Your information environment was not built for your benefit.
Here is the science — and the path back.
The average American adult spends 7 hours per day — over 100 full days per year — consuming content engineered to maximize their time on platform, not their wellbeing, clarity, or judgment.
AttentionPlease™ is the first formal mathematical framework to connect the engineered information environment to specific, measurable distortions in cognitive judgment. Built on dual-process theory, cognitive load research, and the empirical bias literature — it is both a diagnostic instrument and a path to reclamation.
RON FRANKLIN & TIMOTHY LEWIS · SAN DIEGO, 2026
"A wealth of information creates a poverty of attention."He was describing office memos. Not smartphones. Not algorithmic feeds. He was not yet describing a crisis.
Today it is. The information environment has been deliberately engineered to maximize time-on-platform by exploiting documented properties of human cognitive architecture. The architects confirmed what they built — in public, on the record.
A significant portion of that time is not intentional — it is reactive. 80.6% of Americans check their phone within the first 10 minutes of waking up. The phone reaches for you before you have decided to reach for it. — Reviews.org survey, Dec 2024
"How do we consume as much of your time and conscious attention as possible? ... It's a social-validation feedback loop — exactly the kind of thing that a hacker like myself would come up with, because you're exploiting a vulnerability in human psychology. The inventors, creators — understood this consciously. And we did it anyway."
Sean Parker · Founding President, Facebook · 2017"A handful of people working at a handful of technology companies are steering the thoughts of billions of people every day. And we don't feel it."
Tristan Harris · Former Google Design Ethicist · Congressional TestimonyThese are not critics. These are the architects. The design intent is on the record. What has been missing — until now — is a formal account of the mechanism.
Daniel Kahneman's Nobel Prize-winning dual-process framework describes the cognitive architecture the attention economy is built to exploit.
Pattern recognition. Heuristics. Gut feeling. System 1 operates continuously and effortlessly. It never asks for evidence. It does not announce when it has taken control.
Logic. Analysis. Evidence evaluation. System 2 is metabolically expensive — it gets tired, it gets overloaded. When it does, System 1 takes the wheel. That transfer is invisible from the inside.
There is a tipping point. When information arrives faster than your cognitive system can process it, processing responsibility transfers from System 2 to System 1 — without announcement, without awareness.
System 2 in control. Best state for consequential decisions.
The critical zone. Small interventions matter most here.
System 1 dominant. All seven biases amplifying. Feels completely normal.
The hijacked state doesn't feel like impairment.
It feels like clarity.
Kahneman calls this cognitive ease — the state of fluent, effortless processing that accompanies System 1 dominance. Cognitive ease is not the absence of error. It is the absence of the signal that would prompt System 2 to intervene. This is what makes external measurement both necessary and valuable.
Parole was granted to approximately 65% of applicants at session start — declining to near zero before scheduled breaks, then resetting after rest. The decisions were influenced by accumulated cognitive load. The judges were completely unaware.
"The judges didn't know. Neither will you."
Danziger, Levav & Avnaim-Pesso · Proceedings of the National Academy of Sciences · 2011
The BAM, developed by Ron Franklin and Timothy Lewis, formally connects attention economics, dual-process theory, and the cognitive bias literature through a single measurable ratio — producing quantitative predictions about specific bias intensities and aggregate cognitive distortion at any given moment.
The Core Ratio
Cognitive Overload Ratio — information input rate divided by cognitive processing capacity
As Ω rises past 1.0, a sigmoid amplification function drives nonlinear increases in seven documented cognitive biases. The Phi Index (Φ) — a composite measure ranging from 0.17 at baseline to 0.61 at maximum overload — quantifies aggregate cognitive distortion as a function of measurable inputs. The model's testability does not wait on exact measurement.
Sigmoid amplification function f(Ω) · cognitive bias amplification accelerates nonlinearly as Ω crosses 1.0
System 2 dominant. Best state for consequential analytical work. Increasingly rare in contemporary information environments.
The tipping point zone. The sigmoid is steepest here — small interventions produce large changes in cognitive state.
System 1 dominant. All seven biases operating above baseline. The modal state during social media and multi-task work.
Extreme overload. Near-maximum bias amplification. Decisions made here are highly unreliable — and feel completely normal.
Under Zone 3 conditions these seven biases are all operating above baseline — while the cognitive state feels like clarity, not impairment.
The same mathematical structure that describes the problem specifies the solution. Omega has two levers. The framework has three moves. The path is practical, not aspirational.
You cannot reclaim what you don't know is being taken. Understanding that Zone 3 feels like clarity — not impairment — is the foundational insight. The BAM gives the mechanism a name, a model, and a measurement. This page is the first step.
Don't fight the information environment with willpower alone — it was designed by people who understand your cognitive architecture better than you do. Design friction into the systems that steal your attention: batch notifications, single screens, scheduled information consumption. Environmental design beats self-discipline every time.
Take back what is yours: your creative work, your real relationships, your own original thoughts, the hours that used to belong to a screen. Reclamation is not deprivation. It is intentionality — deciding where your attention goes, rather than allowing others to decide for you.
Batch notifications. One screen at a time. Delete the apps that reach for you without invitation. Every reduction in information input rate moves Ω — and your Phi Index — toward Zone 1.
Sleep-deprived cognitive capacity is half of well-rested capacity. One hour of physical movement measurably raises working memory. Protected focus — single task, no interruptions — is Zone 1 by design, not accident.
Attention is your currency.
Invest it where it grows.
Explore the Bias Amplification Model in real time. Set your Cognitive Overload Ratio, individual sensitivity, emotional charge, and information acceleration. Watch your Phi Index respond. Five scenario presets from Deep Focus to Full Crisis. Free, no account required.
Open the ModelA live guided implementation of the Awareness → Friction → Reclamation framework. Participants build a personal Attention Architecture — a designed environment, protocol, and 30-day practice that moves daily cognitive life from Zone 3 toward Zone 1. Limited cohorts. Intentionally small.
View Workshop DetailsThe Bias Amplification Model: A Mathematical Framework for Quantifying Cognitive Distortion Under Conditions of Information Overload. Ron Franklin and Timothy Lewis. SSRN preprint, April 2026. Full equations, bias formulations, operationalization roadmap, falsifiability conditions.
Read the ResearchRon Franklin is an Emmy Award-winning video producer, adjunct professor at San Diego Community College District, and keynote speaker represented by Salem Speaking Bureau. His Master of Music in Guitar Performance informs a unique keynote concert format that integrates live music with the Awareness → Friction → Reclamation message.
Timothy Lewis is Ron's co-founder and research collaborator, responsible for the mathematical formalization of the Bias Amplification Model — its equation architecture, parameter specification, and theoretical framework development.
Speaking inquiries and research correspondence: research@attentionplease.ai
The answer matters more than it ever has.