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These are the lecture slides by Dr. Danny Dorling who is a well known lecturer in the field of Happiness Studies. These Slides are from his lectures delivered in 2010. The following are the main points; Statistical Shenanigans, Sweet Peas, Nobel Prizes, Nobel Peace Prizes, Politically Innumerate, Education Statistics, Science, OECD, Geographical Distribution, Inequalities, Female Nobel Laureates.
Typology: Slides
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12:15pm - 1:35pm Plenary 6 - Significance Auditorium 2 - Hewison Hall
neutral social statistic
statistics
Figure 1: Children by student proficiency
in science in the Netherlands, according
to the OECD, 2006 (%)
11%
developed
26%
27% effective
simple
21%
barely 11% limited
Is this how children in the Netherlands really are?
Figure 2: Distribution of children by
proficiency in science, according to the
OECD, 2006 (%) Children
….maybe this is all b- b- b- baloney (mustn‟t use a rude word now, not if we are well-educated). Look at the shape of those curves ……. They are all very similar aren‟t they?
And how does what we still do now appear so often to replicate mistakes that we made in the past?
Figure 4: Geographical distribution of
paupers, England and Wales, 1891
Source: Figure redrawn from the original. Pearson, K (1895) „Contributions to
the mathematical theory of evolution – II. Skew variation in homogeneous
material‟, Philosophical transactions of the Royal Society of London, Series
A, Mathematical, vol 186, pp 343-414, Figure 17, plate 13)
0
20
40
60
80
100
120
-200-
0 100200300400500600700800900 1000
normal(N) binomial(B) data(D)
Too good to be true?
Don‟t the little dots form a pleasing pattern? - maybe a little too pleasing. I just point this out to suggest someone checks.
Galtons‟ 1877 graph: Source: Magnello, E. and B. V. Loon (2009).
Introducing Statistics. London, Icon Books. (Page 123)
Figure 6: Distribution of income showing
inequality (US$), worldwide, 2000
Source: Figures (in purchase power parity, US$) derived from estimates by Angus Maddison, from a version produced in spreadsheets given in ww.worldmapper.org, based in turn on UNDP income inequality estimates for each country. See Dorling, D., 2010, Injustice:
(..$$$$.....annually………….....)
40c a day70c a day1.4$ a day
3$ a day6$ a day
Europe
Americas Asia Africa
1977
1973
1968
1969
Africa
Asia
Americas
Europe
Figure 7: Real growth per decade in GDP (%), per person, by continent, 1955–
2001. The log normal distribution we see today was due to 1980s divergence
Source: as Figure 6
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
20%
1920 1930 1940 1950 1960 1970 1980 1990 2000
Figure 9: Share of all income received by the richest 1% in Britain, 1918– 2005
Note: Lower line is post-tax share. Source: Atkinson, A.B. (2003) „Top incomes in the United Kingdom over the twentieth century‟, Nuffield College Working Papers, Oxford (http://ideas.repec.org/p/nuf/esohwp/_043.html), figures 2 and 3; from 1922 to 1935 the 0.1% rate was used to estimate the 1% when the 1% rate was missing, and for 2005 the data source was Brewer, M., Sibieta, L. and Wren-Lewis, L. (2008) Racing away? Income inequality and the evolution of high incomes, London: Institute for Fiscal Studies, p 11; the final post-tax rate of 12.9% is derived from 8.6%+4.3%, the pre-tax rate scaled from 2001.
Figure 10: The crash: US mortgage debt, 1977–2009 (% change and US$ billion)
Source: US Federal Reserve: Debt growth, borrowing and debt outstanding tables
(www.federalreserve.gov/releases/Z1/Current/) Right-hand axis, net US$ billion
additional borrowed - Left-hand axis: percentage change in that amount.
