In the 1960s, the designer Robert Propst worked with the Herman Miller company to produce “The Action Office”, a stylish system of open-plan office furniture that allowed workers to sit, stand, move around and configure the space as they wished.
Propst then watched in horror as his ideas were corrupted into cheap modular dividers, and then to cubicle farms or, as Propst described them, “barren, rathole places”. Managers had squeezed the style and the space out of the action office, but above all they had squeezed the ability of workers to make choices about the place where they spent much of their waking lives.
...It should be easy for the office to provide a vastly superior working environment to the home, because it is designed and equipped with work in mind. Few people can afford the space for a well-designed, well-specified home office. Many are reduced to perching on a bed or coffee table. And yet at home, nobody will rearrange the posters on your wall, and nobody will sneer about your “dog pictures, or whatever”. That seems trivial, but it is not.
The brick is one of those old technologies, like the wheel or paper, that seem to be basically unimprovable. ‘The shapes and sizes of bricks do not differ greatly wherever they are made,’ writes Edward Dobson in the fourteenth edition of his Rudimentary Treatise on the Manufacture of Bricks and Tiles. There’s a simple reason for the size: it has to fit in a human hand. As for the shape, building is much more straightforward if the width is half the length.
There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.