Oral Presentation Example

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Theory of Plate Tectonics

An explanation of science and prediction

Real life situation

 On December 26 th 2004 there was a great earth quake that happened in Sumatra

Andaman. Actually scientists didn ’ t predict the event would occur because, due to the theory, the area was believed to be immune to such giant earth quakes and hence, this made scientists rethink the theory of plate tectonics.

(http://www.sciencedaily.com/releases/2007/01/070109142217.htm)

Continued …

 The theory says that giant earth quakes occur in fast, young subduction zones.

However, this particular incident happened in a middle aged and slowly moving subduction zone.

Knowledge issue

 To what extent does prediction test the validity of a scientific theory?

Scientific theory

 A scientific theory is a well supported body of interconnected statements that explains observations and can be used to make testable predictions.

( en.wikipedia.org/wiki/Scientific_theory )

Roles of Scientific Theory

 Prediction

 Explanatory powers

What are the bases for prediction

 Analysis of patterns

 Patterns are recurring events

Where do we observe patterns?

 Natural Sciences

 Human Sciences

Theories to be considered in this presentation

 Plate Tectonics

 Evolution by Natural Selection

 Valance shell Electron Pair Repulsion

Theory

 Phillips Curve

NATURAL SCIENCES

Theory of plate tectonics

Plate Tectonic Theory

 Pattern

 Prediction from pattern

Strength of the theory

 Normally able to predict places where the giant earthquakes and volcanic eruptions likely to happen.

 Able to predict the magnitude of earthquake, volcano or tsunami.

 Provides a mechanism to explain continental drift theory

Possible areas of weakness of theories in general

 Sometimes Impossible to experiment

 Danger overgeneralization (problem of induction)

 Obtaining precise prior knowledge

(measurement difficulties)

 Influence observer effect (uncertainty principle)

 Complexity and interacting variable

Implication of the event on the theory

 Scientists are rethinking their theory, based on data collected after the earthquake

 Re-examining some of the pre-December

2004 assumptions scientists made about such rare events.

 Some of this assumptions were, giant earth quakes occur only in fast, young subduction zones

EVOLUTION

Evolution

The future course of evolution

Can the theory of evolution make predictions?

Strength of the theory

It has explanatory power

Use of evidence for example fossil records, homologous anatomical structures and artificial selection

Possible areas of weakness of theories in general

 Sometimes Impossible to experiment

 Danger overgeneralization (problem of induction)

 Obtaining precise prior knowledge

(measurement difficulties)

 Influence observer effect (uncertainty principle)

 Complexity and interacting variable

 Evolution is more sensitive to initial conditions, so specific predictions about what mutations will occur and what traits will survive are impractical. (Abel,145)

Initial Conditions

Initial condition

Gene Mutation

Environmental Effect

Food availability

Predator effect

Weather condition

Gene combinations

 But not all scientific theories are able to make testable predictions?

 No scientific theory can ever be used to make predictions unless the initial conditions are specified: and all theories require elimination of irrelevant factor ”

( Reuben Abel)

This is a difficulty for both the human scientists and

Evolutionary Biologists.

Periodicity

Patterns in chemistry

 Periodicity - refers to the repeating pattern of physical and chemical properties that is seen at regular interval in the periodic table.

Mendeleev Periodic Table

Valance Shell Electron Pair

Repulsion Theory (VSEPR)

Valance shell electron pair repulsion theory (VSEPR)

 mainly involves predicting the layout of electron pairs surrounding one or more central atoms in a molecule, which are bonded to two or more other atoms. The geometry of these central atoms in turn determines the geometry of the larger whole. It is also a model in chemistry used to predict the shape of individual molecules based upon the extent of electron-pair electrostatic repulsion

Strength of the theory

 It plays a great role in predicting the structure of a compound by looking at the geometrical structure of the central atom and using the valance shell electrons.

 To determine the melting and the boiling of a compound.

 For Example H

2

O is V-shaped molecule

Possible areas of weakness of theories in general

 Sometimes Impossible to experiment

 Danger overgeneralization (problem of induction)

 Obtaining precise prior knowledge

(measurement difficulties)

 Influence observer effect (uncertainty principle)

 Complexity and interacting variable

Weakness of the theory

 It is Qualitative and hence, we can not talk about the quantitative properties of the compounds for instance we can not determine the exact degree of repulsion between each bonds.

 This theory can not apply to all compounds for instance Benzene is exceptional to the rule

(Overgeneralization)

Scientific method

 Hypothesis

 Experimentation

 Observation

 Data collection

 Conclusion

Uncertainty principle: Heisenberg

 This principle states that it is impossible to know the exact position and momentum of an electron.

As momentum is related to time, what this implies is that it is impossible to know the exact location of an electron at an exact momentum in time. The more precisely the location is known, the less precisely the time known and vice versa. Heisenberg ’ s principle applies to any particle with mass, but the more massive the less the uncertainty of the particle. (Neuss,35)

Uncertainty principle: Heisenberg

 Scientists are using as base where there is a high probability that electrons are located in order to make prediction

 This applies to the whole of the physical universe for example in describing the three dimensional shapes of atomic orbital where there is a high probability that electrons are located

Why can ’ t we measure

 The problem of observer effect – The physicist measuring devices interact with what he is measuring on subatomic level.

Prediction in Human sciences

What enables Human Scientists to predict?

 The law of large numbers

 Reasoning enables us to establish a relationship between particular experience and more broadly general ones with in the world we perceive.

 Once we have explained the last event satisfactorily we can predict the up coming

 Through evidence, we can associate cause and effect, make correlations and predict.

 Understanding of pattern allows us to predict.

Why Human scientists find it difficult to Predict

Problems of applying the scientific method in the Human sciences

Impossible to carry out controlled experiment

Too many variables

Some observation biased

Individual behavior is unpredictable

The weakness of baseline assumptions limit the predictive ability of human sciences

“ It doesn ’ t matter if the assumptions are wrong as long as one can extract general rules from which one can make predictions ” ( perbylund.com/.../why-economists-predictions-arealways-wrong/

)

Sometimes the predictions are based on extrapolating well beyond what is reasonable .

The Phillips curve theory?

Example

The Phillips curve

The butterfly Effect

 The prediction of the behavior of any large system is virtually impossible unless one could account for all tiny factors

 A small change in some tiny variable may cause larger variation in a dynamic system

The Cassandra paradox

Example of interaction between a social investigator and what is been investigated

Unlike in natural science there is unavoidable interaction between the predictor and the people for whom the prediction is made

Human tend to try to falsify the predictions made about them

“ A prediction to you about you may motivate you to defy the prediction ” (Abel,116)

What about our measurements from thermometer?

Possible areas of weakness of theories in general

 Sometimes Impossible to experiment

 Danger overgeneralization (problem of induction)

 Obtaining precise prior knowledge

(measurement difficulties)

 Influence observer effect (uncertainty principle)

 Complexity and interacting variable

Implication on theory of plate tectonics

 There are things scientists can ’ t really measure but this variable may cause unpredicted effects. For instance exact measurement of the speed and age of plate is difficult.

Conclusion

In our presentation we have talked about the role of prediction in validating a scientific theory.

As we have seen from the 2004 tsunami incident our theories fail sometimes to predict.

Mismatch between theory of plate tectonics and

2004 tsunami

Uncertainty principle and observer effect

Historical approach versus experimental approach

But there are other qualities to validate scientific theory such as explanatory powers.

Bibliography

“ Sumatra Earthquake: New Data Overturn Common View That Great

Earthquakes Only Occur In Fast, Young Subduction Zones ” . sciencedialy. Jan. 10, 2007

.

Oct. 1, 2009.

< http://www.sciencedaily.com/releases/2007/01/070109142217.htm

>

“ Scientific Theory". Wikipediathe Free Encyclopedia . 2009.Nov. 3, 2009.

< en.wikipedia.org/wiki/Scientific_theory >

Bylund, Per. “ Why Economists ’ Predictions are Always Wrong ” .2009.

Nov. 3, 2009 . http://perbylund.com/blog/2009/05/why-economists-predictions-arealways-wrong/

Neuss, Geoffrey. Chemistry course companion. Oxford, USA: Oxford university press 2007. Nov. 3, 2009.

• Abel, Reuben. Man Is The Measure. New York: THE FREE PRESS 1976. 1

Oct 2009

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