the systemic inability to execute rapid experiments. Basic, knowable questions about transmission, masks, and safe distances went unanswered because of a failure to generate data through randomized trials.

When formal data is unavailable, leaders must innovate. A Nestlé client in Ghana determined powdered milk market share by visiting open-air markets and counting how many of their brand's discarded cans were being repurposed as measuring scoops by local vendors.