Not for a bridge. Not for a bill. For the possibility that seats currently held by aging members might suddenly need to be filled by a special election. That's the number: $131 million in estimated special-election vacancy risk across Congress, sitting there like a bet nobody asked taxpayers if they wanted to make.
This isn't a prediction that Congress is about to lose a third of its members. It's a running tally of exposure, the cost we'd all be on the hook for if seats held by the oldest members of Congress come open before their terms are up. Every special election costs money. Ballots, poll workers, county election offices scrambling to run a whole separate contest outside the normal cycle. Someone pays for that. It's you, whether you live in that district or not, because these costs ripple through state and local budgets that are already stretched thin.
Here's what's actually in the data. Five members of Congress currently have what we calculate as a completion probability under 50 percent, meaning our model gives them less than a coin flip's chance of finishing out their current term. That's five seats where the ordinary assumption, that a member elected to a term simply serves that term, doesn't hold up under our own numbers.
And here are the five members whose seats carry the highest special-election price tag if a vacancy happens, all from California's House delegation, all pegged at a $100 million special-election cost estimate apiece, differing mainly in how likely we calculate a vacancy to be:
Maxine Waters, California House: $100M cost estimate, 63% completion probability.
Nancy Pelosi, California House: $100M cost estimate, 70% completion probability.
John Garamendi, California House: $100M cost estimate, 83% completion probability.
Doris O. Matsui, California House: $100M cost estimate, 83% completion probability.
Zoe Lofgren, California House: $100M cost estimate, 88% completion probability.
Notice the pattern: the cost estimate is identical across all five. That's not a coincidence, and it's not us being lazy. It reflects how special-election costs get modeled for large, high-population House districts in California, where running a standalone election is expensive no matter which specific seat is involved. What changes seat to seat is the completion probability, our estimate of the odds a member actually serves out the term they were elected to. Lower completion probability doesn't mean a higher price tag here, it means a higher chance that price tag actually gets paid.
This isn't about predicting anyone's future. We want to be blunt about that. A completion probability isn't a death clock and it isn't a guess about anyone's health. It's a structural risk estimate, built from age and pattern data, that helps answer a question voters almost never get asked to think about: what does it cost the public when a governing body skews this old?
Think of the $131 million total as a receipt for a system that has quietly normalized members serving into their eighties and beyond. Every year Congress gets older on average, that risk number doesn't shrink on its own. It's not a partisan number. It's not about any one member's fitness for office. It's about the plain fiscal reality that vacancies cost money, and a legislature stacked with members well past the age most people retire accumulates more of that risk than one with more normal turnover would.
Use this data the way you'd use a smoke detector, not a fortune teller. It's here to make the abstract concrete: age in Congress isn't just a talking point, it's a line item sitting in your state's election budget waiting to be triggered. Next time someone waves this off as a non-issue, you've got a number to hand them.
The completion probability for each member is an estimate of how likely they are to serve out their current term, based on age and related factors in our dataset. The special-election cost estimate reflects what it would cost to run a standalone special election in that member's district if the seat became vacant, which is why members representing similarly sized, similarly expensive districts, like the large House districts in California, show identical cost figures even when their individual risk levels differ.
The $131 million total is the sum of this vacancy risk exposure across the full Congress, not a forecast of actual spending. It's a way of sizing the collective fiscal stakes of an aging legislature, computed directly from our live dataset rather than pulled from any outside estimate or news report.
We built this number so you'd have something concrete to point to the next time someone tells you age in Congress is just a talking point. For the full breakdown of how we calculate completion probabilities and special-election cost estimates across every member, visit toodamnold.com/data.