Jen Loving, leader of the homelessness organization Destination: Home, argues that homelessness is predictable and can be prevented rather than just managed after it happens. She describes Silicon Valley's prevention system, launched in 2017, which has helped over 44,000 people stay in their homes, and calls for a national effort to replicate it.
- Loving recalls Tanya, a new mother who lost her job and home after pregnancy complications and rode the 24-hour Hotel 22 bus with her baby for two days.
- She cites a record 771,000+ people without homes in America in 2024, an 18 percent increase in one year.
- Loving argues homelessness has predictable warning signs, such as a missed job, a family death, or a medical emergency, so intervention can happen sooner.
- Destination: Home launched a homelessness prevention system in Silicon Valley in 2017 and has helped over 44,000 people remain housed.
- The approach uses a fast vulnerability assessment looking beyond finances, followed by targeted help such as paying back rent and working with landlords.
- Rose, a single mom facing eviction after a layoff, avoided homelessness with rent assistance and an ongoing caseworker.
- A University of Notre Dame evaluation found the approach keeps people housed and saves the public $2.47 for every dollar invested in prevention.
- Loving launched Right at Home, a national movement now replicating the model in 10 rural, urban, and tribal communities.
Tanya's Story at the Shelter
Record Homelessness Numbers Rising
Why Prevention Matters
Silicon Valley's Prevention System
How the Support Works
Evidence and Cost Savings
Launching Right at Home
Closing Call to Action
More TED Talks transcripts
- Why It’s So Hard to Listen When You Disagree | Emily Kasriel | TED
- Why We Should Design Cities Like Disney | Zach DeBoer | TED
- Inside the “Play Labs” Helping Refugee Kids Heal | Erum Mariam | TED
- What Makes a Good Game? | Eric Zimmerman | TED
- The Secret to Lasting Love | Eli J. Finkel | TED
- I Thought I Was Lazy. Turns Out I Had a Sleep Disorder | Lindsay Scola | TED
The transcript comes from the captions YouTube has for this video, and the summary is written by AI, so both can contain mistakes. Creators can ask us to remove a transcript on the contact page.
← Transcribe another video