Right to Trial impact
Today, the average disease without an effective treatment waits 222 years for its first one. Give patients the right to join low-cost clinical trials, and the central estimate falls to 40.5 years.
Central estimate
181
years earlier
The average wait falls from 222 years to 40.5 years.
Change the discovery rate
5.48× faster
Today
222
years
With Right to Trial
40.5
years
181 years sooner
9.19B
Future deaths prevented by faster treatments
483B
Years of healthy life saved
$0.000134
Cost to save one healthy year
The cards above track your slider setting. At the paper's central 5.48×, the 10,000-draw Monte Carlo puts the 90% range at 3.7B–17.2B future deaths prevented and $0.000041–$0.000440 per healthy year.
Faster discovery moves every future treatment closer. The model applies those earlier treatments to the share of disease deaths and lost healthy years that medical progress can prevent.
The estimated launch cost is $65M: $15 million to bring Right to Trial to all 50 states plus $50 million to operate the shared treatment registry for a decade.
The death and healthy-life totals include future generations. They measure the lasting benefit of finding treatments sooner, not only the people alive today.
At this setting, the model moves the discovery rate from 15 to 82.2 first treatments per year and clears today's untreated-disease queue in 80.9 years.
The arithmetic, in one line: 2.88 billion healthy years are lost to disease every year, medicine can eventually prevent 92.6% of that, and the central scenario delivers treatments 181 years sooner — 2.88B × 92.6% × 181 ≈ 483 billion healthy years. Deaths follow the same chain from 150,000 disease deaths per day.
Open every parameter, formula, and citationPeer-archived versions: Right to Trial & FDA Upgrade Act (2025) · Continuous Evidence Generation Protocol (2025)
The death total can exceed today's world population because it sums premature deaths prevented across roughly 181 years of future generations, not people alive right now.
The 5.48× multiplier is an assumption calibrated to move discovery from 15 to 82.2 first treatments per year — not an observed effect. That is why the slider exists: set it where your own skepticism lands.
Every result is conditional on 50-state adoption producing the modeled discovery shift. Multiply the headline by your own probability that it does. Even the skeptical preset — 2× discovery — prevents 5.6B future deaths, so the case does not depend on the central estimate being right.
At the central estimate, preventing one premature death costs about $0.0071 of launch spending — roughly 636K× less than the ~$4,500 a GiveWell top charity spends per life saved. The cost scopes differ: our numerator is only the $65 million campaign and registry, with patients and payers funding the treatments themselves, while GiveWell's figure covers full program costs. Quote it as leverage, not a like-for-like charity comparison — and apply the same probability discount as everything else here.
5,000–10,000 investigational compounds have already passed Phase I safety testing — the same bar Montana's law uses. Many are off-patent or unpatentable, so at $41,000 per trial participant no company can ever recoup the cost of testing them. At $929, testing them becomes viable. The model counts nothing for unlocking this pool.
Every cheap off-patent treatment validated against a condition competes with the patented drugs treating it. The model counts zero price effects for patients or payers.
Compounds that slow aging itself would cut costs across every age-related disease at once. The model treats aging research like any other disease and counts none of those offsets.
Traditional trials spend about $41,000 per participant (range $20,000–$120,000). Pragmatic trials can collect useful results for $929 per participant (range $97–$3,000). Move the budget and see how many people those same dollars can include.
Conventional trial
24
participants
$41,000 per participant
Pragmatic trial
1,076
participants
$929 per participant
44.1× lower cost per participant
Tell us where you live and why this matters. We will use every response to show patients, clinicians, and state leaders how many lives faster trials can change.
Patients find trials. Clinicians compare options. Researchers learn from every result. Here is how a decentralized FDA makes all three easier.
Search for trials based on your condition, location, and preferences.
Review comprehensive outcome data before deciding to join a trial.
Illustrative demo data — hypothetical future therapy
Complete informed consent and enroll in your chosen trial.
Schedule lab tests, provider visits, and import your health records.
Record your diet, treatment adherence, symptoms, and more.
View personalized analytics about your health and treatment response.
Receive personalized daily check-ins from your FDAi AI agent that monitors your progress, collects data, and provides insights in a conversational way.
Your personal health assistant
Good morning, Sarah! How are you feeling today after your treatment yesterday?
I'm feeling better today. The headache is gone but I still feel a bit tired.
That's good progress! Your fatigue has decreased by 40% since last week. Would you like to see how your symptoms compare to others in your trial?
Yes, please show me.
Our AI analyzes patient EHR data to identify and rank the most suitable and effective clinical trials, saving you time.
Review detailed outcome labels, compare trial arms (including standard of care), and assign patients directly.
Track key metrics, patient-reported outcomes, and overall trial status through an intuitive dashboard.
P12345: Mild ARIA reported
P67890: Headache (resolved)
The new and improved FDA.gov would make it effortless for researchers to create a trial and invite patients to join.
Upload protocols, pre/post-clinical data, and register your supply chain through the FDA.gov V2's intuitive interface.
Automatically receive and select liability insurance quotes per subject with transparent pricing.
Define patient pricing, required data collection, and refundable deposits to optimize your trial.
Track inventory, fulfill patient orders, and manage the entire treatment supply chain with end-to-end visibility.
Access real-time insights, analyze effectiveness data, and make informed decisions with comprehensive dashboards and reporting tools.