clerics of middle England and their role in cellular phone design), George Boole and Augustus De Morgan. The Reverend Thomas Bayes (1702-1761)¹ is arguably the father of 'conditional probability theory' in which 'a hypothesis is confirmed by any data that its truth renders probable'. He is most well known for his 1764 paper 'An Essay Toward Solving a Problem in the Doctrine of Chances' and his principles are widely used in gambling (of which Thomas Bayes would have disapproved) and image-processing and image-enhancement algorithms. For instance, conditional probability theory is the basis for context modelling. For example, an area of blue sky with occasional white clouds will obey a certain rule set prescribed by the context (a sunny day), a dull day sets a different context in which greys will dominate and contrast will be less pronounced. Adaptive algorithms can be developed that are spatially and/or context driven, conditioned by the image statistics and/or any other available context information. George Boole (1815-1864) developed Bayes work by introducing more precise conditional language, the eponymous Boolean operators of OR (any one of the terms are present, more than one term may be present), AND (all terms are present), NOT (the first term but not the second term is present) and XOR (exclusive OR, one or other term is present but not both). Every time we use a search engine we are using a combination of Boolean operations and Bayesian conditional probabilities but Boole is also present in almost every decision taken in the image-processing pipe. 1 http://www.york.ac.uk/depts/maths/histstat/bayesbiog.pdf Making Telecoms Work Augustus De Morgan (1806-1871) was working in parallel to Boole on limits and boundaries and the convergence of mathematical series (or at least the description of convergence in precise mathematical terms). He is probably most famous for De Morgan's Law that applied to people and pixels goes something like this: In a particular group of people Most people have shirts. Most people h