“good” science?

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What is Good Science in

Society and the Courts?

Presentation to the Western Occupational Safety &

Health Group of ORC – 16 June 2009, Irvine, CA.

Mike Cooper, Senior Managing Scientist, Exponent Inc.

mcooper@exponent.com

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Definitions

Good Science – Process of formal reasoning

Clear, well defined methodology

Allows independent testing & verification

Replicable data and defined analysis

Open debate, healthy skepticism, respect

Veracity in methodology, data collection, and reporting - ethical

Conclusions drawn from data instead of foregone

Junk Science aka Novel Science – Unproven or questionable

Term used in US political and legal disputes that labels questionable scientific data, research, or analyses as spurious or worse…

• The term Junk Science was used prior to 1985 when it was referenced in by a US Dept. of Justice Tort policy working group as meaning “invalid scientific evidence” which resulted in findings of causation which can not be justified

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Ideal

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Reality

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Examples

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1962 Silent Spring, R. Carson

1985 Outrageous Misconduct – The Asbestos Industry on Trial, P. Brodeur

1991 Galileo’s Revenge – Junk Science in the Courtroom, P. Huber

1993 Huber’s Junk Scholarship, K. Chesebro

1998 Dancing Naked in the Minefield, K. Mullis

2000 The Expert Witness Scam, L. Robertson (reprinted 2006)

2002 Deceit & Denial, The Deadly Politics of Industrial Pollution, G. Markowitz, G. D. Rosner

2003 Bushwacked, Life in GW Bush’s America, M. Nina, L. Dubose

Science in the Private Interest; Has the Lure of Profits Corrupted Biomedical Research?, S. Krimsky

2008 Poisoned Profits- the Toxic Assault on our Children, P. &A., Shabecoff

Doubt is their Product- How Industry’s Assault on Science Threatens Your Health, D. Michaels

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Even a New Word is Coined…

Agnotology

“ the study of culturally induced ignorance or doubt, particularly the publication of inaccurate or misleading scientific data”

Wikipedic definition- coined in the early part of the decade by Stanford professor R. Proctor citing the highly publicized data from the tobacco industry

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Some Results

• Public trust in science & scientists is under scrutiny

Funding & other disclosure issues

Private research (industry, trade associations) submitted to regulators

Rules differ for Federal funded; data, CBI, Data Quality Act, no conflict

Bias is assumed – everyone has a dog in the fight

• Polarization

Public apathy or public involvement

Increased call for regulations

• Causation/product legal issues

Antidotal claims increase

Causal and conspiracy theories abound

Sometimes… good science can get lost in the mix…

• Cost

Regulatory delay & belief that the public is hurt as a result

Companies have been hurt (cost/time/brand)

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So… why is the science debated?

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• Science theories and methods are used to establish legal causation and establish liability

• The stakes are high: competition, profits, funding, careers, ego, etc.

The practice of science remains a human endeavour

Science Causation

David Hume – “ proof is impossible in empirical science ”

Hill Criteria or Viewpoints (1965) built on the1964 Surgeon

General’s Report

Strength

Consistency

Specificity

Temporality

Biological gradient

Plausibility

Coherence

Experimental Evidence

Analogy

Federal Judiciary Committee (2000)- Reference Manual on

Scientific Evidence

Association

Causation judgments

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Causality

Reference Manual on Scientific Evidence

Can not be inferred by data analysis alone

One must infer that causality exists on the basis of an underlying causal theory that explains the relationship between the two variables

Even with an appropriate theory is established, causality can never be inferred directly

One must also look for empirical evidence that there is a causal relationship

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Casuality - cont

The absence of a correlation does not guarantee that a casual relationship does not exist- lack of correlation can exist if

Insufficient data

Data are measured inaccurately

Data do not allow multiple causal events to be sorted out

Model is wrong; omission of variables or variables

Two variables that are correlated does not guarantee that there is a relationship…

It could be that the model does not reflect the correct interplay of the variables

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Tension

There is a tension between any attempt to reach conclusions with near certainty…

…and… the inherently probabilistically nature of multiple regression analysis.

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EU Precautionary Principle

Third North Sea Conference 1990

“The participants…will continue to apply the precautionary principle, that is to take action to avoid potentially damaging impacts of substances that are persistent, toxic, and liable to bioaccumulate even when there is no scientific evidence to prove a causal link between emissions and effects”

Treaty on European Union 1992

“Community policy on the environment…shall be based on the precautionary principle and on the principles that preventative actions should be taken, that the environmental damage should as a priority be rectified at source and that the polluter should pay”

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Contrast of PP Emphasis

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prevention of serious & irreversible effects

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persistent, toxic and liable to bioaccumulate

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lack of full scientific certainty shall not be used as a reason to postpone action

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cost-effective measures

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difference between knowing about a hazard and the likely causes – and understanding the underlying scientific processes

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use of minority scientific opinion in setting public policy making

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latent lag-times between exposure and health effects

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zero exposure and risk is the only acceptable solution

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Scientific process

yes/no gate

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How does a scientific company perform “good” science?

Two example categories

• Basic science is performed to determine causation, investigate issues, test theories, expand scientific knowledge, come up with better ideas to prevent failures

• Determine conclusions from the body of scientific literature

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Example Piper Alpha

Background

• Piper Alpha Oil platform in the North Sea cost

$1B to build; produced 250k barrels and 100M ft3 gas per day

• 1988 fire and explosion- 167 killed, $2-3B paid in insurance claim, 25% British oil production lost for 1y, greatest single insurance loss caused by man

• Alleged cause of accident scientifically investigated

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Results

• Cause found to be a leaking gas valve + spark

• Investigation showed chain of events in accident

Water suppression turned off

Crew working on generator over shift change

Lifeboats did not inflate

Crew quarters above process level contributed to deaths

Difficulty getting to helo pad

• Society Changes

Science altered the way platforms were built

Changed location of crew quarters & access

Redundant systems

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Example - Science Literature

Background

• Potential public health issue - 33% women over 18 and

10% of men over 40 are estimated to use hair dyes

• Paraphenylenediammine is an arylamine used extensively in permanent hair dyes

• Exposure to certain arylamines has been associated with bladder cancer based on hydroxylated metabolites

& possible genotoxic potential

• IARC 1997 suggested that there is inadequate epidemiologic evidence that the personal use of hair dye entails exposures that are carcinogenic

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Literature Reviews

Body of Literature

Huncharek &

Kupelnick

2005 – Public

Health Reports

Takkouche et.al.

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JAMA

Suggested that an association exists between personal hair dye use and bladder cancer ?

Suggested that NO association exists between personal hair dye use and bladder cancer

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Path Forward

• Protect good science & the right of industry to fund/perform good science & research.

• Disclose funding sources and move on… debate the science.

• Support open and transparent public debate.

• Merge good science with feasibility/cost.

• Identify and quantify uncertainties.

• Minimize ad hominum arguments.

• Admit & learn from errors.

Watch List

• EU enforcement of the precautionary principle and further adoption by the US Regulatory community

• Use of the evidence based decision making – e.g. the Cochrane Approach

• Revision of history in the liability debate

• Comprehensive product chemical & life cycle analysis – Biomonitoring, Green Chemistry

Initiative

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“The essence of science is that it is corrigible”

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Supplemental

Example

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Example - Dateline

Background

• During a CPSC review and following a lawsuit and appeal of a fatality case, NBC alleges safety defects in GM C/K trucks in 1992

• Video made of a 30 mph test crash by the independent Institute for Auto Safety was used in a NBC Dateline program. Video shows crash results in a fire – questions raised

• An investigation followed…

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Tanks were x-rayed and it determined that they had not ruptured

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Gas cap found to be generic

Gas was reportedly filled to the neck of the tank

Similar crash tests at 30mph had been performed without compromising the truck fuel tanks

Crash speed determined to be closer to 40mph

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Video footage analysed frameby-frame showed smoke originating from the truck undercarriage

Remnants of wiring and a burnt rocket motor (incendiary device) were found in the cab

Conclusion : During the crash gasoline spilled from the full tank and was externally ignited.

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Results

• GM filed defamation suit

• NBC retracted the conclusions and issued an apology

NBC director and reporter fired, independent auto safety firm not in business anymore

• Lawsuit was settled by GM

• Society Changes

Tragic event & loss - someone should pay

Debate enters legal & regulatory arena for causation

Media “scientific demonstration” is made public

Defense needs a scientific inquiry

Bad science is exposed, reparations are made

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