There was a united nations vote to make food a human right. There were only two votes against, USA and Israel.
Analysis of previous 10 PYQs of Paper II (UGC NET)π½
π UGC NET Psychology PYQ β Unit-wise Frequency Heatmap
Research Methods & Statistics β 223
Cognitive Psychology β 181
Psychopathology / Clinical β 139
Personality Theories β 117
Developmental Psychology β 102
Social Psychology β 91
Industrial/Organizational β 74
Biopsychology & Neuroscience β 61
Counseling & Health Psychology β 55
Emerging Areas β 27
π Insights
β’ Top 3 Priority Units:
1οΈβ£ Research Methods & Statistics
2οΈβ£ Cognitive Psychology
3οΈβ£ Psychopathology / Clinical
β’ These three alone cover ~55% of total questions.
β’ Personality, Developmental, and Social are secondary but still high yield.
β’ Biopsychology, Counseling, and Emerging Areas appear less frequently β revise them but donβt overinvest time.
π UGC NET Psychology PYQ β Unit-wise Frequency Heatmap
Research Methods & Statistics β 223
Cognitive Psychology β 181
Psychopathology / Clinical β 139
Personality Theories β 117
Developmental Psychology β 102
Social Psychology β 91
Industrial/Organizational β 74
Biopsychology & Neuroscience β 61
Counseling & Health Psychology β 55
Emerging Areas β 27
π Insights
β’ Top 3 Priority Units:
1οΈβ£ Research Methods & Statistics
2οΈβ£ Cognitive Psychology
3οΈβ£ Psychopathology / Clinical
β’ These three alone cover ~55% of total questions.
β’ Personality, Developmental, and Social are secondary but still high yield.
β’ Biopsychology, Counseling, and Emerging Areas appear less frequently β revise them but donβt overinvest time.
β€7
Forwarded from wayOFsychology Library via @QuizBot
π² Quiz '.'
π 15 questions Β· β± 30 sec
π 15 questions Β· β± 30 sec
Hello everyone,
I am building an early-stage project at the intersection of mental health and AI/ML. The idea is to explore innovative ways to assess and support mental health using technology (features like face-tracking, typing speed analysis, sleep/phone usage patterns, etc.).
I am currently looking for people with an AI/ML background who are interested in joining as founding research members.
β‘ What youβll be doing:
- Exploring and testing open-source AI/ML tools for face-tracking, keystroke dynamics, and behavior monitoring.
- Reviewing existing research papers and feasibility studies in applied AI/ML for mental health.
- Helping shape the technical direction of the project from the ground up.
π Important to note:
- This is unpaid at the initial stage.
- Early contributors will be acknowledged as founding members and will share in the rewards if/when the project is up and running.
- This is a great opportunity to gain real-world startup experience, work on an interdisciplinary project, and add high-value experience to your CV/portfolio.
If youβre genuinely motivated and curious about applying AI/ML in mental health, Iβd love to connect. Please reach out to me directly!
Best regards
@thatkafka
I am building an early-stage project at the intersection of mental health and AI/ML. The idea is to explore innovative ways to assess and support mental health using technology (features like face-tracking, typing speed analysis, sleep/phone usage patterns, etc.).
I am currently looking for people with an AI/ML background who are interested in joining as founding research members.
β‘ What youβll be doing:
- Exploring and testing open-source AI/ML tools for face-tracking, keystroke dynamics, and behavior monitoring.
- Reviewing existing research papers and feasibility studies in applied AI/ML for mental health.
- Helping shape the technical direction of the project from the ground up.
π Important to note:
- This is unpaid at the initial stage.
- Early contributors will be acknowledged as founding members and will share in the rewards if/when the project is up and running.
- This is a great opportunity to gain real-world startup experience, work on an interdisciplinary project, and add high-value experience to your CV/portfolio.
If youβre genuinely motivated and curious about applying AI/ML in mental health, Iβd love to connect. Please reach out to me directly!
Best regards
@thatkafka
β€6
π₯ WHY WE SNAP AT LOVED ONES FIRST π₯
It feels unfair⦠but we often lose patience with the people closest to us....
You use up self-control at work, strangers, stress β by the time youβre home, patience runs low....
π‘ Awareness helps. Donβt justify snapping --- but understand it. Then repair with #honesty
wayOFpsychology
It feels unfair⦠but we often lose patience with the people closest to us....
β§ Psychology says-- itβs Ego Depletion β§
You use up self-control at work, strangers, stress β by the time youβre home, patience runs low....
π‘ Awareness helps. Donβt justify snapping --- but understand it. Then repair with #honesty
wayOFpsychology
β€3
Forwarded from wayOFsychology Library
Brief Psychology Psychological Disorders Notes.pdf
385.3 KB
Brief Psychology Psychological Disorders Notes.pdf
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How Psychology Works.pdf
41.2 MB
#pdf
Essential Psychology PDF π a crisp guide for beginners & a powerful tool for quick revision π§ . Perfect for exam prep & quick psychology notes pdf....
#PsychologyPDF #QuickRevision
Essential Psychology PDF π a crisp guide for beginners & a powerful tool for quick revision π§ . Perfect for exam prep & quick psychology notes pdf....
#PsychologyPDF #QuickRevision
Forwarded from wayOFsychology Library
π§ CENTRAL LIMIT THEOREM (CLT)
When you take many random samples from any population and calculate their means, the distribution of those means starts looking like a normal curve -- even if the original population isnβt normal.
β Works best when sample size β₯ 30.
β As sample size grows, sample means cluster near the true population mean.
β This makes it possible to use hypothesis testing and confidence intervals, since we can assume normality of means.
IN SHORT:
Big enough samples make averages behave predictably normal, no matter how messy the population is.
wayOFpsychologyβ
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LEARNED HELPLESSNESS
β§ FOUNDER: Martin Seligman (1970s)
β§ CORE IDEA: Repeated failure β belief that one has no control β passivity, depression.
β§β§ EXAMPLE: Dog experiments (electric shocks β inaction).
β§ USE: Depression treatment, motivation studies, resilience training.
β€1
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WORD OF THE DAY
β§ META-COGNITION β§
Coined by JOHN FLA VELL (1979) in #cognitive_psychology. It means βthinking about thinkingβ-- awareness and control over oneβs own mental processes.
π‘ High meta-cognition helps in problem-solving, self-regulation, and learning.
This channel contains:
πͺPsychCorner INDEX
πPsychological Terms Alphabetically
π‘Psychologists Overview
πTherapies
πTheories
π¬Experiments
πCase Studies
π§ Psychological Disorders
β’β’To access most of them, click here
β’β’Access psychological terms from here
β’β’Access therapies from here
β’β’Access psychological disorders from here
πͺPsychCorner INDEX
πPsychological Terms Alphabetically
π‘Psychologists Overview
πTherapies
πTheories
π¬Experiments
πCase Studies
π§ Psychological Disorders
β’β’To access most of them, click here
β’β’Access psychological terms from here
β’β’Access therapies from here
β’β’Access psychological disorders from here
β€2
Forwarded from Β° wayOFpsychology Β°
Some nights your mind feels heavier than your body.
You replay moments you canβt change.
You think about people you miss.
You question your own strength.
You are allowed to rest.
You are allowed to take a break from being strong.
You are allowed to simply exist today.
Not every day is meant for growth.
Some days are meant for healing...
quietly, gently, silently.
#BREATHE.
Loosen your shoulders.
Let the day go....
You replay moments you canβt change.
You think about people you miss.
You question your own strength.
If this is one of those nights, read this slowly:
You are allowed to rest.
You are allowed to take a break from being strong.
You are allowed to simply exist today.
Not every day is meant for growth.
Some days are meant for healing...
quietly, gently, silently.
#BREATHE.
Loosen your shoulders.
Let the day go....
Tomorrow needs a calmer you.
Tonight, just be. πβ¨
Forwarded from wayOFsychology Library
The Error You Donβt Know Youβre Makin Actor-Observer Biasπ
β§ Most students learn Fundamental Attribution Error #and Self-serving Bias separately.
But in real situations, both overlap and create what can be called a FUSION ATTRIBUTION PATTERN
{Actor-Observer Bias}
π a state where the mind simultaneously protects the ego and misjudges others.π
EXAMPLE (A Failure)
βA student fails to submit a major project on time.
πβWhen I am the #Actor: "I had too many other deadlines this week; the system was down."
β(Mechanism: Self-Serving Bias)
πβWhen I am the #Observer (judging a classmate): "He's disorganized and lazy; he just doesn't care about his grades."
β(Mechanism: Fundamental Attribution Error)
TWO BIASES MERGE.
This #fusion predicts conflict, status judgments, and even long-term resentment.
Why it matters academically
β§β§ Recent #social_cognition studies show that attribution biases rarely appear #individually in natural settings; instead, they interact #systematically.
wayOFpsychologyβ
β€2
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between and within group design.pdf
1.8 MB
between and within group design.pdf
Take a look and react if you like it. Iβll post the rest....
β€4
Forwarded from wayOFsychology Library
πMulti-Store Model vs Working Memory: Different Questions, Different FunctionsπThe Multi-Store Model addresses a structural question:
Where does #information go as time passes?π
β§ It Explains the flow from sensory input to short-term storage and then to long-term storage.
πThe Working Memory Model addresses a functional question:
What happens in the mind during active thinking?π
β§ It explains how information is temporarily held and manipulated while reading, reasoning, or solving problems.
Same topic.
Different psychological focus.
β wayOFpsychologyβ
β€3
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#CONCEPT_SNAPSHOT
πMODULAR COGNITION FRAMEWORKπ
Proposes the mind consists of specialized processing units.
β’ Modules handle specific tasks
β’ Fast and automatic processing
β’ Limited flexibility
β’ Often domain-specific
Jerry Fodor (1983)
Argued against general-purpose cognition.
πContrasts withβ’β’ General-purpose cognition models.π
β wayOFpsychologyβ
πMODULAR COGNITION FRAMEWORKπ
Proposes the mind consists of specialized processing units.
Key Points
β’ Modules handle specific tasks
β’ Fast and automatic processing
β’ Limited flexibility
β’ Often domain-specific
Psychologist
Jerry Fodor (1983)
Argued against general-purpose cognition.
πContrasts withβ’β’ General-purpose cognition models.π
β wayOFpsychologyβ
Forwarded from wayOFsychology Library
πCOGNITIVE ARCHITECTUREπ
β Knowledge stored in distributed networks.
β Simultaneous multi-unit activation.
Specialized, domain-specific mental systems.
β Learning limited by working memory capacity.
β’ Connectionism
β Knowledge stored in distributed networks.
β’ Parallel Distributed Processing
β Simultaneous multi-unit activation.
β’ Modularity (Fodor, 1983) β
Specialized, domain-specific mental systems.
β’ Cognitive Load (Sweller, 1988)
β Learning limited by working memory capacity.
β€1
Forwarded from Β° wayOFpsychology Β°
π§ The distinction most students miss in exams:
Both are memory loss. But the direction is everything.
πRetrograde Amnesia
Cannot recall memories before the injury.
The past is gone. New memories can still form.
πAnterograde Amnesia
Cannot form new memories after the injury.
Past intact. Present doesn't stick.
Patient H.M.
Hippocampus removed in 1953.
Could recall his childhood perfectly.
Could not remember anyone he met after surgery β including his doctors, every single day.
β οΈ Exam Trap
Retro = before injury
Antero = after injury
#CUET2026 #Memory #PsychologyRevision
Retrograde vs Anterograde Amnesia
Both are memory loss. But the direction is everything.
πRetrograde Amnesia
Cannot recall memories before the injury.
The past is gone. New memories can still form.
πAnterograde Amnesia
Cannot form new memories after the injury.
Past intact. Present doesn't stick.
CLASSIC CASE
Patient H.M.
Hippocampus removed in 1953.
Could recall his childhood perfectly.
Could not remember anyone he met after surgery β including his doctors, every single day.
β οΈ Exam Trap
Retro = before injury
Antero = after injury
#CUET2026 #Memory #PsychologyRevision
π1
Forwarded from Β° wayOFpsychology Β°
The "N-Effect": Why Big Crowds Kill Your Drive
βEver felt more motivated in a small group than in a massive exam hall? Thatβs the N-Effect.
β’Social psychology shows that as the number of competitors (N) increases, your individual effort actually decreases.
β’Your brain isn't being lazy; it's being a cold-blooded statistician. It subconsciously calculates that in a crowd of 1,000, your "odds of winning" are too low to justify burning maximum energy.