It is a pleasure to congratulate Professor Shun-ichi Amari, the Editors and Springer with the introduction of the new journal Information Geometry’. Professor Amari’s pioneering and pathbreaking work in Information Geometry has, in a relatively short time, gained wide ranging interest in terms of applications as well as theory. In regard particularly to statistical inference, his results, building on advanced parts of differential geometry, were truly revolutionary, drawing on parts of mathematics that to most statisticians were quite foreign. I myself was attracted to the field from that aspect but had to learn a considerable amount of differential geometry to use the tools in relation to my own research, leading among other things to the introduction of the concept of observed likelihood geometry.