1.

The repeatability of the observation naturally increases enormously if I can produce one of the events myself, for example if I can light and extinguish lights with a switch - I cannot manipulate the temple doors, for example, as an ordinary Greek, because only priests can do that. Things become much more complex when, for once, no light comes on, when I flip the switch, i.e. when something doesn't work as it should, or when various time delays occur. These are the real problems of systems theory in the strict sense, I will come back to this later.

2.

Of course, I never know whether they will turn over under phenomenally simple conditions. A typical form of overturning is a so-called defect. But it is of course also possible that I have performed a certain operation very often under the same conditions. When I try it for the first time under different conditions, I realise that the conditions are not at all simple. For example, it could be that the temple door opener only works during the day. This might never be noticed because the fire is only lit during the day. Only an exception in behaviour would expose a more complex phenomenon.

3.

Even if I explain my room temperatures by magic or by the influence of Zeus, it makes no difference whether the phenomenon is more or less complex, because Zeus can solve any problem - if Hera doesn't want it otherwise. However, the additional conditions are naturally demanding in terms of design.

4.

The ways of speaking simple, complicated and complex are complex in everyday life. I refer to incredibly complicated things as simple and vice versa. For example, walking and standing is very simple for me, but building a robot that can do this is anything but simple. Because I can't draw a round circle without a tool, it seems complicated to me. When I have got used to a certain computer program, it seems very simple to me, to a beginner it seems complicated, although it is the same program; and so on.

5.

There are many marginal areas of mathematics that deal with such phenomena, such as complexity and chaos theory.