Implicit and explicit bias
Implicit bias, also known as unconscious bias, refers to the automatic and unintentional attitudes or stereotypes that individuals hold about certain groups, even when they are unaware of these biases. These biases are typically deeply ingrained in our subconscious minds and can influence our actions and decisions without conscious awareness. For example, a person may hold implicit biases that lead them to associate certain racial groups with negative traits or behaviors, despite consciously believing in equality and fairness. Research has shown that implicit biases can impact hiring decisions, healthcare outcomes, and interactions with others, often in ways that perpetuate inequality and discrimination. Recognizing and addressing implicit bias is essential for promoting diversity, equity, and inclusion in various aspects of society.
Explicit bias, on the other hand, is conscious and deliberate prejudice or discrimination against specific groups of people. Unlike implicit bias, explicit bias is readily recognized by the individual holding these beliefs. For instance, an individual openly expressing discriminatory attitudes or engaging in discriminatory behaviors toward people of a certain ethnicity demonstrates explicit bias. Explicit bias can manifest in forms such as hate speech, discriminatory policies, or acts of prejudice. While implicit bias often operates beneath conscious awareness, explicit bias is a more overt and intentional form of bias. Combating explicit bias typically involves education, awareness campaigns, and legal measures to address and reduce discrimination. Both implicit and explicit biases are important to understand and address in order to promote a more equitable and inclusive society.
Crimson Fridays
Feeling end of semester pressure #gradschool
If Blue is for Monday, then I assign Crimson for Friday
CRIMSON FRIDAYS
Stereotype Prejudice Discrimination
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, 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 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.
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.
Attribution Errors
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.
p-value
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.
The Decerebrate Cat Walking Experiment
In the realm of scientific exploration, certain experiments push boundariesin ways not acceptable by modern ethical standards. One such experiment involves decerebrate cats (popular in the 1940-50s and not done anymore), but which shed light on locomotion,
The Decerebrate Cat Walking Experiment: The video showcases a decerebrate cat walking on a treadmill at varying speeds, revealing three distinct gait patterns. Decerebrate cats have had their cerebral cortex removed, leaving the brainstem intact. Essentially the cat was paralyzed as its spinal cord didn't talk to its brain anymore which means there was not enough muscle tone to keep the body upright; so researched used a harness to hold the weight of the body.
Locomotion was initiated by sensory input of the limbs on the moving thredmill.
The primary goal of these experiments was to explore the extent of the brain's involvement in controlling movement. At what level in the brain is behavior (locomotion) controlled. Researchers aimed to test the idea that much of locomotion control might be inherent to an animal's biomechanics, rather than relying heavily on conscious brain commands.
Findings:
- Minimal Brain Control: during locomotion, especially in activities like walking, trotting, or running, minimal control comes from the brain itself. Instead, the experiments suggest that a significant portion of locomotion control is achieved through biomechanical and morphological features of the animal's body.
- Biomechanical Design: The experiments support the concept of passive dynamic locomotion, which proposes that animals are capable of controlling their movements efficiently by taking advantage of their natural biomechanical structure.
Phrenology according to Gall. A Historical Curiosity
The prevailing view of the era was dominated by religious or philosophical beliefs rather than empirical research. Gall's ideas challenged long-held beliefs about the nature of the mind and the brain and landed in a lot of hot water.
And the hot water was not just religions, but also social. Phrenology also had practical implications, as some individuals and organizations began using it for character assessment in various contexts, such as education and employment. This raised ethical and legal questions about the fairness and validity of making judgments about people based on phrenological assessments.
Gall's most notable contribution was his intricate neuroanatomy diagram, which depicted the brain as a series of localized faculties or organs, each responsible for a particular aspect of personality or behavior. The size of these organs corresponded to a person's character traits and abilities. Obviously this is quite incredulous by today's standards - a historical curiousity.
- Firmness (in frontal lobe) Development of this area in the frontal lobe was associated with determination, willpower, and the ability to persevere in the face of challenges.
- Immortality: linked to religious and moral tendencies, as well as a sense of spirituality.
- Veneration (Parietal Love): related to feelings of respect, admiration, and reverence for authority figures or ideals
- Destructiveness (in lower back of brain): aggressive and combative behaviors, as well as a propensity for violence.
- Benevolence (frontal love): linked to kindness, empathy, and a compassionate nature.
- Acquisitiveness (forehead): desire for material wealth and possessions.
- Wit (Frontal Lobe): responsible for humor, quick thinking, and cleverness.
- Love of Offspring (back of brain):linked to parental instincts and the love and care of one's children.
- Secretiveness (Upper back of brain): associated with the tendency to keep secrets and be discreet.
- Self-Esteem (upper back of head): related to self-confidence, pride, and a sense of self-worth.