Social Anxiety: Applied Math for ADHD
Dismantle ADHD-driven social hypervigilance and rejection sensitivity using quantitative models. Learn to apply Bayesian updates, signal detection theory, and expected value to navigate social situations with clarity.
Like Duolingo, but for Social Anxiety: Applied Math for ADHD. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
A short one: 8 levels across 2 sections, about 16 minutes end to end, roughly 3 days at five minutes a day. It moves through Recalibrating Social Threat Perception and Decision Theory in Social Dynamics.
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Key ideas in Social Anxiety: Applied Math for ADHD
- In Rejection Sensitive Dysphoria (RSD), ambiguous cues are treated as high-probability evidence of rejection despite having minimal diagnostic power
- Mathematically, a cue provides mutual information about an outcome only if its probability distribution differs substantially across different underlying states
- Because brief or flat text responses occur at comparable rates during distraction, stress, or casual efficiency, their likelihood ratio for 'interpersonal disapproval' is close to 1
- Bayes' rule dictates that when competing hypotheses (fatigue, distraction, crisis) possess massive base rates compared to rare relational ruptures, the posterior probability of intentional rejection remains negligible without overwhelming evidence
- Social anxiety creates base-rate neglect, treating the likelihood of sudden social expulsion as if it shared an equal prior with mundane daily disruptions
- Evaluating P(Evidence | Alternative Explanations) alongside their dominant prior base rates keeps social threat calibrated against RSD catastrophizing
- Sequential Bayesian updating requires independent observations; cues sharing a common environmental confound (such as the person having a brutal workday) are conditionally dependent
- Ambiguous cues cannot be aggregated to manufacture certainty; compounding uninformative observations does not satisfy the requirement for unambiguous evidence
- In rejection sensitivity, requiring at least two independent, unambiguous observations prevents the nervous system from stringing together separate ambiguous moments into a false pattern of hostility
- ADHD executive function struggles to clear salient emotional threats from working memory without an unambiguous, quantitative stopping rule
- Setting an explicit numerical threshold (such as requiring >80% posterior probability based on hard evidence before entertaining threat) halts iterative replay by formally classifying ambiguous data as below-threshold noise
- In ADHD social anxiety, rejection sensitive dysphoria drives an asymmetric criterion shift that treats a missed rejection cue (false negative) as far more catastrophic than falsely detecting one (false alarm)
- The perceptual sensitivity (d-prime) is often intact, but the decision criterion beta is set excessively low, turning benign or ambiguous ambient behaviors into perceived negative judgments
- Recognizing this mechanism allows the individual to label sudden spikes of social dread as predictable statistical false alarms rather than verified social censure
- High cognitive load on working memory degrades sensory discriminability (d-prime), pulling signal and noise distributions closer together in perceptual processing
- When cognitive bandwidth is depleted, ambiguous and resting neutral faces collapse into the default threat category rather than remaining classified as neutral
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives Social Anxiety: Applied Math for ADHD the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
When does a social cue actually give you useful 'mutual information' about whether someone is upset with you?
Get it right to open this lesson and 7 more in the app.
How to learn Social Anxiety: Applied Math for ADHD, step by step
Go in order. 8 short levels across 2 sections, about 16 minutes in all, five minutes a day.
- 1
Recalibrating Social Threat Perception
- Bayesian Calibration for Rejection Sensitivity
- Signal Detection and Cognitive Bandwidth
- 2
Decision Theory in Social Dynamics
- Expected Value and Game Theory in Interaction
2 sections · 3 units · 8 levels. Built to play, not to enroll.
Questions about Social Anxiety: Applied Math for ADHD
How do I learn Social Anxiety: Applied Math for ADHD?
Go in order: start with Recalibrating Social Threat Perception, then Decision Theory in Social Dynamics. On Tomo that's 8 short levels, about 16 minutes in all, played five minutes a day. Start free and play the first level in under a minute.
Is there a Duolingo-style app for Social Anxiety: Applied Math for ADHD?
Yes. Tomo works like Duolingo: short daily lessons, streaks and quick quizzes. Social Anxiety: Applied Math for ADHD is one of its free courses, and you can type any other topic to get a course of your own.
Is the Social Anxiety: Applied Math for ADHD course free?
Yes. Social Anxiety: Applied Math for ADHD is playable on Tomo's free plan, which doesn't expire. No credit card, no waitlist. Download the app and start your first lesson.
How long does it take to learn Social Anxiety: Applied Math for ADHD?
8 levels across 2 sections, about 16 minutes of play in total. It's built for five minutes a day, so you finish it a little at a time instead of all at once.
Do I need any background to start Social Anxiety: Applied Math for ADHD?
No. It's pitched at an advanced level, so it starts where you are and builds up. If you can tap a phone, you can start.
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