Webb Therapy Uncategorized Inattentional Blindness: What else are we missing?

Inattentional Blindness: What else are we missing?

Inattentional Blindness is the failure to notice an unexpected object in a visual display.

Cognitive Psychology is an approach to understanding human cognition by observing behaviour of people performing cognitive tasks. It is concerned with the internal processes involved in making sense of our environment, and deciding what behaviour to be appropriate. These processes include attention, perception, learning, memory, language, problem-solving, reasoning, and thinking.

Re-write: Distract!

The most famous experiment that shows evidence for inattentional blindness is the Simons and Chabris (1999) experiment where an audience or viewer watches a group of people pass a ball to one another wearing either black or white, and a woman dressed as a gorilla enters the frame for 9 seconds, then walks off. Results reported that 50% of the observers did not notice the gorilla enter the frame. In all honesty, when I saw the video for the first time at university, I did not see the gorilla enter the frame either.

In reality, we are often aware of changes in our visual environment because we detect motion cues accompanying the change. This information suggests that our ability to detect visual changes is not only due to the detection of movement. An obvious explanation of the gorilla experiment findings is that the visual representations we form in our mind are sparse and incomplete because they depend on our limited attentional focus. Simons and Rensick (2005) point out that there are other explanations, such as: detailed and complete representations may exist initially but may either decay rapidly or be overwritten by a subsequent stimulus. It needs to be said that in the gorilla experiment, the observers are instructed to count how many times the ball passes, so really, our attention is deliberately compromised. The real-life implications of inattentional blindness reveals the role of selective attention in human perception. Inattentional blindness represents a consequence of this critical process that allows us to remain focused on important aspects of our world without distraction from seemingly irrelevant objects and events.

Being present, in the moment (mindfulness) can help aid our attention. Distractions such as using our mobile phones, advertising material, other people, “multi-tasking” and internal emotional states all contribute to our lack of focus and attention. Think of a magician’s ability to manipulate their audiences attention in order to prevent them from seeing how a trick is performed. There are also safety implications, as you would know … if you’ve been paying attention, haha.

Just food for thought, my readers, and friends 🙂

Related Post

Mortality DeterminantsMortality Determinants


Overall Global Leading Cause of Death

  • Ischemic heart disease (coronary artery disease) – Still the #1 cause of death worldwide.
  • Followed by: Stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, and cancer (e.g., lung, liver, colorectal).

Breakdown by Category

By Age

Age GroupLeading Cause(s) of Death
Infants (<1)Neonatal conditions, birth complications, infections
Children (1–14)Accidents (injuries), infections (low-income countries), cancers (e.g., leukemia)
Youth (15–24)Road injuries, suicide, homicide (varies by country)
Adults (25–44)Injuries (road, drug overdose), suicide, HIV/AIDS (in some countries), heart disease
Middle Age (45–64)Heart disease, cancer (esp. lung, colorectal, breast), liver disease
Older Adults (65+)Heart disease, stroke, cancer, Alzheimer’s disease

By Gender/Sex

GroupLeading Cause of Death
Cisgender MenHeart disease, cancer (lung, liver), accidents
Cisgender WomenHeart disease, cancer (breast, lung), stroke
Transgender IndividualsElevated risk from violence, suicide, and HIV/AIDS (especially trans women of color); limited large-scale data
Non-binaryInsufficient population-specific data, but risks often parallel those of trans populations or assigned sex at birth

By Race/Ethnicity (Example: United States)

GroupTop CausesUnique Issues
White (non-Hispanic)Heart disease, cancer, drug overdose
Black or African AmericanHeart disease, cancer, higher stroke risk
Hispanic/LatinoHeart disease, cancer, diabetes
Native AmericanAccidents, liver disease, diabetes, suicide
Asian AmericanCancer (leading cause), stroke, heart disease

Note: Disparities arise from systemic inequalities, access to care, and social determinants of health.


By Sexuality (LGBTQ+)

  • Limited global data, but in many regions:
    • Higher risk of suicide, mental health disorders, substance abuse, HIV/AIDS (especially among MSM and trans women).
    • Discrimination and healthcare avoidance contribute to worsened outcomes.
  • Common causes of death still include heart disease and cancer, with higher rates of premature death linked to stigma and healthcare disparities.

By Geographic Region

RegionLeading Cause(s)
High-Income CountriesHeart disease, cancer, Alzheimer’s, stroke
Low- and Middle-Income CountriesInfectious diseases (TB, HIV), maternal mortality, stroke, heart disease
AfricaHIV/AIDS, malaria, lower respiratory infections
AsiaStroke, heart disease, chronic lung disease
North AmericaHeart disease, cancer, drug overdose (opioid crisis)
EuropeHeart disease, stroke, cancer
Latin AmericaViolence (in younger adults), heart disease, diabetes

By Profession

  • Agricultural/farm workers: High injury rates, pesticide exposure, suicide
  • Construction workers: Falls, injuries, exposure to toxins (e.g., asbestos)
  • Healthcare workers: Infectious disease, burnout, mental health risks
  • Military/first responders: Combat-related injuries, PTSD, suicide
  • Office workers: Sedentary lifestyle risks (heart disease, diabetes)

Occupation-linked deaths often relate to environmental exposures, physical risks, or psychological stressors.


Conclusion:

Across almost all demographics, heart disease remains the leading cause of death, followed by cancer, stroke, and—in certain populations—accidents, suicide, or infectious diseases. However, the underlying causes (social, economic, political) differ significantly based on identity, geography, and profession.

Would you like this formatted into a chart, infographic, or specific to a country or report you’re working on?