basic scientific reasoning 11/19/2004. outline what is science? 2-4-6 problem h-d / d-n method the...
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Basic Scientific ReasoningBasic Scientific Reasoning
11/19/2004
OutlineOutline
• What is Science?• 2-4-6 Problem• H-D / D-N Method• The Quine-Duhem Thesis:
Christine Ladd-Franklin’s falsification of Helmholtz’s theory of color perception.
What is Science?What is Science?Astrology
Psychoanalysis
Physics
Psychophysics
Mathematics
Phrenology
Biology
Psychology
Scientology
Economics
Cognitive Science
Chemistry
Sociology
History
Cognitive Ethology
Defining ScienceDefining Science
• Is science defined by its method of reasoning?– Its results?– The phenomena it studies?– An attitude towards evidence?– A certain methodology?– Scientists?– The power relationships in which it is embedded?– Its value to the larger culture?– Use of (grounding on) mathematics?
Why should I care?Why should I care?
• ‘Science says that…’ ‘The top scientists think that…’
• States that have (or are) debated teaching creationism in elementary science education (2002-present):– Georgia– Kentucky– Kansas– Dover, Pennsylvania– Maryland– The President
A DemonstrationA Demonstration
• So how does ‘real’ science work?• 2-4-6 problem
Preliminary Lessons from Preliminary Lessons from 2-4-62-4-6
1. Science is an activity of real people who work in a social environment
2. There is nothing ‘special’ about the methods of reasoning used in science
3. When scientists ‘converge’ on the answer is often determined by social factors.
Structures of Reasoning Structures of Reasoning on display in 2-4-6on display in 2-4-6
Verification - Affirming the consequent:IF P THEN QQTHEREFORE, P
Example:IF aliens killed JFK, THEN there would be questions
regarding the ‘single-shooter’ theory.
There are questions regarding the ‘single-shooter’ theory.
THEREFORE, aliens killed JFK.
VerificationVerificationIF the rule is ‘Any three numbers such that x
< y < z’, THEN 2-4-6 will fit.2-4-6 does fitTHEREFORE, the rule is ‘Any three numbers
such that x < y < z’
IF the rule is ‘Any three numbers (x, y, z > 0) such that y = x+2 and z = y+2’, THEN 2-4-6 will fit.
2-4-6 does fit.THEREFORE, the rule is ‘Any three numbers (x, y, z
> 0) such that y = x+2 and z = y+2’
Verification’s ProblemsVerification’s Problems
• Can’t ensure the truth of the theory that entails the verified prediction
• Can’t distinguish between two theories that both entail the verified prediction
Structures of Reasoning Structures of Reasoning on display in 2-4-6on display in 2-4-6
Falsification - Modus Tollens:IF P THEN QNOT-QTHEREFORE, NOT-P
Example:IF aliens killed JFK, THEN Jack Ruby is an alien.
Jack Ruby is NOT an alien.
THEREFORE, aliens did NOT kill JFK.
FalsificationFalsificationApplication to 2-4-6:
IF the rule is ‘any three numbers (x,y,z) such that x > y < z’, THEN the sequence ‘4-2-8’ will fit.
The sequence 4-2-8 does NOT fit.THEREFORE, the rule is NOT ‘any three numbers
(x,y,z) such that x > y < z’
IF the rule is ‘any three symbols (x,y,z) such that x < y < z in their standard order’, THEN the sequence ‘a-b-c’ will fit.
The sequence a-b-c does NOT fit.THEREFORE, the rule is NOT ‘any three symbols
(x,y,z) such that x < y < z in their standard order’
Falsification’s Virtues & Falsification’s Virtues & VicesVices
• Still can’t ensure the truth of the theory that entails the verified prediction
• CAN distinguish between two theories, so long as there is at least one prediction that is entailed by one & NOT by the other.
The DN Model of The DN Model of ExplanationExplanation
• Explanations are sound arguments (valid w/ true premises) that entail the event to be explained.
L1, L2, … Ln
F1, F2, … Fn
E
Explanans
Explanandum
Laws (usually conditionals)Facts
Phenomenon Explained
ExampleExample
• Explanations are sound arguments (valid w/ true premises) that entail the event to be explained.
For all cases, if you stimulate the L cone, the subject experiences a sensation of red.
My L cone is stimulated
Therefore, I have a sensation of red.
Explanans
Explanandum
H-DH-D
• Notice the relation to falsification’s H-D method:
For all cases, if you stimulate the L cone, the subject will experience a sensation of red. I am not experience red
Therefore, my cone is not stimulated
Explanans
Explanandum
Notice also that all explanandi are potential predictions!
Real scientists don’t work that way.
Quine-Duhem ThesisQuine-Duhem Thesis
Any hypothesis can be defended in light of any evidence. (if you’re willing to make “drastic enough adjustments elsewhere” in your system of beliefs.)
IF Hypothesis is true, THEN Prediction.
Prediction is NOT true
THEREFORE, the hypothesis is NOT true
VALID
DogmatismDogmatism
Any proposition can be made consistent with any scientific theory, if one tries hard enough– Gender, Intelligence, Variability and
Pre- and Post-Darwin Biology– Myths of Gender by Anne Fausto-
Sterling
Here, the Devil lurksHere, the Devil lurks
IF my Hypothesis is true,
Prediction is NOT true
THEREFORE, at least one of (1) – (N) is NOT true
(1) AND My apparatus works,
(2) AND My experiment is correctly designed,
(3) AND My subject is of interest to others, …
THEN, prediction.
(N) AND ….
Delineating Phenomena Delineating Phenomena w/in ‘Memory’w/in ‘Memory’
Damn that Microsoft!
Have to do it online.
Raise your hand if you Raise your hand if you had:had:
• BAG• DOG• FAN• GAS• HAT• KID• LOG• PAD
• SOD• VEX• WIN• ZIP
Learning CurveLearning Curve
Definitions of ‘Memory’Definitions of ‘Memory’
• Maybe, my memory for IP addresses isn’t really ‘memory’?
• http://inquiry.wustl.edu/newFrames/modules.php?mod_id=437
For all normal humans, we only have the ability to remember 7 digits +/- 2
I’m a normal human
Therefore, I can only remember 7 digits +/- 2
Philosophers:Philosophers:
• (Plato / Aristotle?), Bergson, Russell, Ryle all distinguish between knowing how and knowing that. This distinction is transposed into memory:– I remember how to do arithmetic.– I remember that 2+2=4.– I remember how to get to Sears– I remember that Sears is on the
corner of …
Further Distinctions:Further Distinctions:
• I just remembered that I am supposed to be in class!
• Remember when Janet Jackson had her ‘wardrobe malfunction’?
• Remember where you were when the Towers collapsed?
• Pavlov’s dog.• Priming
Motor Skills
Memory
LTMSTM
Non-Declarative (Implicit)
Declarative (Explicit)
Episodic (Events)
Semantic (Facts)
Priming Classical Conditioning
1. Splitting Dissociable Kinds 1. Splitting Dissociable Kinds of Memoryof Memory
H.M. from the Perspective H.M. from the Perspective of Cognitive of Cognitive
NeuropsychologyNeuropsychology• Develop Taxonomies
of Memory• Characterize
Different Types of Memory
• Understand Neuro-cognitive Mechanisms
Memory
LTMSTM
Non-Declarative (Implicit)
Declarative (Explicit)
Episodic (Events)
Semantic (Facts)
Priming Classical Conditioning
Motor Skills
The Hippocampus The Hippocampus
Identify set of tasks on
which H.M. succeeds
(TS).
Identify set of tasks on
which he fails (TF).
Conjecture some
cognitive faculty
required for each task
in TS and for no task
in TF.
On which tasks does H.M. On which tasks does H.M. succeed?succeed?
• Perceptual and motor.• I.Q. tests.• Mirror Drawing.• Gollins Partial
Pictures.• Priming.• Classical and Operant
Conditioning.• Language.
On which tasks does H.M. On which tasks does H.M. fail?fail?
• Conscious recognition of facts and events (Squire)
• Regardless of kind of test (free recall, cued recall, recognition)
• Regardless of material (e.g., words, digits, faces, mazes, life events)
• Regardless of sensory modality• Conclusion: Loss of “Declarative
Memory”
Characteristics of Characteristics of Observational ResearchObservational Research
• Make some sort of record and analyse data obtained from it
• Does NOT manipulate or ‘intervene’ in the scenario.
Complexity of ObservationComplexity of Observation
• Expectations & Perception– Anomalous playing cards– Multi-modal feedback (Data from lyric
study)– Underdetermined Perception
• Influence of early hypotheses– Ratman study data
• Extending Perception w/ Instruments– Galileo / Hale-Bopp
Anomalous Playing CardsAnomalous Playing Cards
• Link
Ramones CorrectRamones Correct
Ramones IncorrectRamones Incorrect
Naturalistic ObservationNaturalistic Observation
• Observations made in the ‘natural’ setting of the organism.
• Researchers must immerse themselves in the setting.
• Task: to describe the setting, events, individuals observed w/out influencing the situation
• Often Qualitative, not Quantitative• Often NOT a matter of testing a
hypothesis, but rather gathering data to develop a testable hypothesis.
DataData
• Field notes, journal entries, interviews, recording ‘artifacts’
Famous Naturalistic Famous Naturalistic ObservationsObservations
• Jane Goodall• Charles Darwin• Survivor?
GoodallGoodall
• ‘Termite fishing’ and tool-use• Click Here
DarwinDarwin
• Sexual dimorphism is caused by three possible mechanisms:
1. mechanisms of sexual selection,2. fecundity selection3. ecological causation, e.g., resource-
partitioning
Darwin confirmedDarwin confirmed
Naturalistic Study 1Naturalistic Study 1
• Marmots• Cows • Horses• Hare • Squirrel• Deer
Problems for Systematic Problems for Systematic ObservationObservation
• Equipment (Nielson ratings)• Reactivity of subjects• Reliability (Mate selection in Blue
Tit)• Sampling• Confirmation Bias
Systematic ObservationSystematic Observation
• Careful, often quantitative, observations of one or more specific behaviors.
• Observations made in ‘quasi-natural’ setting
• Researchers often do NOT immerse themselves in the setting
• Quantitative, not qualitative (using coding systems)
• Often a matter of testing a hypothesis
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On th
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Sleep
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0
50
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350
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450
500
UCSD Wi05 (N=84 / 54f / UCSD Wi05 (N=84 / 54f / 30m)30m)
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200
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400
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McDaniel Fa04 (n=4 / 3m / McDaniel Fa04 (n=4 / 3m / 1f)1f)
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the
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100
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400
450
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Wash U Sp04 (n=11 / 4f / Wash U Sp04 (n=11 / 4f / 7m)7m)
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of d
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50
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150
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300
350
400
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UCSD Fa03 (n=10 / 5f / UCSD Fa03 (n=10 / 5f / 5m) 5m)
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On-lin
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TOTAL of
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of d
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0
100
200
300
400
500
600
Row 16
Row 17
Wash U Fa05 (n=3 / 1m / Wash U Fa05 (n=3 / 1m / 2f)2f)
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TOTAL of
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Tasks
of d
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socia
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Sleep
Other
0
100
200
300
400
500
600
Row 96
Row 97
UCSD Wi05 (N=84 / 54f / UCSD Wi05 (N=84 / 54f / 30m)30m)
12/3
0/18
99
01/2
3/19
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02/0
7/19
00
11/2
4/19
00
10/0
8/19
00
01/0
6/19
00
10/1
5/19
00
02/0
6/19
00
02/1
5/19
00
02/1
5/19
00
01/2
6/19
00
03/1
6/19
00
04/2
2/19
01
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0/19
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03/15/1900
05/10/1900
03/12/1900
04/09/1900
05/22/1900
01/30/1900
06/22/1900
02/14/1900
02/26/1900
03/08/1900
01/21/1900
08/21/1900
02/16/1901
02/22/1900
0
50
100
150
200
250
300
350
400
450
On the job (work for pay) In transit Get exercise In class Off-line study/class assignments On-line study/class assignments TOTAL of Study On-line (personal) Tasks of daily living Eat On the telephone/cellphone Relax/socialize Sleep Other
On the job (work for pay) In transit Get exercise In class Off-line study/class assignments On-line study/class assignments TOTAL of Study On-line (personal) Tasks of daily living Eat On the telephone/cellphone Relax/socialize Sleep Other
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0
100
200
300
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500
600
Row 16
Row 17
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Row 16
Row 17
UCSD Fa03 (n=10 / 5f / UCSD Fa03 (n=10 / 5f / 5m) 5m)
Coding SystemsCoding Systems
• Marmots 2
SamplingSampling
• Continuous• Time Sampling• Event Sampling
Dissociation and the Dissociation and the Taxonomy of MemoryTaxonomy of Memory
• A major theme in current studies of both humans and experimental animals is that memory is not a single entity but is composed of separate systems (Weiskrantz, 1990; Squire, 1992; Schacter and Tulving, 1994). The dissociation between declarative (explicit) and nondeclarative (implicit) memory is based on studies of experimental animals as well as amnesic patients and normal subjects showing that fact-and-event memory is distinct from other kinds of memory (skills, habits, and priming).– Squire and Knowlton
Memory Dissociation Memory Dissociation Argument in PhilosophyArgument in Philosophy
• Some X is a ‘natural kind’ iff in no possible world do parts of X exist without the whole and X still exists in that world (I.e. H2 w/out the O is not water).
• Hume’s claim: Two events are causally connected if and only if one might occur without the other.
• Why?– Because nothing can cause itself.– And if two events are necessarily conjoined,
they are the same event (with the exception of two events that are both caused by a third event like ‘Socrates dying’ and ‘Xantippe becoming a widow’).
Videos!Videos!
• KC
Biases in the Biases in the characterization of characterization of
ambiguous phenomenaambiguous phenomena
Famous FailuresFamous Failures
American 19American 19thth century century ‘Polygeny’‘Polygeny’
• The hypothesis: the ranking of races according to intelligence can be established objectively by a physical measurement, namely brain size
• Samuel George Morton 1830s – 1850s studied the cranial capacity of a library of skulls categorized by race.
Morton:Morton:
• Data?– Obtained a collection of over 600
skulls, mostly of native Americans & published a study Crania Americana in 1839
– Then obtained a collection of mummy skulls from Egypt and published Crania Aegyptiaca in 1844.
• Measurement device? – = mustard seed, that is, until it
started producing unfavorable results, then switch to BBs (1/8 inch diameter steel ball).
Egyptians:Egyptians:
Crania AmericaCrania America Categories Categories
• Malay• American• Ethiopian• Caucasian• Mongolian
The DataThe Data
65947829Ethiopian
6010082144American
64898118Malay
69938310Mongolian
751098752Caucasian
SmallestLargestMeanNRace
11stst: Crania America: Crania America
• Morton: mean 82 inches.– Morton divided the ‘American’ skulls into
‘Toltecans’ and ‘Barbarous tribes’. • 82 inches is the average of the ‘Barbarous tribes’.• The real average is 80.2• BUT, Morton’s failed to distinguish other groups =
such as the Incan Peruvians who have an mean of 74.36, BUT make up 25% of the sample.
• Iroquois, on the other hand, contribute only 3 skulls that have a mean near 87.
• Gould corrected the biases and came up with an mean of 83.79
22ndnd: Over-count : Over-count CaucasiansCaucasians
• The 17 ‘Hindu’ skulls, whose mean is 75, were eliminated from the Caucasian sample BUT 3, whose mean was near 87 were admitted. Why?
• Once these are restored, and the samples weighted, the Caucasian mean is 84.45
• (And Eskimos, if pulled out from the ‘Mongol’ group, get a mean of 86.8)
22ndnd: : Crania Aegyptiaca Crania Aegyptiaca CategoriesCategories
• Caucasian– Pelasgic– Semitic– Egyptian
• Negroid• Negro
173Negro
679Negroid
3980 Egyptian
582 Semitic
2188 Pelasgic
Caucasian
NMean Capacity
People
Creeping Bais 1: Creeping Bais 1: CategorizationCategorization
• The skulls were from Mummies – so on what grounds is he categorizing & sub-categorizing race?
• “Negroid” is someone he believed was black, but had some ‘caucasian’ blood.
• His subdivision of the Caucasian race is based on, guess what? The bulbous-ness of the forehead. The mean of the entire group is 82.15
Creeping Bias 2: GenderCreeping Bias 2: Gender• Male heads tend to be bigger than
female heads (because male bodies tend to be bigger than female bodies). Since this data is based on mummified remains, we can adjust for gender.
87.5 (2)75.5 (4)Negroid
73 (1)Negro
86.5 (24)77.2 (22)Caucasian
MaleFemaleRace
Incidentally…Incidentally…
• There is a great variation in the body size of native Americans. If we rank Morton’s Crania America categories according to typical body size (Seminole largest, Peruvians smallest), we match his cranial capacity ranking exactly.
Creeping Bias 3: Creeping Bias 3: Subconscious mis-Subconscious mis-
measurementmeasurement• Morton published his entire data tables,
including a couple of the tables measured with both seed AND lead shot. The averages were adjusted thus:– 111 Indian skulls: +2.2 inches– 19 Caucasians: +1.8 inches– 18 Africans: +5.4 inches
– The measurement tool most likely to exemplify a priori bias did.
Here are the full Here are the full categories:categories:
• Modern Caucasian Group– Teutonic Family
• Germans• English• Anglo-Americans
– Pelasgic Family– Celtic Family– Indostanic Family– Semitic Family– Nilotic Family
– Malay Group– Malayan Family– Polynesian Family
•Mongolian Group–Chinese Family
•Ancient Caucasian Group–Pelasgic Family–Nilotic Family
•Negro Group–Native African Family–American-born Negros–Hottentot Family–Australians
•American Group–Toltecan Family
•Peruvians•Mexicans
–Barbarous Tribes
And here’s his data:And here’s his data:
• Excel File
Summary: Biases creep:Summary: Biases creep:
1. Shifting categories2. Ambiguous measurements will
reveal prejudices (artifacts of instruments)
3. Failure to consider alternative hypotheses (I.e. body size / gender)
4. Miscalculations (confirmation bais)
(Brief) History of Color (Brief) History of Color ScienceScience
Basic Schema:
Hermann von HelmholtzHermann von Helmholtz(1821-1894)(1821-1894)
Short = Purple Middle = Green Long = Red
Historical Note:Historical Note:• In 1877, Ladd-Franklin became the first woman
to attend (albeit unofficially) Johns Hopkins where she studied mathematics.
• She wrote a dissertation under the supervision of C.S. Pierce. It was published in 1883, but her Ph.D. was not awarded until 1926!
• Even though she had studied under Helmholtz and had published a great deal in psychological journals, she was never admitted to the American Psychological Association meetings to present her papers.
• While she lectured at John Hopkins, Columbia, Clark, Harvard and Chicago, she never held an official academic post, and she was rarely paid.
• Her book Color and Color Theories was finally published in 1929, one year before her death.
Ladd-Franklin (1847-1930)Ladd-Franklin (1847-1930)IF stimulating the long-wavelength cone yields a red experience, and stimulating the middle-wavelength cone yields a green experience, THEN stimulating both the long and middle-wavelength cone would….
yield an experience of reddish-green
L-F’s argument (L-F’s argument (≈≈1892)1892)
IF stimulating the long-wavelength cone yields a red experience, and stimulating the middle-wavelength cone yields a green experience, THEN stimulating both the long and middle-wavelength cone would yield an experience of reddish-green
Stimulating L and M yields an experience of yellow.
THEREFORE, Helmholtz’s theory is NOT true
Yellow does NOT look like reddish-green.
THEREFORE, yellow is NOT reddish-green.
Good Argument Right?
Why not?Why not?“Helmholtz deemed it illegitimate or at least
untrustworthy to draw conclusions as to physiological processes from the direct psychological character of the sensations”-Von Kries
Q-D for HelmholtzQ-D for Helmholtz
IF stimulating the Long-wavelength cone yeilds a red experience, and stimulating the middle-wavelength cone yields a green experience, THEN stimulating both the Long and Middle-wavelength cone would yield an experience of reddish-green
Stimulating L and M yields an experience of yellow.
THEREFORE, Helmholtz’s theory is NOT true
THEREFORE, Yellow is NOT reddish-green.
Yellow does NOT look like reddish-green.
BUT: One cannot draw conclusions about the physiology of color from this fact, so it does not follow that:
yellow is not reddish-green or greenish-red.
Note:Note:
The Gestalt Psychologist David Katz made the phenomenology of color appearance the starting point for a theory of color (1908).
Vindication:Vindication:In 1957, Dorothea Jameson & Dale
Hurvich proposed what is now called the ‘opponent-processing’ model of color perception. According to it, colors are given by mixing 4 primary colors which are arranged in opponent pairs:Red GreenBlue Yellow
This is now the dominant theory in color science
VindicationVindicationPerformed by Jameson and Hurvich in 1957. A test light is shown to a subject. If the light appears greenish, a red-appearing light is added until the test light no longer appears at all greenish.
Jameson and Hurvich Jameson and Hurvich ResultsResults
Cone Sensitivity CurvesCone Sensitivity Curves
Mathematical Transformation Mathematical Transformation of Cone Sensitivity Functionsof Cone Sensitivity Functions
• We decorrelate the responses of the L, M and S cones by weighting each signal with a constant, and combining those results:
C1() = 1.0L() + 0.0M() + 0.0S()
C2() = -0.59L() + 0.80M() + -0.12S()
C3() = -0.34L() + -0.11M() + 0.93S()
Opponent Processing Opponent Processing ModelModel
Falsification (finally)Falsification (finally)• In 1977, Edwin Land produced a
falsification:The particular relationship between the stimulus of the L, M and S cones is both NECESSARY and SUFFICIENT for determining a particular color sensation. (Given trichromatic perceivers and normal conditions)
Helmholtz
(sufficiency) Produce a case where two objects stimulate the L, M and S cones in exactly the same way, but produce two different color sensations(necessity) Produce a case where two objects stimulate the L, M and S cones in different ways, yet produce the same color sensation.
Two falsifications required:
MondriansMondrians
5.8 (L)3.2 (M)1.6 (S)
These values held for red, green and blue patches, yet the patches still appeared red, green and blue!
5.8 (L)3.2 (M)1.6 (S)
Tristimulus values Tristimulus values sufficient for color sufficient for color
appearanceappearanceAccording to the Helmholtz theory, IF objects reflect the same tristimulus values, THEN they will appear to be the same color.
A patch in the first Mondrian reflects the tristimulus values of 5.8(L), 3.2 (M) and 1.6 (S), yet looks red.A patch in the second Mondrian reflects the tristimulus values of 5.8(L), 3.2 (M) and 1.6 (S), yet looks blue.
(from 1) IF the Helmholtz theory is correct, THEN the patch in the first Mondrian will appear to be the same color as the patch in the second Mondrian.They do NOT appear to be the same color.
THEREFORE, the Helmholtz theory is NOT correct.
Tristimulus values Tristimulus values necessary for color necessary for color
appearanceappearanceAccording to the Helmholtz theory, IF two objects appear to be the same color, THEN they will reflect the same tristimulus values.
Before Land turned the projectors on, the red patch looks red.
After Land turned the projectors on, the red patch looks red.
(from 1) IF the Helmholtz theory is correct, THEN the patch that continues to look red must reflect the same tristimulus values when the projectors are on & off.
The patch that continues to look red does NOT reflect the same tristimulus values when the projectors are on as it does when they are off.
THEREFORE, the Helmholtz theory is NOT correct.
Helmholtz’ responseHelmholtz’ response(from 1) IF the Helmholtz theory is correct, THEN the patch that continues to look red must reflect the same tristimulus values when the projectors are on & off.
The patch looks red w/ the projector OFF and it reflects tristimulus values x, y, z
THEREFORE, the Helmholtz theory is NOT correct.
The patch looks red w/ the projector ON and it reflects tristimulus values a, b, c
BUT: One cannot draw conclusions about the physiology of color from this fact, so…
The patch looks red w/ the projectors OFF, but it is really isn’t. (or vice versa)
TimelineTimeline
1856: Helmholtz proposes his theory
1892: Christine Ladd-Franklin formulates her argument.
1957: Theory change following Jameson & Hurvich
1977: Land’s Falsification
64 years! 20 years
1908: Gestalts.
Why Theory Change?Why Theory Change?
• New Technology (Galileo's Telescope)
• Socio-cultural factors (Ladd-Franklin)
• Mathematics (Jameson & Hurvich)
Alternatives for Alternatives for DemarcationDemarcation
1. Verification2. Falsification3. Lakatos’ ‘Progressive v.
Degenerative’4. Sociological factors5. Explanation in terms of
mechanism.