In 1977, Charles & Ray Eames made a fascinating short film, Powers of Ten, showing the relative scales in the universe: from picnic, to city, to solar system, to galaxy, and so on, back to cells, molecules, and atomic nuclei.
In the same spirit, Powers of Often will explore relative scales in time using real data and hard estimates: patterns of daily life, demographics, census data, generations, long term trends, forecasts, historical cycles, high-frequency finance, and solar cycles.
Questions Answered:
How do people across the world spend their time?
How do today's average days and weeks and months compare to our parents? Our grandparents? Our ancestors?
What are the long-term fundamental trends in the world today? 10 years ago? 100? 1000? 10,000?
How can a million years or a billion years ago be understood in today's terms?
What types of things happen often? What happens 10,000 times daily? 100,000? 1M? 1B?
What happens often now that didn't before? What will happen often soon that doesn't now?
What are the short-term implications of long-term trends?
What are people doing about these now? What did they do? What will they do?
How can we measure the quality of historical data?
How can we measure the quality of models and forecasts?