How cost-effective are efforts to detect near-Earth-objects?
Toby Newberry (Future of Humanity Institute, University of Oxford)
GPI Technical Report No. T1-2021
Near-Earth-objects (NEOs) include asteroids and comets with orbits that bring them into close proximity with Earth. NEOs are well-known to have impacted Earth in the past, sometimes to catastrophic effect.2 Over the past few decades, humanity has taken steps to detect any NEOs on impact trajectories, and, in doing so, we have significantly improved our estimate of the risk that an impact will occur over the next century. This report estimates the cost-effectiveness of such detection efforts. The remainder of this section sets out the context of the report...
Other working papers
Doomsday and objective chance – Teruji Thomas (Global Priorities Institute, Oxford University)
Lewis’s Principal Principle says that one should usually align one’s credences with the known chances. In this paper I develop a version of the Principal Principle that deals well with some exceptional cases related to the distinction between metaphysical and epistemic modality. I explain how this principle gives a unified account of the Sleeping Beauty problem and chance-based principles of anthropic reasoning…
The case for strong longtermism – Hilary Greaves and William MacAskill (Global Priorities Institute, University of Oxford)
A striking fact about the history of civilisation is just how early we are in it. There are 5000 years of recorded history behind us, but how many years are still to come? If we merely last as long as the typical mammalian species…
Calibration dilemmas in the ethics of distribution – Jacob M. Nebel (University of Southern California) and H. Orri Stefánsson (Stockholm University and Swedish Collegium for Advanced Study)
This paper presents a new kind of problem in the ethics of distribution. The problem takes the form of several “calibration dilemmas,” in which intuitively reasonable aversion to small-stakes inequalities requires leading theories of distribution to recommend intuitively unreasonable aversion to large-stakes inequalities—e.g., inequalities in which half the population would gain an arbitrarily large quantity of well-being or resources…