order, and how for some dictionary generation algorithms it plays a key role, but for others it does not. In particular, the significance of discovery order for C-dictionaries is rather large, but for B-dictionaries less so – this being despite the fact that the generation of B-dictionaries is much more contingent on the generation order of symbols, and so we might expect that to influence the effect of discovery order also. Of course, a strong caveat here is that these are results *averaged* over many dictionaries, and so do not give a clear picture of the experience of any one specific symbol discovery trajectory. Consequently, I address this point in particular in the next section.

Discovery {#S-Discovery}
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In the previous section I looked at the measures if innovation, as averaged over the entire discovery process from beginning to end. However, as stated in the introduction, here I want to investigate innovation as a dynamic process evolving into an unknown future. So, with the aggregated results of the previous section as a backdrop, I will now look at some specific examples, based on a given dictionary but different discovery sequences. This will usually be a frequency-order discovery of new symbols, 