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Systems module

This module will concentrate on system, what they are and how can they be generated for sucessful completion of goals.

Definition

System: "An organized set of doctrines, ideas, or principles usually intended to explain the arrangement or working of a whole" Merriam-Webster Online Dictionary

System: A repeatable mechanism that drives you to meeting your goals

Introduction

Our mission, at the Mental Resistance Lab, is to dissect the intricate architecture of human performance, to reveal the hidden levers that dictate our limits, and ultimately, to engineer an unbreakable inner resistance. Today, we begin by confronting a brutal, undeniable truth: most humans fail at their own self-imposed goals.

 

Fogg behavior model

Persuasive-design knowledge for understanding behavior

Fogg behavior model (FBM)

Introduction

The Fogg Behavior model as described in the paper "A Behavior Model for Persuasive Design" is an attempt at understanding human behavior. It operates as an elegant mechanism of human psychology, asserting that any given action occurs only when motivation, ability, and a trigger converge and act together in a mechanistic balance.

With insights into into persuasive design; it models how behavior change can be automated and the fundamental elements to achieve the behavior activation threshold, which is when a person performs a behavior.

"The Fogg Behavior Model (FBM) asserts that for a person to perform a target behavior, he or she must (1) be sufficiently motivated, (2) have the ability to perform the behavior, and (3) be triggered to perform the behavior. These three factors must occur at the same moment, else the behavior will not happen." Brian Jeffrey Fogg

B.J. Fogg strips away the guesswork and vagueness of human behavior (and its unpredictability) by mapping its components onto a conceptual plane in which a combination of these three factors will approach or surpass a limit called the behavior activation threshold. If an individual falls below the behavioral activation threshold, no amount of prompting will yield results.

It must be noted that a a deficiency in one factor (motivation, ability, trigger) does not automatically mean all others will be nullified, if an individual possesses exceptionally low motivation yet still perform a target behavior if the task requires virtually zero effort, meaning their ability is exceptionally high.

Under the Fogg Behavior Model, simplicity can effectively compensate for a lack of desire, for example, a person may have no active interest or motivation to purchase a brand-new vehicle, but if a legitimate seller offers them that car for a single dollar (1 USD), the behavior will occur. Because the financial ability required is so negligible, the behavior easily clears the activation threshold the moment a prompt occurs (trigger), despite the baseline absence of motivation.

Conversely, an individual can experience a surge of motivation but fail to execute the behavior if the task is too difficult, meaning their ability is low. If a website requires a user to solve a highly complex mathematical puzzle before they can submit an email address, a user who struggles with math lacks the immediate ability to comply therefore the behavior will not occur even if motivation is high.

However if the completion of this math puzzle would entail a high monetary reward (10,000 USD), the user might search the means of acquiring the necessary knowledge required (ability) in order to complete the task.

The architecture of human desire within this framework relies on three fundamental pairs of motivators: the primitive, immediate responses of pleasure and pain; the anticipatory dimensions of hope and fear; and the deeply hardwired social forces of acceptance and rejection. Yet, Fogg argues that piling on motivation is often a fool’s errand because humans are inherently resistant to the friction of learning new things and effort. Instead, the model champions simplicity (ability).

Simplicity is defined through six distinct real-world constraints that behave like links in a chain: time, money, physical effort, brain cycles (the level of difficulty required of a given mental effort), social deviance (going against the norm), and non-routine  (how often it has been performed on a daily basis).

Simplicity is ultimately dictated by an individual’s scarcest (lowest) resource at the precise moment of engagement. To bridge the gap between capability and action, Fogg introduces three distinct triggers tailored to the user's specific psychological state. The "spark" serves to simultaneously inject motivation and trigger action for those lacking desire; the "facilitator" acts as an optimizer by simplifying the task for highly motivated but incapable users; and the "signal" functions as a pure reminder for individuals who already possess both the motivation and ability to act. Through this synchronized interplay, the model transforms behavioral change from an unpredictable art into a systematic science.

"Simplicity is a function of a person's scarcest resource at the moment a behavior is triggered." Brian Jeffrey Fogg

We must note that the FBM is a two-way street; the FBM model helps us understand how to spark a behavior but also how to possibly stop one. While driving an action requires aligning motivation, ability, and a trigger, preventing an action simply requires disrupting that alignment, reducing the combination below the behavior activation threshold.

To stop an unwanted behavior, you can either lower the person's ability by making the task more difficult, decrease their motivation so they no longer want to do it, or systematically eliminate the triggers that initiate the action.

"When a behavior does not occur, it is easy to assume that motivation was lacking. But the FBM shows a different perspective: Perhaps the user lacked the ability, or perhaps a trigger was missing." Brian Jeffrey Fogg

"The Fogg Behavior Model (FBM) makes clear that motivation alone no matter how high may not get people to perform a behavior if they don’t have the ability."

Brian Jeffrey Fogg

Habits

Introduction​​

James Clear's Atomic Habits centers on the premise that life changes result from the accumulation of small percentage improvements. These tiny shifts compound over time, meaning that getting slightly better with each repetition or practice, results in being significantly better in the long run.

Clear's ideas are fundamental to the Mental Resistance Lab due to the fact that the development of any given skill lives or dies by the frequency it is performed; meaning, if the environment is conducive enough one can develop automatisms that work in our advantage.

"Habits are the compound interest of self improvement" James Clear

Explanation

 

All behavior is driven by the desire to solve a problem, habits are reliable solutions to recurring problems. Habit formation functions as a neurological feedback loop consisting of four sequential steps: cue, craving, response, and reward. The cue triggers a craving, which motivates a specific response, which then provides a reward that satisfies the original craving. Cravings stem from desires to reduce uncertainty and to promote a state change.

Lack of judgement

Adjusting the meaning you assign to habits is key in habit formation and disruption. In order to assess our current habits however, we must notice behaviors without any judgment, or labeling them as good or bad; it's useful to only try to notice their effectiveness and consequences.

This reframe begins at the linguistic level: to say “I’m excited” instead of “I’m nervous” focuses on how the bodily sensations might be gearing us up for a better performance and not diminish our chances of success. Instead of saying “I have to”, saying "I get to" do something; it helps relieve the burden of stress about an activity and favors instead the thankfulness aspect of being able to perform an action.

Another helpful reframing exercise consists of associating hard habits with their benefits. Instead of saying "this workout is really tough", one could say "this workout is making my core stronger". The focus therefore lies on the benefits and the attractiveness of the action rather than on the the inevitable difficulty.

 

"People do not rise to the level of their goals, but instead fall to the level of their systems" James Clear

Systems over goals

Clear argues for individuals to abandon goal setting and temporary motivation in favor of designing effective systems, given that the first focuses strictly on desired outcomes, whereas the latter focuses on the processes required to reach those results.

Goals are momentary; systems are ongoing value-directed processes that are unrelated to outcomes. Furthermore, if a person equates his or her worth as a person to the outcome of a goal then what does it mean when the goal was not reached? Is that person now worthless.

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 "Your current habits are not necessarily the best ways to solve the problems you face; they are the methods you learned to use. " James Clear

 

Identity

Habits shape and are shaped by identity. Sustained behavior change requires an identity-based approach, where individuals first decide who they want to become and then validate that identity through small, consistent victories. It is through the repetition of behavior that we start believing the new version of ourselves. Changing habits is hard because we often focus on the wrong things or approach change incorrectly. Clear describes three layers of behavior change: outcomes, processes, and identity. True change comes from shifting identity, becoming the type of person you want to be.

Habits provide evidence for your identity, and lasting change requires aligning your habits with your desired self-image. Identity influences habits; habits influence identity in a feedback loop. Repeating habits provides evidence for beliefs, reinforcing identity.

Tips for overcoming limiting beliefs and self-identity (reframe beliefs to support growth and adaptability):

  • Avoid defining identity by roles or achievements.

  • Redefine identity to focus on qualities (e.g., discipline, reliability).

  • Regularly check if habits and beliefs serve current circumstances.

  • Reflection and review are key to maintaining self-awareness and progress.

Environment

Environment influences behavior more than motivation. It is notable that in order to change behavior it is recommended to engineer our environment so that our willpower is used at a minimum. By designing your environment to make good habits easier and bad habits harder, you increase your chances of success.

  • Place cues in visible, accessible locations.

  • Design spaces to support desired habits, e.g., keep water bottles accessible.

  • Create distinct zones for different activities.

  • Rearrange current spaces if creating new environments isn't feasible.

Self-control is less about willpower and more about avoiding tempting situations. The most disciplined individuals structure their environments to minimize exposure to cues for bad habits. Making bad habits invisible is more effective than relying on self-control (short-term strategy)

  • Heroic willpower is less effective long-term.

  • Increase friction for bad habits.

  • Remove cues for bad habits, e.g., move TV out of bedroom.

  • Structure environment to minimize temptation.

  • Automate positive behaviors and restrict access to temptations.

 

Changing habits

To establish a desirable habit, one must manipulate this loop using the four laws of behavior change by making the cue obvious, the craving attractive, the response easy, and the reward satisfying. Conversely, breaking an unwanted habit requires inverting these rules to make the cue invisible, the craving unattractive, the response difficult, and the reward unsatisfying. Bad habits often start with social cues and are maintained by underlying motives like reducing anxiety or seeking approval.

When habits fail to change, the flaw lies within the system rather than the individual.

 

In order to change a habit awareness is the first step. Clear introduces the "Habits scorecard", pointing-and-calling to increase awareness. Making Habits Obvious and Clear. Habit tracking and visual measures of progress reinforce positive behavior.

"Don’t break the chain" is a powerful mantra for consistency. Measurement should support, not replace, the purpose behind the habit. Focus on small, manageable actions to build automaticity.

Implementation intentions (specific plans for when and where to act) dramatically increase the likelihood of sticking to habits. Clarity and specific planning boost habit formation. Fill in the sentence: “During the next week, I will partake in at least 20 minutes of vigorous exercise on day, time, place.”

Habit stacking (linking a new habit to an existing one) makes it easier to adopt new behaviors. The more specific and actionable the cue, the better the odds of success. Habit stacking links new habits to existing ones, e.g., “After [Current Habit], I will [New Habit].” Use triggers like time and location for consistency. Repetition and specificity increase success rates.

Creating motivation rituals helps associate habits with enjoyable cues.

Procrastinating

We are naturally drawn to the path of least resistance; therefore, changing our context will alter our behavior. Habits are associations therefore making good habits easy and convenient increases the likelihood of following through.

Environment design and reducing friction are essential strategies. Start new habits with actions that take less than two minutes; this lowers the barrier to entry and helps establish the habit of showing up.

Small actions compound over time into significant change.

Habits are driven by dopamine and anticipation of rewards. Temptation bundling (pairing an action you want to do with one you need to do) makes habits more attractive. The brain is wired to seek out pleasurable experiences, so linking positive feelings to good habits increases adherence. 

Repetition, not perfection, is the key to habit formation. The more you repeat a behavior, the more automatic it becomes. Habits become automatic through consistent practice, following Hebb’s law ("neurons that fire together, wire together"). Behavior change depends on frequency, not time spent, repetition is what drives the neurological changes required to automate a behavior.

Focus on taking action rather than over-planning or seeking the perfect strategy. Commitment devices and increasing friction for bad habits make them harder to perform. Automating good habits and locking in future behavior helps ensure consistency. Immediate rewards are crucial for habit formation. What is rewarded is repeated, and what is punished is avoided. Aligning immediate and long-term rewards helps habits stick.

When habits break, never miss twice to prevent spiral; daily declines reduce progress almost to zero.

Social aspect​

We imitate the habits of those close to us, the majority, and those we admire. Joining groups where your desired behavior is the norm makes it easier to adopt new habits. Social influence is a powerful driver of behavior, therefore it is beneficial to frequent environments with the type of people that already entail the values we would like to have.

Accountability increases the cost of bad habits and the likelihood of following through on good ones. Habit contracts and accountability partners provide external motivation and support. Surrounding yourself with fit, disciplined people encourages similar habits. ​​

Afterburner

The truth about talent (when genes matter and when they don’t).

Habits are easier and more satisfying when they align with your natural abilities and interests. Explore broadly, then focus on areas where you have a natural advantage. Specialization and combining skills can help you stand out.

Progress often appears invisible until a critical threshold is crossed, crossing the "Plateau of Latent Potential" requires persistent effort, similar to a stonecutter's repeated strikes. Mastery reduces feedback sensitivity, risking complacency.

Motivation peaks when tasks are just challenging enough, not too easy or too hard. Mastery requires a balancing routine with novelty and learning to persist through boredom.

Habits can lead to mindless repetition and stagnation. Regular reflection and review are necessary to keep improving and avoid complacency. Avoid letting any single aspect of your identity become too dominant. Quantity over quality: producing more experiments leads to better mastery.

"We see things not as they are, but as we are."

Popular proverb

 The basal ganglia & Striatal projection neurons (SPN)

The provided scientific publications establish both the theoretical framework and the empirical validation for how the basal ganglia organize behavioral routines into distinct, consolidated units of action. Together they represent the gold standard in behavioral neuroscience for explaining how habits work under the hood.

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The first paper "The Basal Ganglia and Chunking of Action Repertoires" by Ann M. Graybiel (1998) is the big picture theory and introduces the idea of "cognitive chunking."

When you first learn a new skill like driving a car, your brain treats every individual action as a separate, major decision, which requires massive amounts of mental energy.
Over time, the brain compresses these separate steps into a single, automated block of behavior, (chunking) with strong SPN responses at the beginning and end of a sequence (behavior), marking the boundaries of the chunk (neural bookmark).

The foundational theory proposes that the striatum recodes modular, distributed inputs from the neocortex to "chunk" complex motor and cognitive sequences into single performance units. This information compression allows multi-step actions to be executed efficiently as automated habits, transferring control from detailed cortical representations to streamlined, predictive basal ganglia loops. The basal ganglia act as a compiler that takes complex, multi-step routines and turns them into a single, efficient macro-command, freeing up your conscious mind for other tasks.

The second paper "Inversely Active Striatal Projection Neurons and Interneurons" (2019), proves this theory by looking directly at brain activity during a habit. Researchers found that as an action becomes an automated habit, the brain cells in the striatum stop tracking the individual movements. Instead, they fire intensely right when the habit starts and right when it ends, acting like a set of bookends or parentheses around the behavior. This "bracketing" signal only appears when the habit is fully learned and rewarded, proving that the brain literally marks the boundaries of a routine to execute it as one unbroken sequence.

 

Striatal projection neurons are the main type of cell in the striatum, they get that name from their appearance as they are medium-sized cells covered in small protrusions. Projection neurons because their axons send signals to other parts of the brain outside of the striatum.

Subsequent empirical evidence validates this model by demonstrating a clear functional dissociation between the primary motor cortex and the dorsolateral striatum during sequence execution. While motor cortical neurons fire in relation to individual sub-movements regardless of their position in a sequence or their reinforcement history, striatal populations encode the behavior at a higher level of abstraction. Specifically, populations of striatal projection neurons (SPN) exhibit a distinct bracketing signal, firing preferentially at the exact initiation and termination of learned, rewarded sequences.

This sequence-delimiting signal operates via a complementary intra-striatal network. Simultaneously recorded fast-spiking striatal interneurons display an inverse firing pattern, activating precisely during the mid-task period between sequence initiation and completion. This coordinated network activity is absent when subjects perform unreinforced or incorrect sequences containing identical sub-movements, confirming that the boundary-marking signal is specifically driven by extended reinforcement history rather than basic kinematics or repetition.

This means that inside the habit center of the brain, two different types of cells work together like a tag team to manage a habit from start to finish. While the main cells act as bookends by firing only at the exact start and completion of the routine, a second group of helper cells called fast-spiking interneurons (action potential at high frequencies) does the exact opposite. These helper cells completely shut off at the boundaries and turn on exclusively during the middle of the task, filling the entire gap between the start and end triggers.

Furthermore, this perfectly coordinated tag-team activity only happens when a habit is executed correctly and leads to a known reward. If a subject makes a mistake or performs the exact same physical movements without receiving a reward, this brain signaling completely vanishes. This proves that the brain is not just mindlessly reacting to repetition or physical muscle movements; it is specifically tracking the long-term history of reward and success attached to that specific routine.

Futher reading:

WIP

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