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Tue 21 Jan 20 · Britain by Numbers: A Visual Exploration of People and Place (Conway Hall Ethical Society, London)
Tue 19 May 15 · The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day (Conway Hall, London)
Fri 15 May 15 · Microsoft Distinguished Research Lecture (Microsoft Research, Cambridge)
Thu 6 Feb 14 · Basic Statistics (Hughes Hall, Cambridge)
Mon 29 Apr 13 · The Signal and the Noise: the art and science of prediction (Old Theatre, London)
Fri 27 Apr 12 · Probability does not exist. Probably (The Royal Institution of Great Britain, London)
Tue 25 Oct 11 · Your Days Are Numbered: the maths of death (Imperial College Union, London)
Thu 20 Oct 11 · Playing with Numbers: do stats help or hinder in sport?’ a getstats panel debate (Royal Statistical Society, London)
Fri 27 May 11 · From Rothamsted to Northwick Park: designing experiments to avoid bias and reduce variance (The Royal Institution of Great Britain, London)
Thu 11 Nov 10 · Royal Society prize lecture: Our genomes, our history (The Royal Society, London)
Thu 23 Sep 10 · Introductory Medical Statistics Course (National Heart & Lung Institute (NHLI) Imperial College London, London)
Thu 10 Jun 10 · Why England lose (The Royal Institution of Great Britain, London)
Mon 15 Mar 10 · Ig Nobel Awards Lecture (Richmond Building, Portsmouth)
Tue 5 May 09 · Mathematics and Smallpox (Gresham College, London)
Mon 27 Apr 09 · The logic of life (The Royal Institution, London)
Thu 26 Mar 09 · Mathematics in the real world: From brain tumours to saving marriages (The Royal Society, London)
Mon 11 Feb 08 · Beauty and the Beast- Numbers and Public Policy (Hong Kong Theatre, London School of Economics &Political Science, London)
Mon 26 Nov 07 · Introductory Medical Statistics Course (National Heart & Lung Institute (NHLI) Imperial College London, London)
Thu 9 Mar 06 · The inquiring mind of the statistician - the Bristol and Shipman cases (Faculty of Computing, Information Systems and Mathematics, Kingston upon Thames)
Wed 13 Apr 05 · Modelling profit-rate distributions: A case-study in the use of L-moments (School of Maths, Kingston University, Kingston upon Thames)
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