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Inductive logic is unlike deductive or symbolic logic. In deductive reasoning, when you have true premises and a valid argument, the conclusion must be true too. Valid deductive arguments do not take risks.
Inductive logic takes risks. You can have true premises, a good argument, but a false conclusion. Inductive logic uses probability to analyse that kind of risky argument.
Good News
Inductive reasoning is a guide in life. People make risky decisions all the time. It plays a much larger part in everyday affairs than deductive reasoning.
Bad News
People are very bad when reasoning about risks. We make a lot of mistakes when we use probabilities.
This book starts with a list of seven Odd Questions. They look pretty simple. But most people get some of the answers wrong. The last group of nine-year-olds I tested did better than a group of professors. Try the Odd Questions. Each one is discussed later in the book.
Practical Aims
This book can help you understand, use, and act on probabilities, risks, and statistics. We live our lives taking chances, acting when we don't know enough. Every day we experience a lot of uncertainties. This book is about the kinds of actions you can take when you are uncertain what to do. It is about the inferences you can draw when your evidence leaves you unsure what is true.
This chapter explains the usual notation for talking about probability, and then reminds you how to add and multiply with probabilities.
WHAT HAS A PROBABILITY?
Suppose you want to take out car insurance. The insurance company will want to know your age, sex, driving experience, make of car, and so forth. They do so because they have a question in mind:
What is the probability that you will have an automobile accident next year?
That asks about a proposition (statement, assertion, conjecture, etc.):
“You will have an automobile accident next year.”
The company wants to know: What is the probability that this proposition is true?
The insurers could ask the same question in a different way:
What is the probability of your having an automobile accident next year?
This asks about an event (something of a certain sort happening). Will there be “an automobile accident next year, in which you are driving one of the cars involved”?
The company wants to know: What is the probability of this event occurring?
Obviously these are two different ways of asking the same question.
PROPOSITIONS AND EVENTS
Logicians are interested in arguments from premises to conclusions. Premises and conclusions are propositions. So inductive logic textbooks usually talk about the probability of propositions.
Most statisticians and most textbooks of probability talk about the probability of events.
So there are two languages of probability, propositions and events.
Most of the main ideas about probability come up right at the beginning. Two major ones are independence and randomness. Even more important for clear thinking is the notion of a probability model.
ROULETTE
A gambler is betting on what he thinks is a fair roulette wheel. The wheel is divided into 38 segments, of which:
▪ 18 segments are black.
▪ 18 segments are red.
▪ 2 segments are green, and marked with zeroes.
If you bet $10 on red, and the wheel stops at red, you win $20. Likewise if you bet $10 on black and it stops at black, you win $20. Otherwise you lose. The house always wins when the wheel stops at zero.
Now imagine that there has been a long run–a dozen spins–in which the wheel stopped at black. The gambler decides to bet on red, because he thinks:
The wheel must come up red soon.
This wheel is fair, so it stops on red as often as it stops on black.
Since it has not stopped on red recently, it must stop there soon. I'll bet on red.
The argument is a risky one. The conclusion is, “The wheel must stop on red in the next few spins.” The argument leads to a risky decision. The gambler decides to bet on red. There you have it, an argument and a decision. Do you agree with the gambler?
How personal degrees of belief can be represented numerically by using imaginary gambles.
Chapters 1–10 were often deliberately ambiguous about different kinds of probability. That was because the basic ideas usually applied, across the board, to most kinds of probability.
Now we develop ideas that matter a lot for belief-type probabilities. They do not matter so much from the frequency point of view.
THE PROGRAM
There are three distinct steps in the argument, and each deserves a separate chapter.
▪ This chapter shows how you might use numbers to represent your degrees of belief.
▪ Chapter 14 shows why these numbers should satisfy the basic rules of probability. (And hence they should obey Bayes' Rule.)
▪ Chapter 15 shows how to use Bayes' Rule to revise or update personal probabilities in the light of new evidence. This is the fundamental motivation for the group of chapters, 13–15.
In these chapters we are concerned with a person's degrees of belief. We are talking about personal probabilities. But this approach can be used for other versions of belief-type probability, such as the logical perspective of Keynes and Carnap.
Because Bayes' Rule is so fundamental, this approach is often called Bayesian. “Belief dogmatists” are often simply called Bayesians because the use of Bayes' rule as a model of learning from experience plays such a large part in their philosophy. But notice that there are many varieties of Bayesian thinking. This perspective ranges from the personal to the logical.
How do you choose among possible acts? The most common decision rule is an obvious one. Perform the action with the highest expected value. There are, however, a few more paradoxes connected with this simple rule.
RISKY DECISIONS
Logic analyzes reasons and arguments. We can give reasons for our beliefs. We can also give reasons for our actions and our decisions. What is the best thing to do under the circumstances? Inductive logic analyzes risky arguments. It also helps with decision theory, the theory of making risky decisions.
Should I go out in a thunderstorm to fetch a book, even though I am scared of lightning? I go out in a thunderstorm because I believe I left a book outside. I believe it will get wet and be ruined. I also believe I will not be struck by lightning. But I also go outside because I want the book, among other things. Of course, my beliefs are not certainties–I am pretty confident I left the book there. I am pretty sure it will get wet if it is there. I know it is not probable that I will be hit by lightning.
Decisions depend on two kinds of thing:
▪ What we believe.
▪ What we want.
Sometimes we can represent our degrees of belief or confidence by probabilities. Sometimes we can represent what we want by dollar values, or at least by judgments of value, which we call utilities.
Geophysics is essential to understanding the solid Earth, particularly on a global scale. Modern ideas of the structure and evolution of continents and oceans, or of the formation of mountain chains on land and below the oceans, for instance, are based extensively on discoveries made using geophysics. But geophysics can contribute to geological knowledge on all scales, from the global, through the medium-scale such as regional mapping or the search for oil and minerals, down to the small-scale, such as civil engineering, archaeology, and groundwater pollution, as well as detailed geological mapping.
Geophysics differs from other methods for studying the Earth because it can ‘look into the Earth’, for its measurements are mostly made remotely from the target, usually at the surface. It is able to do this because it measures differences in the physical properties of the subsurface rocks or structures, which are revealed by their effects at the surface, such as the magnetic field of some rocks. But it describes the subsurface in physical terms – density, electrical resistivity, magnetism, and so on, not in terms of compositions, minerals, grain-sizes, and so on, which are familiar to the geologist. Because geologists are often unfamiliar with physics (and the associated mathematics), there is a tendency either to ignore geophysics or to accept what a geophysicist says without understanding the qualifications.
This last is simply to treat the geophysicist as some sort of a magician.
One of the most important natural resources is fresh water, essential for growing crops, for many industries, and of course for drinking and other personal uses; it is also the basis of many leisure activities, from fishing to water sports. In many parts of the world demand now rivals the natural supply of water, leading to a need for better understanding of aquifers, as well as for building dams and for more recycling. A separate problem is pollution, which has many causes, ranging from influx of saline water due to excessive extraction of fresh water, to contamination by sewage, agricultural and industrial chemicals, or leachate from landfill sites. Hydrogeology is concerned with these problems, and geophysics is an increasingly valuable aid.
Introduction
The most obvious water source is surface water in rivers and lakes, but these derive much of their supply from groundwater, while much water is extracted directly from the ground by boreholes (over half the population of the United States gets its water this way). Therefore, hydrogeology is mainly concerned with the hidden resource of groundwater. The goals of hydrogeology are (i) locating new groundwater resources, (ii) developing schemes for the best utilization of known sources, (iii) proposing measures for protection against contamination and overextraction, and (iv) monitoring potential or known sources of contamination.
Aquifers
Groundwater moves through aquifers, which are often subhorizontal layers of permeable rock such as porous sands and sandstones, but including crystalline rocks with interconnected fractures and fissures.
In the 1960s the theories of continental drift and sea floor spreading (hitherto largely regarded with scepticism) fused to give birth to plate tectonics, the idea that the surface of the Earth consists of huge rigid pieces that move independently, with most tectonic and igneous activity taking place at their margins as a consequence of their relative movements. Plate tectonics provides a framework for much of geology, being relevant to topics as diverse as continent formation, orogenesis, earthquakes, volcanoes, past climates, and palaeontology. It has been particularly successful when applied to oceans and their margins, but less so at explaining tectonic processes within continents, where deformation extends far from the plate margins.
The success of plate tectonics posed further questions: How deep do plates extend, and what moves them? How does intracontinental tectonics relate to plate collisions? What causes the volcanism – sometimes very extensive – found far from plate margins? This has led enquiry deeper within the earth, particularly to convective flows within the mantle, and this larger framework can be termed global tectonics.
This chapter is mainly concerned with the basic concepts of plate tectonics, which were established largely by geophysical evidence, and geophysics, with its ability to investigate the deep Earth, continues to play a major part in extending our understanding of its processes.
Geophysical techniques employed: Many geophysical techniques have played a part, but seismology, seismicity, magnetics, palaeomagnetism, gravity, radiometric dating, and heat flow have had the major roles.
Many of the minerals of economic importance are ores of various metals, particularly sulphides. Traditionally, they have been discovered from their surface outcrops, but more recently geochemical surveys have been used to detect above-average concentrations of relevant elements in near-surface samples. However, as shallow deposits are extracted there is a need to explore to greater depths. Geophysical surveying potentially can be used because many ores have sufficiently different properties from their surroundings – particularly electrical and magnetic ones – to be detectable.
This chapter gives an outline of the different ways in which orebodies originate and the role of geophysics in exploring for them. Much of the chapter describes the exploration and evaluation of the Elura orebody in Australia, a massive sulphide body upon which many geophysical methods have been employed.
Introduction: Metalliferous and other ore deposits
Geophysics has an important role to play in the exploration for ore deposits, a term that is being used here to refer principally to those containing metals that can be profitably extracted (diamonds are included though not a metal). Ore deposits are mined for the precious metals gold, silver, and platinum, and for many of the raw materials for manufacturing industries, including aluminium, cobalt, chrome, iron, lead, manganese, molybdenum, nickel, thorium, uranium, zinc, and zirconium, which are used variously for making iron, special steels, refractory materials, pigments, special glasses, and solder, plus numerous alloys and chemicals.
At intervals in the Earth's history there have been mass extinctions, when the number of species of animals and plants was drastically reduced in a time that was geologically short. There has been little agreement about their cause, with suggestions ranging from catastrophes to the cumulative effect of changes in factors such as temperature. It is accepted that abrupt and violent processes, such as meteorite impacts and great volcanic eruptions, do occur from time to time, but it is also being appreciated that the environment, particularly the climate, is less stable than had been thought, so that the cumulative effect of comparatively small, steady changes may have large and abrupt consequences. Therefore, an appreciation of the environmental effects of impacts and volcanism will increase our understanding of the processes at work in the world we inhabit today, as well as possibly accounting for some extinctions in the past.
This chapter examines some of the evidence that the K/T (end-of-Cretaceous) extinction was due to the impact of an extraterrestrial body that produced the Chicxulub structure, and looks briefly at the competing theory that volcanism was responsible.
Introduction
Throughout the Earth's history the forms of living organisms have changed, and the ever-changing mix of organisms has permitted the Phanerozoic timescale to be constructed (Section 15.11).
As the word suggests, geophysics is the application of the methods of physics to the study of the Earth. But which methods, and how are they applied?
To the extent that rocks and their structures are formed by physical, chemical, and biological processes – for instance, rocks are deformed or fractured by physical forces, the compositions of volcanic rocks are determined largely by chemical processes, while oil, coal, and many limestones derive from living organisms – you might think that geophysics is all that part of geology that is not chemical or biological. But that is not how the term ‘geophysics’ is normally used. Before we attempt a definition, a few examples will give its flavour.
Some iron ores and some other rocks are sufficiently magnetic to deflect a compass, occasionally so much that it makes a compass an unreliable guide to north. Though this can be a nuisance for navigators, it allows us to detect the presence of the ores; however, to be able to predict where in the subsurface the magnetic rocks are located requires an understanding of how the magnetism of rocks affects a compass at the surface, and also why a compass usually points north. By replacing a compass with a much more sensitive instrument, the method can be extended to a much wider range of rocks, ones that are less magnetic than iron ores.
Most electromagnetic (e-m) methods of surveying are used for targets similar to those of resistivity surveys, because both respond to variations in the resistivity (or conductivity) of the subsurface. The main difference is that e-m methods ‘induce’ current flows in the subsurface, usually without using electrodes. Many e-m methods can therefore be used in aerial as well as ground surveys.
E-m methods are particularly useful for ground surveys where the surface layer has a very high resistivity – such as dry sand or frozen ground – which prevents resistivity electrodes making electrical connection with more conductive layers below; conversely, a very conductive surface layer limits penetration more severely for e-m methods than it does for resistivity ones. A further limitation of e-m surveying is that generally it maps the subsurface less precisely than resistivity surveying. Smaller e-m instruments are quick to use on the ground because there are no electrodes and wires to set out.
Magnetotelluric, MT, surveying relies on naturally induced currents and can investigate down to tens, or even hundreds, of kilometres. Ground-penetrating radar, GPR, operates quite differently, by reflecting radar waves from subhorizontal interfaces, and so has similarities with seismic reflection, except that the discontinuities are of electrical rather than seismic properties. Like seismic reflection, it can provide high-resolution sections, but penetration is limited to a few metres, which limits its use to shallow targets, which include engineering, hydrogeological, and archaeological as well as some geological ones.