Investigating the Minimal Counterintuitiveness Effect

Scholars believe that minimally counterintuitive concepts are more memorable than intuitive ones (Barrett, 2008; Upal 2011). If an item has an unusual or counterintuitive property, such as a ball that rises rather than falls when dropped, the unusual property makes the item more memorable. However, experiments investigating this effect tend to have experimental confounds that make interpretation difficult. Our experiment aimed to solve these problems by using counterbalanced lists of nonwords, using the nonwords to control for prior associations and experiences. Participants viewed a series of nonwords along with a noun-adjective pair (e.g. Frav – a roaring tiger) and were told that each nonword represented a name. Some nonwords were the names of an intuitive item (e.g. a roaring tiger) whereas others were counterintuitive (e.g. a writing tiger). Participants rated the likelihood that the described nonword was from Earth or from a parallel universe where things were different. Everyone was told to remember the nonwords and noun-adjective pairs for a later test. To improve overall recall, each item was presented and rated twice. After a distractor, participants were asked to recall as many of the nonwords as possible. The results revealed that counterintuitive items were not better-recalled than intuitive items. In fact, in most tests, intuitive items were recalled significantly more often than intuitive items. Our results do not support the Minimal Counterintuitiveness Effect and suggest that when to-be-remembered words and their accompanying nouns are matched across conditions (counterintuitive and intuitive), that intuitive information is more memorable than counterintuitive information

Overview of the Alberta Kidney Disease Network

<p>Abstract</p> <p>Background</p> <p>The Alberta Kidney Disease Network is a collaborative nephrology research organization based on a central repository of laboratory and administrative data from the Canadian province of Alberta.</p> <p>Description</p> <p>The laboratory data within the Alberta Kidney Disease Network can be used to define patient populations, such as individuals with chronic kidney disease (using serum creatinine measurements to estimate kidney function) or anemia (using hemoglobin measurements). The administrative data within the Alberta Kidney Disease Network can also be used to define cohorts with common medical conditions such as hypertension and diabetes. Linkage of data sources permits assessment of socio-demographic information, clinical variables including comorbidity, as well as ascertainment of relevant outcomes such as health service encounters and events, the occurrence of new specified clinical outcomes and mortality.</p> <p>Conclusion</p> <p>The unique ability to combine laboratory and administrative data for a large geographically defined population provides a rich data source not only for research purposes but for policy development and to guide the delivery of health care. This research model based on computerized laboratory data could serve as a prototype for the study of other chronic conditions.</p