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DATE: May 12, 2026 at 07:49AM
SOURCE: SOCIALPSYCHOLOGY.ORGTITLE: Israel Legalizes Death Penalty for Those Guilty of Worst Oct. 7 Crimes
Source: United Press International - Health News
Israel's Knesset unanimously passed a death penalty law for Palestinians found guilty of genocide in the October 7, 2023, attacks on the country. Lawmakers on Monday voted 93-0 for the legislation, which also establishes a special military court to try about 300 suspects who were alleged to have been involved and were detained by security forces inside Israel. More than a fifth of Knesset Members either abstained or were absent for the vote.
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DATE: May 12, 2026 at 07:49AM
SOURCE: SOCIALPSYCHOLOGY.ORGTITLE: Israel Legalizes Death Penalty for Those Guilty of Worst Oct. 7 Crimes
Source: United Press International - Health News
Israel's Knesset unanimously passed a death penalty law for Palestinians found guilty of genocide in the October 7, 2023, attacks on the country. Lawmakers on Monday voted 93-0 for the legislation, which also establishes a special military court to try about 300 suspects who were alleged to have been involved and were detained by security forces inside Israel. More than a fifth of Knesset Members either abstained or were absent for the vote.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Israel #DeathPenalty #Genocide #October7 #Knesset #IsraelLegalizes #MilitaryCourt #Palestinians #SecurityForces #LegalNews
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DATE: May 12, 2026 at 07:49AM
SOURCE: SOCIALPSYCHOLOGY.ORGTITLE: Israel Legalizes Death Penalty for Those Guilty of Worst Oct. 7 Crimes
Source: United Press International - Health News
Israel's Knesset unanimously passed a death penalty law for Palestinians found guilty of genocide in the October 7, 2023, attacks on the country. Lawmakers on Monday voted 93-0 for the legislation, which also establishes a special military court to try about 300 suspects who were alleged to have been involved and were detained by security forces inside Israel. More than a fifth of Knesset Members either abstained or were absent for the vote.
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Israel #DeathPenalty #Genocide #October7 #Knesset #IsraelLegalizes #MilitaryCourt #Palestinians #SecurityForces #LegalNews
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DATE: May 12, 2026 at 07:49AM
SOURCE: SOCIALPSYCHOLOGY.ORGTITLE: Israel Legalizes Death Penalty for Those Guilty of Worst Oct. 7 Crimes
Source: United Press International - Health News
Israel's Knesset unanimously passed a death penalty law for Palestinians found guilty of genocide in the October 7, 2023, attacks on the country. Lawmakers on Monday voted 93-0 for the legislation, which also establishes a special military court to try about 300 suspects who were alleged to have been involved and were detained by security forces inside Israel. More than a fifth of Knesset Members either abstained or were absent for the vote.
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NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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DATE: May 13, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: The human brain processes the passage of time across three distinct stages
URL: https://www.psypost.org/the-human-brain-processes-the-passage-of-time-across-three-distinct-stages/
A recent study mapping the human brain reveals that our perception of time does not happen all at once, but rather unfolds across a series of distinct physical processing stages. As visual information travels from the back of the brain to the front, different groups of neurons handle specific parts of the timing process, ultimately creating our subjective experience of how long an event lasts. These findings were published in the journal PLOS Biology.
For decades, researchers have mapped out a broad network of brain regions that become active when people estimate how much time has passed. Studies involving both animals and humans have shown that certain groups of neurons respond to specific durations of time.
These specialized cells are often arranged in topographic maps across the brain. In these maps, neurons that prefer similar lengths of time are located physically close to one another on the folded outer layer of the brain, known as the cerebral cortex.
Despite knowing where these timing regions are located, researchers have struggled to understand exactly how they work together. It has been unclear how a physical feature like the duration of a flashing light is transformed into an abstract feeling of passing time.
To piece together this puzzle, neuroscientist Valeria Centanino and her colleagues Gianfranco Fortunato and Domenica Bueti at the International School for Advanced Studies in Italy conducted an imaging study. They wanted to track how the properties of time-tracking neurons change as signals move through the brain.
The researchers recruited thirteen healthy volunteers to perform a visual categorization task. First, the participants were trained to memorize a specific reference duration of half a second, which they would use as a mental benchmark.
During the main experiment, the volunteers watched a series of blurry, flickering circles appear on a screen. Each circle stayed on the screen for a random amount of time, ranging between two-tenths of a second and eight-tenths of a second.
After each circle disappeared, the participants pressed a button to indicate whether the shape was visible for a longer or shorter time than their internalized reference. While the volunteers performed this task, the researchers recorded their brain activity using an ultra-high-field functional magnetic resonance imaging scanner.
Functional magnetic resonance imaging is a technology that measures brain activity by detecting changes in blood flow. When a specific area of the brain works harder, it requires more oxygen, and the scanner tracks the oxygen-rich blood rushing to that region.
The scanner used in this study operates at a magnetic field strength of seven Tesla. This is much stronger than standard hospital scanners, allowing the team to capture highly detailed images of the brain surface.
With these detailed images, Centanino and her team modeled the behavior of individual populations of neurons. They looked for unimodal tuning, which happens when a group of brain cells responds most strongly to one specific stimulus and less strongly to anything else.
The researchers found that the way neurons tuned into time changed depending on their location in the brain. They identified three distinct processing stages that form a hierarchy of time perception.
The first stage occurs in the occipital visual areas, located at the back of the head where the brain first processes sight. Here, the neurons acted like simple timers that gathered sensory information from the eyes.
In these visual areas, the brain cells showed a strong preference for the longest durations. Their activity increased steadily the longer the shape stayed on the screen, encoding the physical length of the visual event.
The second stage takes place in the parietal and premotor regions, which sit near the top and middle of the brain. In these areas, the researchers observed a complete topographic map of time.
Neurons in these middle regions were tuned to the entire range of presented durations. Some groups of cells responded only to brief flashes, while others responded only to medium or long appearances.
These specialized cells were neatly organized into clusters based on their preferred durations. This suggests that the parietal and premotor regions are responsible for reading out the specific duration of the visual event, allowing the brain to track exactly how much time just passed.
The final stage happens in the frontal regions of the brain, including the anterior insula and the rostral supplementary motor area. These areas are heavily involved in complex thought, decision making, and self-awareness.
In these frontal areas, the neurons did not represent the full range of time. Instead, they showed a strong preference for the middle of the time range, which was close to the half-second reference duration the participants had memorized.
This central preference represented the boundary that participants used to decide whether a duration was short or long. By tracking the exact time at which participants switched their answers from “shorter” to “longer,” the researchers calculated each person’s unique subjective boundary.
The activity in these frontal regions matched up perfectly with these subjective boundaries. This indicates that the frontal areas take the raw measurement of time and turn it into a personal, abstract categorization.
“Our results show that time perception is not a unitary process, but the outcome of multiple processing stages distributed across the cerebral cortex,” the authors wrote. “Each stage contributes differently, from encoding physical duration to constructing the subjective experience of time.”
To interpret the brain scan data, the research team used a mathematical approach called population receptive field modeling. This technique allowed them to estimate the exact time preference of neurons in tiny sections of the brain.
By mapping these preferences, the team could see exactly which brain folds contained neurons tuned to brief moments and which contained neurons tuned to longer stretches. They also evaluated how these preferences clustered together physically.
In the visual areas at the back of the brain, the physical clustering of time-sensitive cells was relatively weak. However, in the parietal and frontal regions, neurons with the exact same time preferences were grouped tightly together.
This tight grouping implies that organizing time into structured maps becomes more important as the brain moves from simply seeing an event to making a decision about it. The brain physically structures its cells to handle the demands of categorizing information.
Additionally, the researchers noticed a difference between the left and right sides of the brain in the motor areas, which control physical movement. Because the participants used their right hands to press the response buttons, the motor areas in the left hemisphere showed distinct activity patterns.
These motor areas consistently showed a preference for the shortest possible durations. The researchers suspect this was a byproduct of the brain preparing to make a physical movement as soon as the shape appeared, rather than a true measurement of passing time.
Another surprising detail emerged in the supplementary motor area, a part of the brain near the top of the head that helps plan movements. The researchers found a clear split in how the front and back sections of this region handled time.
The back half of the supplementary motor area contained cells tuned to the entire range of durations, reading out the time like a stopwatch. The front half contained the boundary cells that helped categorize the time as short or long.
This split within a single brain region had been seen previously in animal studies. Finding it in humans suggests that this specific area might act as a central hub where actual time and subjective time are integrated.
While this imaging study provides a detailed roadmap of visual time perception, it does have a few limitations. The research focused entirely on the cerebral cortex, which is the brain’s folded outer layer.
The team did not measure activity in deeper brain structures or the cerebellum, which are also known to play roles in processing time. Future studies will need to look at these deeper regions to see how they interact with the cortical maps.
The experiment was also restricted to visual time perception. It remains an open question whether the brain uses this exact same pathway to process the duration of sounds or physical touches.
To fully understand the boundary neurons in the frontal lobe, the researchers suggest conducting experiments that test multiple different reference durations. This would reveal whether the boundary cells physically shift their preferences when the rules of the task change.
Despite these limitations, the research offers a clearer picture of how a simple flash of light turns into a conscious experience of time. It reveals that our sense of time is a collaborative effort, passed along a specialized assembly line inside the head.
The study, “Neuronal populations across the cortex underlie discrete, categorical, and subjective representations of visual durations,” was authored by Valeria Centanino, Gianfranco Fortunato, and Domenica Bueti.
URL: https://www.psypost.org/the-human-brain-processes-the-passage-of-time-across-three-distinct-stages/
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #TimePerception #BrainTimeProcessing #CorticalTimeMaps #NeuronalTiming #VisualTimeProcessing #PopulationalFieldModeling #PLOSBiology #Neuroscience #TemporalEncoding #BrainHierarchy
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DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
-------------------------------------------------
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #GenerativeAI #CreativityDiversity #AICoCreation #Homogenization #CreativeThinking #AIImpact #CreativeDiversity #LLMs #TechEthics #InnovationScience
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DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
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DATE: May 14, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Real-world evidence shows generative AI is making human creative output more uniform
Using artificial intelligence for creative tasks tends to make human output more uniform on a collective level. A recent preprint study provides evidence that while these tools might boost individual performance, they contribute to an overall reduction in the diversity of ideas across different users. This widespread reliance on automated assistance could lead to a narrower range of concepts in collaborative environments.
Generative artificial intelligence refers to computer programs capable of creating new text, images, or other media based on user instructions. The most common of these tools rely on large language models. Developers build these models by feeding them billions of sentences from the internet, allowing the software to recognize patterns and predict how words should follow one another.
Since many users interact with similar systems trained on overlapping data, scientists have raised concerns about how this technology shapes human thought. Researchers Alwin de Rooij, assistant professor in creativity research at Tilburg University and associate professor at Avans University of Applied Sciences, and Michael Mose Biskjaer, associate professor in design creativity and innovation at Aarhus University, designed a new study to assess these concerns. They noticed that previous research often focused on how these tools help individuals work faster or overcome temporary mental blocks.
They wanted to know if this individual assistance comes at a collective cost. “There are growing concerns that using Generative AI may lead people toward similar creative ideas,” the authors explained. “While AI can enhance creativity at the individual level, these benefits might come at a cost for creativity at a collective, or even societal, level.”
The authors sought to answer whether generative software makes people think alike. “We sought to address this by conducting a systematic review and meta-analysis of 19 empirical studies,” they noted. “More concretely, we wanted to examine whether and to what extent generative AI use is associated with convergence at the level of creative output, such as people’s ideas, designs, and creative writing.”
A meta-analysis is a statistical technique that combines the results of multiple independent studies to find common patterns or overall trends. By pooling data from various experiments, scientists can draw more robust conclusions than they could from a single test. The authors searched academic databases for studies published between 2022 and early 2026.
This time frame covers the period following the public release of popular chatbots, capturing the first wave of empirical research on this topic. The researchers selected 18 eligible articles containing 19 distinct experimental studies. These studies provided a total of 61 individual effect sizes, which are mathematical values indicating the strength of a specific phenomenon.
To be included in the analysis, the original experiments had to compare humans working with generative software against humans working alone. The original studies measured homogenization using several techniques. Many relied on advanced text analysis tools that translate written responses into mathematical coordinates.
This process allows computers to measure the semantic distance between words, essentially calculating how closely related different ideas are to one another. Other studies used human experts to rate the variety of meanings produced by participants. The analysis revealed a statistically significant homogenization effect associated with the use of artificial intelligence.
When people co-created with these systems, their final products tended to be more similar to the work of other users. “The meta-analysis shows that using generative AI can indeed lead people to think alike,” the authors noted. “Across individuals, AI use tends to make ideas, designs, and creative texts more similar to one another.”
“This suggests that AI may contribute to a form of homogenization of creative thought at the collective level,” they continued. “Importantly, this does not necessarily reflect a failure of human-AI co-creation but may instead be an inherent feature of how these systems currently support creative work at scale.”
The scientists also evaluated whether the type of task influenced the degree of uniformity. They categorized the experiments into four groups, which included divergent thinking, idea generation, writing, and visual art. Divergent thinking tasks are highly open-ended exercises, such as asking someone to list creative uses for a paperclip.
Idea generation tasks provide more specific constraints, such as asking for solutions to improve public transportation. The analysis showed that the homogenization effect was strongest in the idea generation tasks. Because these exercises require specific solutions to defined problems, users likely rely more heavily on the predictable suggestions provided by the computer algorithms.
The researchers did not find strong statistical evidence for differences among the other three categories, suggesting that open-ended tasks lead to less convergence. They also checked if these patterns only happen in highly controlled laboratory settings. The authors compared traditional laboratory experiments with real-world scenarios, such as analyzing published essays and visual artworks created before and after the widespread adoption of automated writing tools.
The analysis of these real-world conditions showed a small but significant reduction in idea diversity. “In many ways, the findings resemble classic fixation effects from the psychology literature, where exposure to examples constrains later thinking, but here they appear amplified by the scale and synchronicity of generative AI model use,” the researchers stated. “This homogenization effect was observed not only in controlled lab studies but also in real-world quasi-experiments. This suggests that it is not merely a lab-based phenomenon, but a practical concern affecting concrete creative processes and practices.”
De Rooij and Biskjaer also investigated whether this narrowing of ideas persists after a person stops using the software. They isolated a subset of studies that tested participants on new creative tasks after their initial interaction with the computer models. The results suggest that the homogenization effect carries over into these subsequent activities.
“The findings also provide preliminary evidence that homogenization effects may persist beyond moments of direct AI use,” the researchers told PsyPost. “In other words, interacting with these generative AI systems may shape how people think and generate ideas even after the interaction has ended. This potential ‘rub-off’ effect on creative cognition warrants further research and is something we would like to explore in more depth.”
These results closely align with another recent study published in the journal PNAS Nexus. Scientists Emily Wenger and Yoed N. Kenett tested how large language models affect human creativity by evaluating 22 different commercial chatbots. They recruited 102 human participants to complete a series of verbal creativity tests, including the alternative uses task, and then asked the chatbots to complete the exact same assignments.
Wenger and Kenett found that individual language models performed at or slightly above the level of the average human on most exercises. When viewed in isolation, a single chatbot provided highly original and creative responses. However, when the scientists compared all the responses from the different models, a stark pattern of similarity emerged.
Across all tasks, the computer programs produced answers that were significantly more alike than the answers provided by the human participants. Both sets of researchers point to similar underlying mechanisms for this phenomenon. Because the major technology companies train their models on massive, overlapping datasets scraped from the internet, the programs naturally gravitate toward the most statistically common word associations.
When thousands of people use these tools to generate ideas, the software acts as a semantic anchor. The models pull human users toward a shared set of typical concepts, reducing the overall variety of ideas. Wenger and Kenett attempted to fix this issue by adjusting the internal settings of the chatbots to force more random text generation, but this caused the models to produce nonsensical sentences.
Readers should avoid interpreting these findings as proof that human beings are becoming entirely uncreative. De Rooij and Biskjaer note that the reduction in collective diversity does not equal a total loss of individual ability. “A key point is that our findings do not show that using AI reduces creativity,” the researchers emphasized.
“Rather, they point to a shift in where and how creative diversity occurs, and where it may be constrained,” the authors said. “Individual output can improve in creative quality while becoming more similar across people. While these effects are often subtle in single instances, they may become meaningful when considered at the scale at which generative AI is now being used.”
The authors point out some limitations to their current analysis. The review primarily focuses on text-based tools and large language models, meaning the findings might not apply to other types of computer systems. For instance, adaptive machine learning programs or tools used for music composition were not adequately represented in the available data.
This restricts how broadly the scientific community can apply these conclusions across different artistic domains. Additionally, the analyses regarding long-term persistence and real-world applications relied on relatively small groups of studies. The limited data makes these specific conclusions tentative and open to revision.
Future research should explore different forms of human and machine collaboration over extended periods of time. “An important next step is rethinking how generative AI systems are designed and used in creative contexts to mitigate homogenization effects,” the authors noted. “This includes exploring alternative workflows, interaction designs, and creative strategies that sustain diversity rather than encourage early convergence.”
“One step in this direction has already been taken by mapping creative strategies for working with generative AI and machine learning, based on analyses of AI art practices,” they added, referencing a recently published article outlining this approach. “We believe these strategies can transfer to other creative domains.”
The preprint study, “Does Generative AI Make Us Think Alike? A Systematic Review and Meta-Analysis of Homogenization Effects in Human-AI Co-Creation,” was authored by Alwin de Rooij and Michael Mose Biskjaer.
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DATE: May 21, 2025 at 08:30AM
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.@galvanizetx #Aliya could enable one-step tumor #biopsy and #ablation
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DATE: May 21, 2025 at 08:30AM
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.@galvanizetx #Aliya could enable one-step tumor #biopsy and #ablation
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DATE: May 21, 2025 at 08:30AM
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DATE: May 21, 2025 at 08:30AM
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DATE: May 20, 2025 at 06:30PM
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DATE: May 20, 2025 at 06:30PM
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DATE: May 11, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: New study explores the link between mystical psychedelic trips and a reduced fear of dying
A new study published in the Journal of Psychedelic Studies has found that people who have had a meaningful psychedelic experience report a significantly reduced fear of death, alongside heightened feelings of connection to themselves, others, and the world around them. Furthermore, the degree of connection closely tracks the degree of relief from death-related fear.
Researchers have long argued that anxiety about dying sits at the root of a surprisingly wide range of psychological struggles, from depression to broader existential distress. Studies have observed that psychedelic experiences—first noted in terminally ill patients in the mid-20th century and later confirmed in modern controlled research—can drastically reduce this fear, though the mechanisms behind why this happens remain unclear.
One leading explanation is increased connectedness: a heightened sense of relationship to oneself, others, and the wider world. Because psychedelics reliably enhance these feelings, researchers sought to investigate whether greater connectedness might be one of the specific pathways through which psychedelics reduce the fear of death.
Led by Noah N. Barr at the University of Wollongong in Australia, the team recruited 106 adults (59 male, 44 female, 2 non-binary; average age 31 years) who had undergone a personally meaningful psychedelic experience using a classical substance. Psilocybin (the active compound in “magic mushrooms”) was the most common, though LSD, ayahuasca, DMT, and mescaline were also represented.
Using an anonymous online survey, participants reflected retrospectively on the three months before and the three months after their experience. They completed validated questionnaires measuring their fear of death, their tendency to avoid thinking about death, their sense of connectedness (to themselves, to others, and to the wider world/universe), and the intensity of any mystical-type experiences during their psychedelic session.
The results were consistent. Participants reported a significantly lower fear of death and significantly less death avoidance after their psychedelic experience compared to before. At the same time, they reported significantly greater connectedness across all three domains.
Crucially, the study found that these changes moved together. People who gained more in their sense of connection to themselves, to others, and to the world were more likely to have also experienced the greatest reductions in their fear of death. Stronger mystical experiences—characterized by feelings of cosmic unity and transcendence—were similarly associated with greater connectedness and a lower fear of death.
However, the findings became more complex when looking at death avoidance—defined as the tendency to actively keep thoughts of death out of conscious awareness. Increases in connectedness to oneself and to others were linked to lower death avoidance. But an increased connectedness to the world, as well as intense mystical experiences, did not predict lower levels of death avoidance.
The authors suggest this split points to two very different ways people process death after a trip. Feeling more connected to oneself and loved ones seems to promote genuine existential acceptance, where a person stops avoiding the topic of death and stops fearing it.
Conversely, intense mystical experiences may promote a “defensive shift.” A person who feels cosmically connected to the universe may stop fearing death, but they still actively avoid thinking about it—likely because the drug changed their metaphysical beliefs, allowing them to bypass human mortality by believing they will merge with the cosmos when they die.
“An important unresolved question is whether reductions in death anxiety following a psychedelic experience arise through defensive denialistic bypassing or through acceptance and integration of mortality,” Barr and colleagues concluded.
There are significant limitations to keep in mind. Chiefly, the study’s retrospective design—asking participants to recall and compare their mental states from months or years prior—is inherently vulnerable to recall bias, selective memory, and the tendency for a person to unconsciously exaggerate how bad they felt before a life-changing event to make the transformation seem more profound.
The study, “Exploring associations between connectedness and death anxiety following a psychedelic experience,” was authored by Noah N. Barr, Briony Larance, Matthew J. Schweickle, and Sam G. Moreton.
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DATE: May 11, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: New study explores the link between mystical psychedelic trips and a reduced fear of dying
A new study published in the Journal of Psychedelic Studies has found that people who have had a meaningful psychedelic experience report a significantly reduced fear of death, alongside heightened feelings of connection to themselves, others, and the world around them. Furthermore, the degree of connection closely tracks the degree of relief from death-related fear.
Researchers have long argued that anxiety about dying sits at the root of a surprisingly wide range of psychological struggles, from depression to broader existential distress. Studies have observed that psychedelic experiences—first noted in terminally ill patients in the mid-20th century and later confirmed in modern controlled research—can drastically reduce this fear, though the mechanisms behind why this happens remain unclear.
One leading explanation is increased connectedness: a heightened sense of relationship to oneself, others, and the wider world. Because psychedelics reliably enhance these feelings, researchers sought to investigate whether greater connectedness might be one of the specific pathways through which psychedelics reduce the fear of death.
Led by Noah N. Barr at the University of Wollongong in Australia, the team recruited 106 adults (59 male, 44 female, 2 non-binary; average age 31 years) who had undergone a personally meaningful psychedelic experience using a classical substance. Psilocybin (the active compound in “magic mushrooms”) was the most common, though LSD, ayahuasca, DMT, and mescaline were also represented.
Using an anonymous online survey, participants reflected retrospectively on the three months before and the three months after their experience. They completed validated questionnaires measuring their fear of death, their tendency to avoid thinking about death, their sense of connectedness (to themselves, to others, and to the wider world/universe), and the intensity of any mystical-type experiences during their psychedelic session.
The results were consistent. Participants reported a significantly lower fear of death and significantly less death avoidance after their psychedelic experience compared to before. At the same time, they reported significantly greater connectedness across all three domains.
Crucially, the study found that these changes moved together. People who gained more in their sense of connection to themselves, to others, and to the world were more likely to have also experienced the greatest reductions in their fear of death. Stronger mystical experiences—characterized by feelings of cosmic unity and transcendence—were similarly associated with greater connectedness and a lower fear of death.
However, the findings became more complex when looking at death avoidance—defined as the tendency to actively keep thoughts of death out of conscious awareness. Increases in connectedness to oneself and to others were linked to lower death avoidance. But an increased connectedness to the world, as well as intense mystical experiences, did not predict lower levels of death avoidance.
The authors suggest this split points to two very different ways people process death after a trip. Feeling more connected to oneself and loved ones seems to promote genuine existential acceptance, where a person stops avoiding the topic of death and stops fearing it.
Conversely, intense mystical experiences may promote a “defensive shift.” A person who feels cosmically connected to the universe may stop fearing death, but they still actively avoid thinking about it—likely because the drug changed their metaphysical beliefs, allowing them to bypass human mortality by believing they will merge with the cosmos when they die.
“An important unresolved question is whether reductions in death anxiety following a psychedelic experience arise through defensive denialistic bypassing or through acceptance and integration of mortality,” Barr and colleagues concluded.
There are significant limitations to keep in mind. Chiefly, the study’s retrospective design—asking participants to recall and compare their mental states from months or years prior—is inherently vulnerable to recall bias, selective memory, and the tendency for a person to unconsciously exaggerate how bad they felt before a life-changing event to make the transformation seem more profound.
The study, “Exploring associations between connectedness and death anxiety following a psychedelic experience,” was authored by Noah N. Barr, Briony Larance, Matthew J. Schweickle, and Sam G. Moreton.
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DATE: May 11, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: New study explores the link between mystical psychedelic trips and a reduced fear of dying
A new study published in the Journal of Psychedelic Studies has found that people who have had a meaningful psychedelic experience report a significantly reduced fear of death, alongside heightened feelings of connection to themselves, others, and the world around them. Furthermore, the degree of connection closely tracks the degree of relief from death-related fear.
Researchers have long argued that anxiety about dying sits at the root of a surprisingly wide range of psychological struggles, from depression to broader existential distress. Studies have observed that psychedelic experiences—first noted in terminally ill patients in the mid-20th century and later confirmed in modern controlled research—can drastically reduce this fear, though the mechanisms behind why this happens remain unclear.
One leading explanation is increased connectedness: a heightened sense of relationship to oneself, others, and the wider world. Because psychedelics reliably enhance these feelings, researchers sought to investigate whether greater connectedness might be one of the specific pathways through which psychedelics reduce the fear of death.
Led by Noah N. Barr at the University of Wollongong in Australia, the team recruited 106 adults (59 male, 44 female, 2 non-binary; average age 31 years) who had undergone a personally meaningful psychedelic experience using a classical substance. Psilocybin (the active compound in “magic mushrooms”) was the most common, though LSD, ayahuasca, DMT, and mescaline were also represented.
Using an anonymous online survey, participants reflected retrospectively on the three months before and the three months after their experience. They completed validated questionnaires measuring their fear of death, their tendency to avoid thinking about death, their sense of connectedness (to themselves, to others, and to the wider world/universe), and the intensity of any mystical-type experiences during their psychedelic session.
The results were consistent. Participants reported a significantly lower fear of death and significantly less death avoidance after their psychedelic experience compared to before. At the same time, they reported significantly greater connectedness across all three domains.
Crucially, the study found that these changes moved together. People who gained more in their sense of connection to themselves, to others, and to the world were more likely to have also experienced the greatest reductions in their fear of death. Stronger mystical experiences—characterized by feelings of cosmic unity and transcendence—were similarly associated with greater connectedness and a lower fear of death.
However, the findings became more complex when looking at death avoidance—defined as the tendency to actively keep thoughts of death out of conscious awareness. Increases in connectedness to oneself and to others were linked to lower death avoidance. But an increased connectedness to the world, as well as intense mystical experiences, did not predict lower levels of death avoidance.
The authors suggest this split points to two very different ways people process death after a trip. Feeling more connected to oneself and loved ones seems to promote genuine existential acceptance, where a person stops avoiding the topic of death and stops fearing it.
Conversely, intense mystical experiences may promote a “defensive shift.” A person who feels cosmically connected to the universe may stop fearing death, but they still actively avoid thinking about it—likely because the drug changed their metaphysical beliefs, allowing them to bypass human mortality by believing they will merge with the cosmos when they die.
“An important unresolved question is whether reductions in death anxiety following a psychedelic experience arise through defensive denialistic bypassing or through acceptance and integration of mortality,” Barr and colleagues concluded.
There are significant limitations to keep in mind. Chiefly, the study’s retrospective design—asking participants to recall and compare their mental states from months or years prior—is inherently vulnerable to recall bias, selective memory, and the tendency for a person to unconsciously exaggerate how bad they felt before a life-changing event to make the transformation seem more profound.
The study, “Exploring associations between connectedness and death anxiety following a psychedelic experience,” was authored by Noah N. Barr, Briony Larance, Matthew J. Schweickle, and Sam G. Moreton.
-------------------------------------------------
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-
CW: Besoin d'aide pour décrypter une colère enfant tsa+tdah
Commence à partir, pour qu'on aille tous les quatre à la boulangerie.
Et là (ter), je pars dans ma psychorigidité autistique en me mettant en colère, parce que je comprends qu'elle tient à ce qu'on mange tous les quatre la même chose. Sauf que son père et moi, on était finalement contents de prendre une crêpe. Et ma colère est suffisamment forte pour qu'une mère essaie de me calmer... Sauf qu'il ne faut pas me parler pile à ce moment-là, parce que je ne peux pas redescendre facilement et la pauvre ne prend aussi ma colère.
3/n
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DATE: May 11, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: The testosterone myth? Large analysis finds no link between the “macho” hormone and risk-taking
A meta-analysis of 52 studies found no link between testosterone levels and risk-taking. In general, only studies where participants completed specific lottery-based economic tasks showed a modest association between testosterone levels and risk-taking, while other types of behavioral studies did not. Furthermore, the lack of association did not depend on participants’ sex. The paper was published in Neuroscience and Biobehavioral Reviews.
Testosterone is a hormone that belongs to a group of hormones called androgens. It is present in both males and females, but it is usually found in much higher levels in males. In males, testosterone is produced mainly in the testes; in females, smaller amounts are produced in the ovaries and adrenal glands.
Testosterone plays an important role in the development of male reproductive organs before birth and during puberty. During puberty, it contributes to changes such as a deeper voice, facial and body hair growth, increased muscle mass, and the growth of the penis and testes. In adults, testosterone helps regulate sexual desire, sperm production, bone density, red blood cell production, and muscle strength. Testosterone levels naturally vary by age, time of day, health status, sleep, stress, body fat, and the use of certain medications.
Study author Irene Sánchez Rodríguez and her colleagues note that, on average, men tend to be more prone to taking risks than women. Various hypotheses have been proposed to explain this gender gap. One prominent biological theory states that the gap is produced by differences in testosterone levels. Another theory, the “dual-hormone hypothesis,” suggests that the behavioral effects of testosterone actually depend on concurrent levels of cortisol, the body’s main stress hormone.
However, studies have not clearly supported the link between testosterone and risk-taking. While some studies have reported that individuals with higher testosterone levels were somewhat more prone to taking financial or physical risks, other studies have found absolutely no association.
The authors of this study conducted a meta-analysis aimed at synthesizing the existing findings to clarify the association between testosterone levels and risk-taking. They searched scientific databases—Google Scholar, PubMed, and Scopus—using “risk seeking,” “risk attitude,” and “risk aversion” as search terms. They looked for studies conducted on humans and sought to include studies examining testosterone alone as well as those testing the dual-hormone hypothesis.
To be included, studies needed to report a statistical association between testosterone and risk preference, to either measure or administer testosterone, and to use at least one behavioral or self-report measure of risk preference. Studies also needed to be written in English, Spanish, or Italian, and provide sufficient data to allow the researchers to calculate an “effect size” (the strength of the link between testosterone levels and risk-taking). In the end, 52 studies comprising 17,340 participants were included in the analyses.
These studies measured risk in various ways, such as gambling games, balloon-popping tasks, or self-reported questionnaires. They also measured testosterone in different ways: some studies used direct blood or saliva tests, some administered experimental doses of the hormone, and some relied on “morphological proxies” (like the ratio of a person’s index and ring fingers, which is theoretically linked to testosterone exposure in the womb).
When the researchers aggregated the data, the results showed that the overall association between testosterone levels and risk-taking across all 52 studies was practically zero. In other words, having high or low testosterone did not reliably predict whether a person would take a risk.
While the overall effect was zero, the data reported by individual studies were very heterogeneous—some studies reported a positive association (higher testosterone – higher risk-taking), while others reported a negative association (higher testosterone – lower risk-taking).
Further analyses revealed why the results varied so wildly. The researchers found that the method of measurement heavily influenced the outcome. For example, only studies that used lottery-based economic tasks to measure risk-taking showed a modest positive association, while studies measuring risk-taking via other methods (like impulsive games or self-reporting) did not. Similarly, the researchers noted that studies relying on indirect finger measurements sometimes hinted at a link, while highly rigorous studies using direct hormone measurements or administration did not.
Importantly, the lack of an association between testosterone levels and risk-taking did not depend on sex, meaning the relationship (or lack thereof) was no different in males than in females.
“Overall, the evidence challenges the notion that testosterone provides a general hormonal basis for human risk preferences,” the study authors concluded. “Instead, findings support a biopsychosocial framework in which ‘risk taking’ reflects the interaction of task demands, cognitive–affective processes, and situational context, with endocrine effects appearing narrow, context-dependent, and method-specific.”
The study contributes to the scientific knowledge surrounding the behavioral effects of testosterone, suggesting that societal and psychological factors likely play a much larger role in risk-taking than single hormones. However, the study authors note that their search did not yield a sufficient number of appropriate studies to reliably examine the dual-hormone hypothesis (whether a specific interaction between cortisol and testosterone might predict risk-taking).
The paper, “No relationship between testosterone and risk aversion: A meta-analytic review,” was authored by Irene Sánchez Rodríguez, Luca Bailo, Folco Panizza, Emiliano Ricciardi, and Francesco Bossi.
-------------------------------------------------
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #no relationship between testosterone and risk taking #testosterone myth debunked #risk taking meta-analysis #biopsychosocial factors #endocrine effects context dependent #lottery tasks risk study #gender differences risk taking not hormone driven #dual hormone hypothesis inconclusive #testosterone measurement methods matter #neuroscience and biobehavioral reviews study
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DATE: May 12, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Does romantic rejection hurt more than platonic rejection? A new study says no
Most people assume that rejection by a potential romantic partner is far more painful than rejection by a prospective friend. However, new research published in the European Journal of Social Psychology suggests that, when rejection is actually experienced, the emotional impact is remarkably similar regardless of whether it comes from a romantic or a platonic source.
Romantic rejection is often seen as uniquely devastating, in part because modern societies place heavy emotional expectations on romantic relationships. However, researchers have long noted that humans are broadly motivated by a fundamental need for belonging. Social rejection tends to hurt across all contexts because it threatens shared psychological needs, such as feeling valued, in control, and meaningful.
What has been less clear is whether rejection by a potential romantic partner is more painful than rejection in a friendship context. Given the intense expectations placed on romantic relationships—which are often expected to fulfill a wide range of emotional and personal needs—it has seemed plausible that being denied such a relationship would be especially distressing.
To examine these assumptions, researchers conducted three related studies. In the first, 1,500 American adults were asked which type of rejection they believed would be more painful: being turned down by a potential romantic partner or by a potential friend. The responses largely reflected common intuitions: approximately half expected romantic rejection to be worse, compared with roughly a quarter who anticipated greater pain from platonic rejection, while the remaining participants believed both would be equally distressing.
Led by Natasha R. Wood of Leiden University in the Netherlands, the team then tested real‑time responses to rejection in a controlled experimental setting. In Study 2, 934 single adults aged 18 to 29 (57.9% women; average age 23.4) were randomly assigned to one of four conditions: accepted or rejected by either a potential romantic partner or a potential platonic friend.
Participants engaged with a simulated app environment, designed to resemble dating or social networking platforms, and received either positive or negative feedback from profiles purportedly representing other users. Afterward, they reported how they felt across a range of measures capturing their sense of belonging, self-worth, and emotional wellbeing.
The researchers found that rejection reliably reduced wellbeing, and acceptance reliably enhanced it, but the type of relationship framing—romantic versus platonic—had no effect on emotional outcomes. The team also tested whether feelings of romantic instrumentality (seeing a partner as someone who would help you achieve more of your goals in life) or self-blame might explain any romantic-versus-platonic difference in pain. Neither emerged as a meaningful driver.
In a third study involving 477 participants (73.6% women; average age 20.3), predicted emotional reactions were compared with actual emotional experiences. The researchers also added a “stranger control” group, in which participants were told there was no expectation of forming a relationship of any kind.
Participants were asked to forecast how they would feel before receiving feedback, then report how they felt afterward. Once again, relationship type did not meaningfully influence emotional responses; rejection by a stranger hurt just as much as rejection by a potential date. Furthermore, participants consistently overestimated the intensity of both outcomes, particularly the pain of rejection.
Wood and colleagues put it simply: “It seems the experience of being accepted is so positive and the experience of being rejected is so negative that it does not matter who is doing so.”
There are, however, important caveats to keep in mind. For example, the study was conducted exclusively with American participants, which limits how far the findings can be generalised across different cultures where romantic and platonic relationships may be valued differently. Furthermore, the simulated app environment may not perfectly capture the intense emotions of an in-person rejection.
The study, “What Could Have Been: Predicted and Actual Exclusion by Potential Romantic Partners and Platonic Friends,” was authored by Natasha R. Wood, Sydney G. Wicks, Adam J. Beam, Elijah P. Mudryk, Ellie Bray, and Andrew H. Hales.
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DATE: May 13, 2026 at 10:29AM
SOURCE: SCIENCE DAILY MIND-BRAIN FEEDTITLE: This daily habit could lower dementia risk by 35%, scientists say
URL: https://www.sciencedaily.com/releases/2026/05/260512202350.htm
A huge long-term study found that drinking two to three cups of coffee a day was linked to a much lower risk of dementia, especially before age 75. Researchers say caffeine may help keep brain cells active while reducing inflammation and harmful plaque buildup associated with Alzheimer’s disease. But more coffee wasn’t better — the protective effect appeared to level off after moderate intake.
URL: https://www.sciencedaily.com/releases/2026/05/260512202350.htm
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DATE: May 10, 2026 at 11:34AM
SOURCE:
NEW YORK TIMES PSYCHOLOGY AND PSYCHOLOGISTS FEEDTITLE: For Some Patients, Cancer Is Becoming Like a Chronic Illness
URL: https://www.nytimes.com/2026/05/10/opinion/terminal-cancer-chronic-illness-health.html
For some patients, cancer is becoming like a chronic illness.
URL: https://www.nytimes.com/2026/05/10/opinion/terminal-cancer-chronic-illness-health.html
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-
DATE: May 10, 2026 at 11:34AM
SOURCE:
NEW YORK TIMES PSYCHOLOGY AND PSYCHOLOGISTS FEEDTITLE: For Some Patients, Cancer Is Becoming Like a Chronic Illness
URL: https://www.nytimes.com/2026/05/10/opinion/terminal-cancer-chronic-illness-health.html
For some patients, cancer is becoming like a chronic illness.
URL: https://www.nytimes.com/2026/05/10/opinion/terminal-cancer-chronic-illness-health.html
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