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In this paper, we argue that the current official definition for Alzheimer's disease is misleading, since it defines senile dementia (SD), a long-known incurable senile/geriatric condition, as a discrete/curable disease. This overly optimistic definition was incepted in the 1970s amid the public's fear of the upcoming SD crisis and desperate hope for a cure. Scientifically, however, it has overturned Alois Alzheimer's age-based concept for disease classification-the essence of modern Geriatric Medicine and the National Institute of Aging. Thus, the current definition for SD, though socially and politically appealing, would be scientifically flawed. As an authoritative study guideline, it has caused profound and far-reaching confusions in research by misleading attention to the presumptive pathogenic/erroneous factors as drug targets for "silver bullets". Such well-intentioned studies would generate numerous data, but render SD a scientific and logical enigma. In this context we discuss: 1) why and how senile conditions including SD differ from discrete diseases by origin, thus also by study paradigm and intervention strategy; 2) why senile conditions may not be explained by abnormal/pathogenic factors, but logically should be explained by "normal" elements in life, perhaps advanced aging plus risk factors; and 3) why the "amyloid-β toxicity" controversy, a simple scientific issue, has lasted for so long. Finally, we ask: can scientific inquiry preserve its integrity and objectivity under social pressure? It appears that these fundamental questions warrant serious attention if the scientific nature of SD is to be eventually understood.

Large‐scale patterns of ocean surface temperature can influence weather across the globe and understanding their interaction with the local climate can improve seasonal forecasting of local temperature and precipitation. Here we focus on the combined interactions of the El Niño‐Southern Oscillation (ENSO), the Atlantic Multidecadal Oscillation (AMO) and the Pacific Decadal Oscillation (PDO) in the Alabama–Coosa–Tallapoosa (ACT) and Apalachicola–Chattahoochee–Flint (ACF) river basins of the southeastern United States. Nonparametric ranks‐sum tests of individual and coupled impacts of these teleconnections on the annual study area climate (1895–2009) found significant impacts. A positive AMO phase was associated with decreased precipitation and increased mean temperature while the negative AMO phase was associated with increased precipitation and decreased temperature. While an El Niño event generally increases regional precipitation, El Niño during a positive AMO or PDO phase resulted in precipitation below the long‐term average in our study area. Because of many instances of El Niño being shared between AMO and PDO phase, the effects of the PDO and AMO on El Niño could not be distinguished. La Niña was associated with negative precipitation and increased temperature. The effects of La Niña on the temperature and precipitation anomaly were significantly increased during positive AMO and PDO phases. The coupled impacts of the aforementioned teleconnections demonstrate the necessity of including the effects of the AMO and the PDO when using ENSO‐based forecasts. The significant shifts on the effects of teleconnections on area climate from AMO negative phase to AMO positive phase cast doubt on seasonal prediction for the study area based on the recent history (i.e. the use of the period 1950–2000 to predict seasonal climate since 2000).

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