The Long Run with Luke Timmerman
The Long Run with Luke Timmerman

Ep168: Jonathan Bricker on How to Quit Smoking & Prevent Cancer

Jonathan Bricker, professor in the cancer prevention program at Fred Hutchinson Cancer Center, on how to quit smoking with help from tech and biotech tools.

Featured Speakers

Timmerman Report HostJonathan Bricker Guest

Topics Discussed

Episode Summary

Executive Summary: Luke Timmerman speaks with psychologist Jonathan Bricker about applying digital behavioral science to smoking cessation and broader health behavior change. Bricker argues smoking is a multifactorial public health problem best addressed with apps, AI, behavioral therapy, and low-cost nicotine replacement—ideally as free public goods—to dramatically cut cancer deaths and reach underserved populations.

Main Topics: Smoking as a major cancer driver (Priority: 5/5): Bricker frames smoking as the leading preventable cause of cancer death and emphasizes that reducing tobacco use remains one of the biggest opportunities to lower cancer mortality at population scale. Psychology, data, and behavioral science (Priority: 4/5): He explains that modern psychology is empirically grounded, quantitative, and well suited to clinical trial design, longitudinal analysis, and behavior-change research. Biopsychosocial model of smoking (Priority: 5/5): Smoking is presented as an addiction shaped by biology, habits, and social norms, meaning effective solutions must address all three layers rather than rely on medication alone. Digital cessation tools and ACT (Priority: 5/5): Bricker describes his lab’s smartphone apps that use acceptance and commitment therapy, push notifications, and gamification to help users manage cravings and stay engaged. Combining apps with pharmacotherapy (Priority: 5/5): He argues the strongest quit outcomes come from pairing digital behavioral support with nicotine replacement therapy or other medications, producing better results than either alone. Public-good distribution model (Priority: 4/5): Bricker criticizes insurance/payment barriers for digital therapeutics and advocates free or philanthropic distribution, especially for low-income, rural, and high-risk groups. AI and future expansion (Priority: 4/5): The conversation closes with Bricker’s vision of AI-powered health coaches and scalable digital programs that could extend beyond smoking to weight loss, alcohol, opioids, diet, and exercise.

Key Arguments: Smoking remains a leading cause of cancer death, so even incremental cessation gains could yield outsized public-health benefits. Psychology is most effective when applied through scalable, evidence-based tools rather than limited one-on-one care. A biopsychosocial approach is necessary because smoking is not just chemical dependence; it is also habit, identity, and social environment. Smartphone apps enable 24/7 support, just-in-time intervention, and personalized tracking that clinicians cannot provide at scale. Gamification and progress feedback increase engagement and can make behavioral interventions feel reinforcing to users. The best quit rates come from combining digital behavioral support with nicotine replacement therapy. Free distribution is more equitable and practical than relying on insurance reimbursement or prescription-only channels. AI chatbots can function as effective coaching tools if grounded in clinical evidence and tailored to the behavior-change domain. The same delivery model could help address other addictions and health behaviors that lack enough clinicians or access points.

Data Points: Adult smoking rate in the U.S. in 1964: 42% - Rate at the time of the first U.S. Surgeon General’s report linking smoking and lung cancer. Current U.S. adult smoking rate: 11.5% - Described as down from historical highs but still a major burden. Number of U.S. adult smokers: 28 million - Estimated number of current American adults who smoke. Premature deaths per year: 400,000 - Annual premature deaths attributed to smoking in the United States. Adults who want to quit: About 80% - Bricker says the vast majority of smokers would like to quit. FDA-approved cessation medications: 7 - Five nicotine replacement therapies plus bupropion and varenicline. Nicotine replacement therapies: 5 - Patch, gum, lozenge, inhaler, and related NRT forms. Pharmacotherapy success at 12 months: 20-25% - Typical long-term quit success with current drug-based approaches plus behavioral support. App alone quit rate at 1 year: 28% - Bricker reports his app alone performs slightly better than varenicline. App plus nicotine replacement therapy quit rate: 40% - Best reported outcome in the conversation for the combined intervention. App plus varenicline quit rate: 32% - Reported as better than app alone but lower than app plus NRT. Smoking-related cancer deaths reducible: 30% - Bricker says eliminating smoking could cut overall cancer deaths by about a third. Population reached by smokefree.gov: 4 million people/year - Cited as an example of a free public-facing cessation resource. Years of lab work: 15 years - Time Bricker’s team has spent developing digital cessation interventions. Years in the field: 25 years - Bricker reflects on his career length in tobacco control and behavior change. India initiative: 100-200 doctors per talk - Bricker says his team is seeing strong interest from Indian physicians in disseminating the app.

Pivotal Quotes: "If you were able to eliminate smoking, we could cut cancer deaths by 30%." — Jonathan Bricker: He is arguing for the enormous population-level impact of effective cessation. "We need to give away proven treatments for quitting smoking." — Jonathan Bricker: He makes the case for a public-good, free-distribution model rather than relying on insurance coverage. "Everybody knows what to do. Not everybody knows how to do it." — Jonathan Bricker: He explains why digital coaching, reminders, and behavior-change support matter for habit change.

Implications: The episode argues that smoking cessation should be treated like core public health infrastructure: free, scalable, data-driven, and available in people’s pockets. If successful, this model could meaningfully reduce cancer deaths and extend to other addictions and lifestyle risks.

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