Episode Details

Scientists at Scripps Institution of Oceanography have deployed advanced sensors on San Diego’s coastal cliffs to predict collapses — successfully forecasting five major failures with hours or days’ notice. Using buried tiltometers that detect microscopic ground shifts, they’ve mapped how cliffs creep toward the ocean and identified warning signs like surface cracking. Their data reveals a stark link between rainfall and collapse risk: over an inch of rain raises the chance of a major failure to 70% within four weeks, dropping to 20% without rain. Inspired by the 2019 tragedy that claimed three lives, the team is now racing to turn this tech into a public alert system — with plans to expand monitoring across California to save lives and protect beaches.

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