Cognitive Dissonance

Cognitive dissonance theory, proposed by psychologist Leon Festinger in the 1950s, is a fundamental concept in psychology that explores the discomfort people experience when they hold conflicting beliefs, attitudes, or values. When individuals encounter information or situations that challenge their existing beliefs or attitudes, they often experience cognitive dissonance, a state of psychological tension. This tension arises from the inconsistency between what they believe and what they are confronted with.

To reduce this discomfort, individuals typically employ various cognitive and behavioral strategies. They may change their beliefs or attitudes to align with the new information, seek out information that supports their existing beliefs (confirmation bias), or downplay the significance of the conflicting information. For example, if someone holds a negative stereotype about a particular group but then has a positive encounter with a member of that group, they might experience cognitive dissonance. To alleviate this discomfort, they may adjust their stereotype or minimize the significance of the positive encounter.

Cognitive dissonance theory is crucial for understanding the dynamics of attitude change and behavior. It highlights the human tendency to strive for consistency in our beliefs and actions and the discomfort that arises when inconsistency occurs. By recognizing cognitive dissonance, psychologists and individuals alike can better understand the processes underlying attitude change, prejudice reduction, and decision-making in the face of conflicting information

An article where I talk about its impacts with respect to autism 



Consciousness

The exploration of consciousness is a central theme in both  Buddhism and Sanathana Dharma (Hinduism) philosophies, and modern scientific inquiry has begun to intersect with some of these ancient concepts. While there are parallels, there are also significant differences in the methodologies, foundational assumptions, and goals of spiritual traditions and scientific inquiry. The intersections, however, provide fertile ground for scientific enrichment.

Nature of Consciousness and Quantum Physics. Both Sanathana Dharma and Buddhism assert that consciousness isn't a byproduct but a fundamental aspect of reality. This perspective aligns, to some extent, with certain interpretations of quantum mechanics, which propose that consciousness plays a role in the process of quantum measurement or wave function collapse.

Meditation, Mindfulness, and Neuroscience: Neuroscientific research into the effects of meditation—a practice central to both Sanathana Dharma and Buddhist traditions—has shown that it can induce significant changes in areas of the brain associated with attention, emotion regulation, and self-awareness.

Self and Non-self:  Sanathana Dharma philosophy's exploration of the self through concepts like "Atman" (individual soul) and its relationship with "Brahman" (universal consciousness) can be seen in parallel with the scientific exploration of individual consciousness and its relationship with the world. Buddhism's concept of "Anatta" (non-self) proposes that there's no continuous, unchanging self. This idea resonates with certain findings in neuroscience, suggesting that the perception of a continuous "self" is an emergent property of various neural processes and not localized in one part of the brain. 

Levels and States of Consciousness: The Mandukya Upanishad, outlines different states of consciousness, including waking, dreaming, deep sleep, and a transcendent state known as "Turiya." Modern neuroscience also explores various states of consciousness, such as REM sleep, deep sleep, and altered states induced by substances or meditation. Buddhist meditation practices often aim to transcend ordinary states of consciousness and attain enlightened states. Neuroscientific studies on accomplished meditators have reported unique brainwave patterns and states of consciousness.

Interconnectedness: Both Sanathana Dharma and Buddhist philosophies emphasize the interconnectedness of all things. This idea has resonances with holistic perspectives in science, especially in fields like ecology and certain interpretations of quantum physics which emphasize non-locality and entanglement.

Plasticity and Transformation: Both Sanathana Dharma and Buddhist traditions emphasize the possibility of transforming one's mind and consciousness. The idea of neuroplasticity in modern neuroscience—that the brain is malleable and can be changed through experiences, especially practices like meditation—aligns with this.

Phenomenal Experience: Buddhism, particularly in schools like Yogacara, delves deep into the nature of experience, cognition, and perception. These explorations find parallels in cognitive science and phenomenological approaches in modern philosophy of mind.

Contemplation

 In the midst of amusement, we find a moment of pure joy.- Hari Srinivasan



 https://www.newsweek.com/dual-approach-autism-opinion-1818062

To drive true progress and improve the quality of life of all autistics we need BOTH Strengths_based_Opportunities AND Challenges_based_Solutions. 
It is not Either-Or.






#Autism #Research #Strengths_based_opportunities #Challenges_based_solutions.

The Impact of Stereotype Prejudice Discrimination

Stereotype, prejudice, and discrimination are interconnected concepts that play a significant role in shaping attitudes and behaviors toward individuals or groups based on perceived characteristics such as race, religion, or disability.

Stereotype

Stereotype refers to a widely held and oversimplified belief or mental image about a particular group of people. Stereotypes often involve generalizations and assumptions about the characteristics, behaviors, or abilities of individuals within that group. For example, the stereotype that women are less competent in technical fields is a pervasive belief that can lead to biases in hiring decisions and educational opportunities. Another prevalent stereotype is that challenges in speaking ability (a function of the oral-motor muscles) amongst many autistics must equal low cognitive ability. Stereotypes can be overly positive too (such as all autistics must be tech geniuses) and negative, but they tend to oversimplify and dehumanize individuals by reducing them to a set of assumed traits.

Prejudice

Prejudice, on the other hand, involves a negative emotional or evaluative response directed at individuals or groups based on their perceived attributes or membership in a particular category. It represents an attitude or a set of attitudes characterized by bias, animosity, or irrational dislike. Prejudice can manifest as feelings of hostility, resentment, or fear toward the target group and often results from stereotypes. For instance, a person who holds a prejudice against a certain ethnic group may harbor negative emotions and beliefs about its members, leading to discriminatory behaviors or attitudes.

Discrimination


Discrimination encompasses actions or behaviors that treat individuals or groups unfairly or unjustly based on their perceived attributes or group membership. Discrimination can take various forms, including institutional discrimination (e.g., discriminatory laws or policies), interpersonal discrimination (e.g., unfair treatment by individuals), and microaggressions (subtle, often unintentional acts of discrimination). Discriminatory actions can result from prejudiced attitudes or stereotypes and can have serious consequences, such as limiting opportunities, perpetuating inequality, and causing harm to individuals' physical and mental well-being. Addressing discrimination involves efforts to promote equality, enforce anti-discrimination laws, and challenge biased attitudes and behaviors in society.

Why It Matters


Understanding these three concepts—stereotype, prejudice, and discrimination—is essential for addressing social and systemic issues related to inequality and bias. It is crucial to recognize the role these concepts play in shaping individual and societal attitudes and to work toward creating a more inclusive and equitable world where individuals are judged based on their unique qualities and contributions rather than on stereotypes or prejudiced beliefs.
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Versions of this article: For  Academic/Scientific Audience and #PlainSpeak for Lay Audience

Contemplation

Altruism is the radiant light of compassion that illuminates the interconnectedness of all beings, reminding us that our true fulfillment lies not solely in self-interest but in the profound joy of lifting others toward their own potential.

In daily life, practice altruism by embracing small acts of kindness, listening with empathy, and extending a helping hand whenever you can, for it is in these moments that the beauty of our shared humanity truly shines.

Attribution Errors

Attribution errors, also known as attribution biases, are cognitive biases that affect how individuals interpret and explain the behavior of themselves and others. These biases involve making inaccurate or biased judgments about the causes of behaviors, often by attributing them to dispositional (internal) factors or situational (external) factors. One common attribution error is the fundamental attribution error (FAE), which occurs when people tend to overemphasize dispositional factors and underestimate situational factors when explaining the behavior of others. For instance, if someone witnesses a colleague being late to work, they might attribute it to the colleague's laziness or lack of punctuality (dispositional), while ignoring the possibility that the colleague might have encountered traffic or had an emergency (situational).

Another attribution error is the actor-observer bias, which relates to the tendency for individuals to attribute their own behavior to situational factors (e.g., "I was late because of traffic") but attribute the behavior of others to dispositional factors (e.g., "They were late because they're always irresponsible"). This bias highlights the differing perspectives people have when explaining their own actions versus the actions of others, often giving themselves the benefit of the doubt while judging others more critically. Understanding attribution errors is essential because they can lead to misunderstandings and conflicts in interpersonal relationships and can affect how individuals perceive and interact with others. Recognizing these biases can help people become more empathetic and make more accurate judgments about the behaviors and motivations of those around them.



Compassion is the heart's way of responding to the suffering of others

Towards a more Humane Society. Contemplating an emotion, 1 line a day. Our divided and conflicted world needs compassion more than ever.  #MentalHealth. 

Compassion is the heart's way of responding to the suffering of others. 
 

The Problem with DEI

DEI initiatives often assume that if you open the door, targeted people will automatically rush in. But these targeted population were told for so long that this door did not belong to them, or that its too hard for them, you are not intelligent /capable enough;  if this has been the messaging of the last 100 years, there is going to be unconscious bias, where part of you starts believing this to be true (like when women are told prior to a math test, that women are bad in math, they end up doing worse on the test than if not told that info).

So the initiative has to be both opening the door and also nudges from other end saying, you can do this, we welcome you and will work to support you, demystifying the process of what the door is and how to go about even approaching that door.

And why don't DEI initiatives automatically include disability or when disability is included, its often as an afterthought when it's pointed out that it's probably not PC to exclude. Why is disability not recognized as a very very historically marginalized group at the onset. The fact of a childhood disability for instance means the exclusion starts in childhood itself which perpetuates and intensifies the exclusion as you age. (Somehow the fact of disability transcends even the color of your skin and you are pushed to the bottom of the food chain). 

p-value goes knock knock

Knock, knock.
Who's there?
P-value.
P-value who?
P-value less than 0.05, and I'm statistically significant enough to knock your null hypothesis out of the park!

-Hari Srinivasan

p-value

p-value for the layman

Statistics can often feel like a labyrinth of complex numbers and jargon. In the world of statistics, p-values are your compass. While the concept may seem a bit abstract at first, p-values are like a traffic light for your scientific discoveries, guiding you to proceed with caution or giving you the green light to embrace a new understanding of the world.

What is a p-value?

At its core, a p-value is a number that helps us determine the significance of an observation or result in statistical analysis. Imagine you've conducted an experiment or a survey, and you want to know if your findings are meaningful or just a result of chance. The p-value is your guide.

The Role of Probability

To grasp p-values, you need to understand the concept of probability. Think of it as a measure of how likely something is to happen. In statistics, we often want to know the probability of observing certain data if there's no real effect or difference. This is where p-values come into play.

Hypotheses: The Foundation

In any scientific study, you start with two hypotheses: the null hypothesis (H0) and the alternative hypothesis (H1). The null hypothesis represents the idea that there's no significant effect or difference, while the alternative hypothesis suggests the opposite – that there is a significant effect or difference.


The Experiment and the Data

You gather your data, conduct your analysis, and calculate a test statistic, which quantifies the difference between your observed data and what you would expect under the null hypothesis. This test statistic follows a particular distribution, like the normal distribution for many common statistical tests.

The P-Value's Revelation

Here's the moment of truth: the p-value tells you the probability of obtaining a test statistic as extreme as, or more extreme than, the one you calculated if the null hypothesis is true. In simpler terms, it answers the question: "How likely is it that my observed results are just due to random chance?"

Interpreting P-Values

Now, the key interpretation comes into play. If your p-value is small, typically less than 0.05 (but it can vary depending on the field), it suggests that your observed results are unlikely to have occurred by chance alone. This is your green light to reject the null hypothesis and accept that you've found something significant.

Conversely, if your p-value is large (greater than 0.05), it indicates that your observed results are quite likely to be explained by random chance, and you should stick with the null hypothesis.

It's Not Absolute Proof

One crucial thing to understand is that p-values don't provide absolute proof or disproof. They offer a level of evidence, but they can't tell you the size of an effect or whether it's practically meaningful. They merely guide you in determining if your results are statistically significant.

Contemplation

Contentment is the curiosity that comes with exploring new things - Hari Srinivasan