One Size Fits None: Why an Idionomic Revolution is Necessary for Our Field
Keynote 10 - One Size Fits None: Why an Idionomic Revolution Is Necessary for Our Field
Friday, June 26, 2026
5:00 PM - 6:00 PM PDT
Location: Foothill C, 2nd Floor
Earn 1 Credit
Keywords: Therapy Process, Treatment Development, Unified Treatment Level of Familiarity: All Recommended Readings: Li, W., Gleeson, J., Fraser, M. I., Ciarrochi, J., Hofmann, S. G., Hayes, S. C., & Sahdra, B. K. (2024). The efficacy of personalized psychological interventions in adolescents: A scoping review and meta-analysis. Frontiers in Psychology, 15, 1470817. DOI: 10.3389/fpsyg.2024.1470817 , Hayes, S. C. & King, G. (2024). Acceptance and Commitment Therapy: What the history of ACT and the first 1,000 randomized controlled trials reveal. Journal of Contextual Behavioral Science, 33, 100809. DOI: 10.1016/j.jcbs.2024.100809 , Ong, C. W., Ciarrochi, J., Hofmann, S. G., Karekla, M., & Hayes, S. C. (2024). Through the extended evolutionary meta-model, and what ACT found there: ACT as a process-based therapy. Journal of Contextual Behavioral Science, 32, 100734. DOI: 10.1016/j.jcbs.2024.100734 , ,
Foundation Professor of Psychology Emeritus University of Nevada, Reno Reno, NV, United States
Intervention science and practice faces a progressivity crisis: stagnant effect sizes, failed syndromal strategies, and a disconnect between science and practice. Despite decades of RCTs and proliferating protocols, personalization remains elusive, with practitioners lacking guidance for tailoring interventions to particular people. This talk shows that such stagnation stems from violations of ergodic assumptions in normative statistics. It is rooted in the dark history of biostatistics which falsely assumed for racist and antisemitic reasons that ensemble statistics are applicable to particular people (or couples or families or organizations). Almost always they are not. This plenary proposes idionomics: a dynamic, particularized science leveraging longitudinal data, AI, and evolutionary principles to model intraindividual processes first, then seeking nomothetic generalizations that enhance idiographic understanding. Empirical examples will illustrate how idionomics uncovers functional subgroups masked by aggregates, enabling a science of personalization. Idionomics revives functional analysis, aligns with precision medicine, empowers global practitioners beyond WEIRD biases and shifts attention from traditional evidence-based practice to practice-based evidence. If we are to create a more progressive science the future of our discipline demands a shift from ergodic illusions to a personalized and precision-based intervention science based on idionomic analysis.
Learning Objectives:
Discuss the ergodic illusion in normative statistics and its historical roots in the original purposes pf biostatistics.
Describe the principles of idionomics, including how to model idiographic processes using longitudinal data and AI, and apply them to uncover functional subgroups in therapy.
Discuss the implications of idionomics for clinical practice and equitable, personalized care.