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Arete-Zoe, LLC 
POWERED BY
THE MEANING OF INFORMATION 
Requirements, 
needs 
Planning, 
direction 
Collection 
Processing 
Re-evaluation 
Analysis 
production 
Dissemination 
Need for 
high quality 
decisions 
Work within 
available 
time 
Need for 
Consensus 
SCIENTIFIC PUBLICATIONS ARE A SPECIALIZED FIELD OF INTELLIGENCE 
Trade offs
SCOPE 
• Human Medicine 
• Veterinary medicine 
• Clinical research 
• Pharmacovigilance 
• Drug development 
• Pharmaceutical research 
• Epidemiology 
• Environmental science 
• Toxicology and forensics 
• Life Sciences 
• Environmental science
REQUIREMENTS, NEEDS 
• S.W.O.T. analyses 
• Project pipeline review 
• In-project reviews 
• Internal safety assessments 
• Internal assessments of benefit:risk profile 
• Mandatory literature screening and regulatory reports
PLANNING, DIRECTION 
• Medical journals 
• Case histories 
• Published studies 
• Reviews, articles, meta-analyses 
• Patents 
• Regulatory information 
• Legal cases, litigation 
• Press releases 
• Customer communications 
• Clinical trial registries 
• Press, media, tabloids 
• Disease registries 
• Treatment guidelines 
• Safety databases 
• Industry reports 
• Competitors’ pipeline assessments 
• Geopolitical development 
• Regional / local sources 
• Social networks 
OBJECTIVE 
PURPOSE 
TARGET AUDIENCE 
REGULATORY REQUIREMENTS 
• MANDATORY SCREENING 
• DUE DILIGENCE EFFORTS 
• INTERNAL DECISION-MAKING 
• PROJECT REVIEWS 
• BUSINESS DECISIONS 
• RESEARCH STRATEGIES 
• RISK EVALUATION 
• KNOWN KNOWNS 
• KNOWN UNKNOWNS 
• KNOWLEDGE GAPS 
• KNOWN PAST FAILURES 
• CONFIRMED NEGATIVES
PLANNING, DIRECTION 
Background research is a vital component of scientific research process 
Literature review refers to an exhaustive, extensive, and systematic examination 
of available information on the researched subject and provides answers to a 
defined research problem or question 
• To determine the extent of current knowledge already developed in order to identify 
known knowns, known unknowns, and make a qualified estimate of unknown 
unknowns 
• To identify the definition of concepts and variables which have already been 
established in the literature 
• To examine the research designs and methods, and analytical techniques used by 
previous researchers and make predictions for methods and research designs which 
are likely to accomplish the desired outcome 
• To identify findings relevant for the research subject of interest as well as means and 
methods which are unlikely to yield a positive result (negative studies) 
• To become aware of difficulties experienced by others and methods used to 
overcome them, both successful and unsuccessful
INTELLIGENCE COLLECTION 
Basic research, Drug discovery 
Academia 
Drug discovery, pre-clinical 
Biotech 
(Pre-clinical), clinical, PMS 
Industry Innovator 
(Pre-clinical), clinical, PMS 
Industry Competitor 
Clinical, PMS 
Federal Agencies 
Clinical, PMS 
Hospitals, Others 
• Objectives 
• Purpose 
• Drivers 
• Motivators 
• Incentives 
• Rewards 
• Funding 
• Policy 
• Strategy 
• Personality 
• Preferences 
Medical Journals 
Materials for 
regulators 
(accessible and 
proprietary) 
Materials for 
business partners 
(proprietary) 
Communications 
to customers 
and the public 
Databases, 
Registries
DATABASES, REGISTRIES 
REGISTRIES 
Alzheimer’s Prevention Registry 
Breast Cancer Surveillance Consortium 
Breast Family Cancer Family Registry 
Bronchiectasis Research Registry 
Cancer Genetics Network 
Clinical Trials Public Data Share Website 
Colon Family Cancer Family Registry 
CMDIR 
DS-Connect™: The Down Syndrome 
Registry 
The Environmental Polymorphisms Registry 
(EPR) — Using DNA to Study Disease 
eyeGENE®: The National Ophthalmic 
Disease Genotyping and Phenotyping 
Network 
Genetic Testing Registry (GTR) 
GenomeConnect 
Global Rare Diseases (Patient) Registry and 
Data Repository (GRDR) 
Inherited bone marrow failure syndrome 
International Bone Marrow Transplant 
Registry Database 
Lupus Family Registry and Repository 
Myasthenia Gravis Patient Registry (etc) 
• 
• FOIA requests 
• Archival materials 
• Customer feedback from internal databases 
• Primary source data such as EHRs where 
available and relevant
Our range of expert, focused services to make it 
easier to know... 
How to help 
innovate, 
discover 
patterns, 
validate 
ideas, and 
go to 
market. 
How to 
acquire 
e-books 
strategically 
for libraries 
and 
corporations. 
How to put 
the world's 
validated 
information 
within easy 
reach. 
How to 
manage, 
link and 
share 
citations 
and writing. 
How 
libraries 
can work 
better and 
invigorate 
the research 
experience 
for users. 
How to 
power 
selection 
and 
collection 
analysis.
DATABASES 
Leading Content 
• Embase® 
• MEDLINE® 
• BIOSIS Previews® 
• SciSearch® Current Contents 
• Chemical Business Newsbase 
• Derwent Drug File 
• IMS R&D Focus 
• Adis R&D Insight 
Industry Specific Databases 
• CAB Abstracts - FSTA 
• PsycInfo 
• Incidence & Prevalence 
10 
Comprehensive collection of key biomedical 
literature from the world’s leading publishers
PATENTS COLLECTION 
The Patents collection on ProQuest Dialog is a comprehensive collection of 
authoritative global patent sources. With the full text from 33 country 
authorities, plus three patent families, it combines precision search with full 
text availability 
60+ Engineering databases 
50+ Biomedical databases 
20+ News and Trade databases 
11 
Unparalleled collection of 
• non-patent scientific and 
technical literature 
• business literature 
• global news and trade 
• prior art 
INPADOC 
• ProQuest Dialog complete patent family 
Derwent World Patents Index 
• Derwent patent family, abstracts, assignees 
Patents Citation Index 
• Backward and forward citation coverage 
IFI CLAIMS US patents 
• Unique, enhanced, exclusive content 
LitAlert 
• US patent and trademark litigations 
IMS Patents Focus 
• Drug patent families
DATABASES, REGISTRIES 
REGISTRIES 
Alzheimer’s Prevention Registry 
Breast Cancer Surveillance Consortium 
Breast Family Cancer Family Registry 
Bronchiectasis Research Registry 
Cancer Genetics Network 
Clinical Trials Public Data Share Website 
Colon Family Cancer Family Registry 
CMDIR 
DS-Connect™: The Down Syndrome 
Registry 
The Environmental Polymorphisms Registry 
(EPR) — Using DNA to Study Disease 
eyeGENE®: The National Ophthalmic 
Disease Genotyping and Phenotyping 
Network 
Genetic Testing Registry (GTR) 
GenomeConnect 
Global Rare Diseases (Patient) Registry and 
Data Repository (GRDR) 
Inherited bone marrow failure syndrome 
International Bone Marrow Transplant 
Registry Database 
Lupus Family Registry and Repository 
Myasthenia Gravis Patient Registry (TBC) 
•
INFORMATION PROCESSING 
I. USEFULNESS, ACCURACY, CORRECTNESS 
II. EVALUATION OF INFORMATION 
• Source reliability assessment (competency and past behavior based) 
• Bias assessment (motivators, interests, funding, objectives) 
• Conflicts of interest 
• Sources of funding, important business relationships 
• Grading of individual items (study, report, analysis, article) 
III. COLLATION OF INFORMATION 
• Exclusion of irrelevant, incorrect, and useless information 
• Arrangement of information in a form which enables real-time analysis 
• System for rapid retrieval of information 
INTELLIGENCE 
INFORMATION
VALIDITY ASSESSMENT 
Components of internal and external validity of controlled clinical trials 
Internal validity — extent to which systematic error (bias) is minimized in clinical trials 
Selection bias: biased allocation to comparison groups 
Performance bias: unequal provision of care apart from treatment under evaluation 
Detection bias: biased assessment of outcome 
Attrition bias: biased occurrence and handling of deviations from protocol and loss to 
follow up 
External validity — extent to which results of trials provide a correct basis for 
generalization to other circumstances 
Patients: age, sex, severity of disease and risk factors, comorbidity 
Treatment regimens: dosage, timing and route of administration, type of treatment within 
a class of treatments, concomitant treatments 
Settings: level of care (primary to tertiary) and experience and specialization of care 
provider 
Modalities of outcomes: type or definition of outcomes and duration of follow up 
Assessing the quality of controlled clinical trials. BMJ 2001;323:42
VALIDITY ASSESSMENT 
The QUALITY of the finished intelligence product depends directly 
on the premises that support the inference(s). 
Premise VALIDITY is mainly a function of data evaluation 
The more CERTAIN the premises, the more ACCURATE the inference(s) 
DEVELOPING INFERENCES 
(1) Use all applicable, relevant information 
(2) Describe and integrate fragmented information 
(3) Formulate premises 
(4) Develop alternative hypothesis 
(5) Use probability values to assess certainty 
(6) Avoid logical fallacies 
CERTAINTY 
PROBABILITY 
CONFIDENCE
PERCEPTION TRAPS 
We tend to perceive what we expect to perceive 
Mind-sets tend to be quick to form but resistant to change 
New information is assimilated to 
existing images
COGNITIVE BIASES 
Cognitive biases are mental errors caused by our simplified 
information processing strategies. 
• Cultural, emotional or intellectual predisposition toward a certain judgment 
• Distinct from cultural bias, organizational bias, and bias that results from 
one’s own self-interest 
• Cognitive biases are similar to optical illusions in that the error remains 
compelling even when one is fully aware of its nature. Awareness of the 
bias, by itself, does not produce a more accurate perception. 
When evidence is lacking or ambiguous, the analyst evaluates hypotheses by 
applying his or her general background knowledge concerning the nature of 
systems and behavior.
COGNITIVE BIASES 
Vividness 
Vivid, concrete, and personal information has a greater impact than pallid, 
abstract information that may actually have substantially greater value as evidence 
Absence of Evidence 
 estimate potential impact of missing data and adjust confidence in judgment 
 Use of FAULT TREES 
Oversensitivity to Consistency “out of sight, out of mind” 
• highly correlated or redundant information, or drawn from a very small or biased 
sample 
. 
Law of small numbers - tendency to place too much reliance on small samples 
Coping with Evidence of Uncertain Accuracy 
Misunderstanding, misperception, incomplete story; source bias; distortion in the 
communication chain, or misunderstanding and misperception by the analyst 
Persistence of Impressions Based on Discredited Evidence 
Impressions tend to persist even after the evidence that created those impressions 
has been fully discredited.
BIASES IN CAUSE AND EFFECT 
Biases in Perception of Cause and Effect 
When inferring the causes of behavior, too much weight is accorded to personal qualities and 
dispositions of the actor and not enough to situational determinants. 
Bias in Favor of Causal Explanations 
People expect patterned events to look patterned, and random events to look random, but this is not the 
case. Random events often look patterned. 
Bias Favoring Perception of Centralized Direction 
Tendency to see the actions of organizations as the intentional result of centralized direction and 
planning. Accidents, unintended consequences, coincidences, and small causes leading to large effects 
are perceived as coordinated actions, plans and conspiracies. 
Similarity of Cause and Effect 
Rule of thumb people use is to consider the similarity between attributes of the cause and attributes of the 
effect. Assumption that big events have important consequences, does not apply. 
Internal vs. External Causes of Behavior (Attributional bias) 
A fundamental error made in judging the causes of behavior is to overestimate the role of internal factors 
and underestimate the role of external factors. 
Overestimating Our Own Importance 
Individuals and organizations tend to overestimate the extent to which they successfully influence the 
behavior of others: familiar with own efforts, much less with factors that influenced the other's decision. 
Illusory Correlation 
Correlation alone does not necessarily imply causation. For example, two events might co-occur because 
they have a common cause, rather than because one causes the other. But when two events or changes 
do co-occur, and the time sequence is such that one always follows the other, people often infer that the 
first caused the second.
PUBLICATION BIAS 
Trials reporting positive findings are more likely to be published, and to be 
published faster, than those reporting negative findings. 
Publication of a single study multiple times works like an amplifier which makes 
anecdotal findings appear more relevant than they really are. 
PUBLICATIONS 
Medline 
Embase 
Derwent Drug File 
BIOSIS Previews 
SciSearch 
IMS R&D Focus 
Adis R&D Insight 
CLINICAL TRIALS 
ClinicalTrials.gov 
EU CT register 
National registries 
WHO registry 
• Unpublished studies 
• Studies published multiple times 
• Missing study ID (linking 
publication to study) 
• Selective publication of data 
• Fewer than half of published 
trials are registered 
• Fewer than half of registered 
trials are ever published in peer-reviewed 
journals
CURVEBALL EFFECT 
HUMINT source codenamed ‘Curveball’ proved to be one of the most 
significant intelligence failures. His account of mobile chemical and biological 
laboratories in Iraq turned out to be a complete fabrication, yet it was seized 
upon by the US administration as strong evidence. 
FRAUD: 
• Falsification of data in proposing, designing, performing, recording, 
supervising or reviewing research, or in reporting research results 
• Falsification includes both acts of omission (consciously not revealing 
all data) and commission (consciously altering or fabricating data) 
Fraudulent study data: 
 ALL AFFECTED PUBLICATIONS RETRACTED? 
 STUDIES NOT ACCEPTED FOR NDAs/ANDAs? 
 EXISTING APPROVALS BASED ON CURVEBALL DATA REVIEWED? 
Robert 
FIDDES 
Borison- 
Diamond 
Eric 
Poehlman 
Stratton VA 
Nicholas Lawrence Adams: Why Did ‘Intelligence’ Fail Britain and America in Iraq? King’s College London Jul 25 2012
2009 GAO REPORT 
The GAO report describes cases in 
which investigators 
• Stole study funds 
• Received illegal Medicare 
kickbacks 
• Falsified X-rays and lab tests to 
fraudulently show efficacy 
• Manipulated test results 
• Committed fraud relating to data 
submissions or patient records, 
• Committed fraud relating to 
creating patient records for non-existent 
patients.
FRAUDULENT RESEARCH 
Scott Reuben, MD, was sentenced to six months in prison in 2010. 
• his “research” on popular pain killers like Celebrex (celecoxib) and 
Lyrica (pregabalin) is unretracted. 
Wayne MacFadden, MD, resigned as US medical director for Seroquel 
(quetiapine) in 2006, after sexual affairs with two coworker women researchers 
surfaced, but the related work is unretracted and was even part of Seroquel’s 
FDA approval package for bipolar disorder 
Designwrite - Pfizer’s marketing firm authored more than 50 ghostwritten papers 
about hormone therapy (HT) 
• the papers claimed no link between HT and breast cancer 
• false claims of cardiac and cognitive benefits 
• none of the articles has been retracted. 
Pfizer/Parke-Davis - Neurontin (gabapentin) promotion 
• 13 ghostwritten articles placed in medical journals promoting off-label uses 
• only Cochrane Database has retracted the specious articles 
…FRAUDULENT RESEARCH NOT RETRACTED
FALLACY 
Fallacies of Omission 
• Oversimplification: An inference that fails to account adequately for all of the complex 
conditions under consideration. 
• Inadequate sampling: A fallacy produced by drawing inferences (estimates) from 
samples that are too few or from samples that are not truly representative. 
• Mistaken cause: An unwarranted cause and effect relationship established between 
events or conditions that coincidentally exist at the same time or precede one another. 
• False dilemma: A fallacy in which only the extreme alternatives are considered. 
Fallacies of False Assumptions 
• Begging the question: Instead of responding to the question or problem, the question 
is rephrased or the problem is replaced with another. 
• Hypothesis contrary to fact: A fallacy that occurs when someone states decisively 
what would have happened had the circumstance been different, providing a 
hypothesis that cannot he verified. 
• Misused analogies: When reasoning from analogy, the analyst assumes that the 
object or event in the real world is similar to the object or event in the analogy. 
Analogies are inappropriate as evidence or proof in analytical work. Analogies are most 
appropriately used for helping to explain or clarify a concept.
INTELLIGENCE ANALYSIS 
DIAGNOSTIC TECHNIQUES: 
• Key assumption check 
• Quality of Information check 
• Indicators or signposts of change 
• Analysis of competing hypotheses 
CONTRARIAN TECHNIQUES: 
• Devil’s advocacy 
• Team A & Team B 
• High-Impact/Low-Probability Analysis 
• “What If?” Analysis 
IMAGINATIVE THINKING TECHNIQUES 
• Brainstorming 
• Outside-In Thinking 
• Red Team Analysis 
• Alternative Futures Analysis 
STRUCTURED ANALYTIC TECHNIQUES
ATTRIBUTES OF GOOD INTELLIGENCE 
OBJECTIVITY: Does it avoid mirror imaging, cultural bias, and prejudicial 
judgments? 
RELEVANCE: Does it relate directly to the end user’s area responsibility and 
mission? 
ACCURACY: Did the producer clearly articulate the level of confidence in its 
accuracy? 
PRECISION: Does it have the required level of detail to satisfy the needs of 
the end user at his or her operational level? 
COMPLETENESS: Were all of the user’s requirements addressed in the level 
of detail necessary to satisfy his or her needs? 
USABILITY: Did it arrive in a format that the end user can easily understand 
and assimilate into his or her decision-making process? 
AVAILABILITY: Was it readily accessible to the user at the appropriate 
security classification or accessibility? 
ANTICIPATION: Does it anticipate the intelligence needs of the customer?
DISSEMINATION 
• Form 
• Accessibility to individuals and functions 
• Availability through systems and platforms 
• Time limitation
RE-EVALUATION 
INTELLIGENCE PROVIDED 
Evaluation of its impact 
Evaluation of its usefulness 
PROCESS 
Measurement of effectiveness of the process 
Measurement of integrity of the process 
Feedback  Adjustment

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Biomedical Literature

  • 2. THE MEANING OF INFORMATION Requirements, needs Planning, direction Collection Processing Re-evaluation Analysis production Dissemination Need for high quality decisions Work within available time Need for Consensus SCIENTIFIC PUBLICATIONS ARE A SPECIALIZED FIELD OF INTELLIGENCE Trade offs
  • 3. SCOPE • Human Medicine • Veterinary medicine • Clinical research • Pharmacovigilance • Drug development • Pharmaceutical research • Epidemiology • Environmental science • Toxicology and forensics • Life Sciences • Environmental science
  • 4. REQUIREMENTS, NEEDS • S.W.O.T. analyses • Project pipeline review • In-project reviews • Internal safety assessments • Internal assessments of benefit:risk profile • Mandatory literature screening and regulatory reports
  • 5. PLANNING, DIRECTION • Medical journals • Case histories • Published studies • Reviews, articles, meta-analyses • Patents • Regulatory information • Legal cases, litigation • Press releases • Customer communications • Clinical trial registries • Press, media, tabloids • Disease registries • Treatment guidelines • Safety databases • Industry reports • Competitors’ pipeline assessments • Geopolitical development • Regional / local sources • Social networks OBJECTIVE PURPOSE TARGET AUDIENCE REGULATORY REQUIREMENTS • MANDATORY SCREENING • DUE DILIGENCE EFFORTS • INTERNAL DECISION-MAKING • PROJECT REVIEWS • BUSINESS DECISIONS • RESEARCH STRATEGIES • RISK EVALUATION • KNOWN KNOWNS • KNOWN UNKNOWNS • KNOWLEDGE GAPS • KNOWN PAST FAILURES • CONFIRMED NEGATIVES
  • 6. PLANNING, DIRECTION Background research is a vital component of scientific research process Literature review refers to an exhaustive, extensive, and systematic examination of available information on the researched subject and provides answers to a defined research problem or question • To determine the extent of current knowledge already developed in order to identify known knowns, known unknowns, and make a qualified estimate of unknown unknowns • To identify the definition of concepts and variables which have already been established in the literature • To examine the research designs and methods, and analytical techniques used by previous researchers and make predictions for methods and research designs which are likely to accomplish the desired outcome • To identify findings relevant for the research subject of interest as well as means and methods which are unlikely to yield a positive result (negative studies) • To become aware of difficulties experienced by others and methods used to overcome them, both successful and unsuccessful
  • 7. INTELLIGENCE COLLECTION Basic research, Drug discovery Academia Drug discovery, pre-clinical Biotech (Pre-clinical), clinical, PMS Industry Innovator (Pre-clinical), clinical, PMS Industry Competitor Clinical, PMS Federal Agencies Clinical, PMS Hospitals, Others • Objectives • Purpose • Drivers • Motivators • Incentives • Rewards • Funding • Policy • Strategy • Personality • Preferences Medical Journals Materials for regulators (accessible and proprietary) Materials for business partners (proprietary) Communications to customers and the public Databases, Registries
  • 8. DATABASES, REGISTRIES REGISTRIES Alzheimer’s Prevention Registry Breast Cancer Surveillance Consortium Breast Family Cancer Family Registry Bronchiectasis Research Registry Cancer Genetics Network Clinical Trials Public Data Share Website Colon Family Cancer Family Registry CMDIR DS-Connect™: The Down Syndrome Registry The Environmental Polymorphisms Registry (EPR) — Using DNA to Study Disease eyeGENE®: The National Ophthalmic Disease Genotyping and Phenotyping Network Genetic Testing Registry (GTR) GenomeConnect Global Rare Diseases (Patient) Registry and Data Repository (GRDR) Inherited bone marrow failure syndrome International Bone Marrow Transplant Registry Database Lupus Family Registry and Repository Myasthenia Gravis Patient Registry (etc) • • FOIA requests • Archival materials • Customer feedback from internal databases • Primary source data such as EHRs where available and relevant
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  • 10. DATABASES Leading Content • Embase® • MEDLINE® • BIOSIS Previews® • SciSearch® Current Contents • Chemical Business Newsbase • Derwent Drug File • IMS R&D Focus • Adis R&D Insight Industry Specific Databases • CAB Abstracts - FSTA • PsycInfo • Incidence & Prevalence 10 Comprehensive collection of key biomedical literature from the world’s leading publishers
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  • 12. DATABASES, REGISTRIES REGISTRIES Alzheimer’s Prevention Registry Breast Cancer Surveillance Consortium Breast Family Cancer Family Registry Bronchiectasis Research Registry Cancer Genetics Network Clinical Trials Public Data Share Website Colon Family Cancer Family Registry CMDIR DS-Connect™: The Down Syndrome Registry The Environmental Polymorphisms Registry (EPR) — Using DNA to Study Disease eyeGENE®: The National Ophthalmic Disease Genotyping and Phenotyping Network Genetic Testing Registry (GTR) GenomeConnect Global Rare Diseases (Patient) Registry and Data Repository (GRDR) Inherited bone marrow failure syndrome International Bone Marrow Transplant Registry Database Lupus Family Registry and Repository Myasthenia Gravis Patient Registry (TBC) •
  • 13. INFORMATION PROCESSING I. USEFULNESS, ACCURACY, CORRECTNESS II. EVALUATION OF INFORMATION • Source reliability assessment (competency and past behavior based) • Bias assessment (motivators, interests, funding, objectives) • Conflicts of interest • Sources of funding, important business relationships • Grading of individual items (study, report, analysis, article) III. COLLATION OF INFORMATION • Exclusion of irrelevant, incorrect, and useless information • Arrangement of information in a form which enables real-time analysis • System for rapid retrieval of information INTELLIGENCE INFORMATION
  • 14. VALIDITY ASSESSMENT Components of internal and external validity of controlled clinical trials Internal validity — extent to which systematic error (bias) is minimized in clinical trials Selection bias: biased allocation to comparison groups Performance bias: unequal provision of care apart from treatment under evaluation Detection bias: biased assessment of outcome Attrition bias: biased occurrence and handling of deviations from protocol and loss to follow up External validity — extent to which results of trials provide a correct basis for generalization to other circumstances Patients: age, sex, severity of disease and risk factors, comorbidity Treatment regimens: dosage, timing and route of administration, type of treatment within a class of treatments, concomitant treatments Settings: level of care (primary to tertiary) and experience and specialization of care provider Modalities of outcomes: type or definition of outcomes and duration of follow up Assessing the quality of controlled clinical trials. BMJ 2001;323:42
  • 15. VALIDITY ASSESSMENT The QUALITY of the finished intelligence product depends directly on the premises that support the inference(s). Premise VALIDITY is mainly a function of data evaluation The more CERTAIN the premises, the more ACCURATE the inference(s) DEVELOPING INFERENCES (1) Use all applicable, relevant information (2) Describe and integrate fragmented information (3) Formulate premises (4) Develop alternative hypothesis (5) Use probability values to assess certainty (6) Avoid logical fallacies CERTAINTY PROBABILITY CONFIDENCE
  • 16. PERCEPTION TRAPS We tend to perceive what we expect to perceive Mind-sets tend to be quick to form but resistant to change New information is assimilated to existing images
  • 17. COGNITIVE BIASES Cognitive biases are mental errors caused by our simplified information processing strategies. • Cultural, emotional or intellectual predisposition toward a certain judgment • Distinct from cultural bias, organizational bias, and bias that results from one’s own self-interest • Cognitive biases are similar to optical illusions in that the error remains compelling even when one is fully aware of its nature. Awareness of the bias, by itself, does not produce a more accurate perception. When evidence is lacking or ambiguous, the analyst evaluates hypotheses by applying his or her general background knowledge concerning the nature of systems and behavior.
  • 18. COGNITIVE BIASES Vividness Vivid, concrete, and personal information has a greater impact than pallid, abstract information that may actually have substantially greater value as evidence Absence of Evidence  estimate potential impact of missing data and adjust confidence in judgment  Use of FAULT TREES Oversensitivity to Consistency “out of sight, out of mind” • highly correlated or redundant information, or drawn from a very small or biased sample . Law of small numbers - tendency to place too much reliance on small samples Coping with Evidence of Uncertain Accuracy Misunderstanding, misperception, incomplete story; source bias; distortion in the communication chain, or misunderstanding and misperception by the analyst Persistence of Impressions Based on Discredited Evidence Impressions tend to persist even after the evidence that created those impressions has been fully discredited.
  • 19. BIASES IN CAUSE AND EFFECT Biases in Perception of Cause and Effect When inferring the causes of behavior, too much weight is accorded to personal qualities and dispositions of the actor and not enough to situational determinants. Bias in Favor of Causal Explanations People expect patterned events to look patterned, and random events to look random, but this is not the case. Random events often look patterned. Bias Favoring Perception of Centralized Direction Tendency to see the actions of organizations as the intentional result of centralized direction and planning. Accidents, unintended consequences, coincidences, and small causes leading to large effects are perceived as coordinated actions, plans and conspiracies. Similarity of Cause and Effect Rule of thumb people use is to consider the similarity between attributes of the cause and attributes of the effect. Assumption that big events have important consequences, does not apply. Internal vs. External Causes of Behavior (Attributional bias) A fundamental error made in judging the causes of behavior is to overestimate the role of internal factors and underestimate the role of external factors. Overestimating Our Own Importance Individuals and organizations tend to overestimate the extent to which they successfully influence the behavior of others: familiar with own efforts, much less with factors that influenced the other's decision. Illusory Correlation Correlation alone does not necessarily imply causation. For example, two events might co-occur because they have a common cause, rather than because one causes the other. But when two events or changes do co-occur, and the time sequence is such that one always follows the other, people often infer that the first caused the second.
  • 20. PUBLICATION BIAS Trials reporting positive findings are more likely to be published, and to be published faster, than those reporting negative findings. Publication of a single study multiple times works like an amplifier which makes anecdotal findings appear more relevant than they really are. PUBLICATIONS Medline Embase Derwent Drug File BIOSIS Previews SciSearch IMS R&D Focus Adis R&D Insight CLINICAL TRIALS ClinicalTrials.gov EU CT register National registries WHO registry • Unpublished studies • Studies published multiple times • Missing study ID (linking publication to study) • Selective publication of data • Fewer than half of published trials are registered • Fewer than half of registered trials are ever published in peer-reviewed journals
  • 21. CURVEBALL EFFECT HUMINT source codenamed ‘Curveball’ proved to be one of the most significant intelligence failures. His account of mobile chemical and biological laboratories in Iraq turned out to be a complete fabrication, yet it was seized upon by the US administration as strong evidence. FRAUD: • Falsification of data in proposing, designing, performing, recording, supervising or reviewing research, or in reporting research results • Falsification includes both acts of omission (consciously not revealing all data) and commission (consciously altering or fabricating data) Fraudulent study data:  ALL AFFECTED PUBLICATIONS RETRACTED?  STUDIES NOT ACCEPTED FOR NDAs/ANDAs?  EXISTING APPROVALS BASED ON CURVEBALL DATA REVIEWED? Robert FIDDES Borison- Diamond Eric Poehlman Stratton VA Nicholas Lawrence Adams: Why Did ‘Intelligence’ Fail Britain and America in Iraq? King’s College London Jul 25 2012
  • 22. 2009 GAO REPORT The GAO report describes cases in which investigators • Stole study funds • Received illegal Medicare kickbacks • Falsified X-rays and lab tests to fraudulently show efficacy • Manipulated test results • Committed fraud relating to data submissions or patient records, • Committed fraud relating to creating patient records for non-existent patients.
  • 23. FRAUDULENT RESEARCH Scott Reuben, MD, was sentenced to six months in prison in 2010. • his “research” on popular pain killers like Celebrex (celecoxib) and Lyrica (pregabalin) is unretracted. Wayne MacFadden, MD, resigned as US medical director for Seroquel (quetiapine) in 2006, after sexual affairs with two coworker women researchers surfaced, but the related work is unretracted and was even part of Seroquel’s FDA approval package for bipolar disorder Designwrite - Pfizer’s marketing firm authored more than 50 ghostwritten papers about hormone therapy (HT) • the papers claimed no link between HT and breast cancer • false claims of cardiac and cognitive benefits • none of the articles has been retracted. Pfizer/Parke-Davis - Neurontin (gabapentin) promotion • 13 ghostwritten articles placed in medical journals promoting off-label uses • only Cochrane Database has retracted the specious articles …FRAUDULENT RESEARCH NOT RETRACTED
  • 24. FALLACY Fallacies of Omission • Oversimplification: An inference that fails to account adequately for all of the complex conditions under consideration. • Inadequate sampling: A fallacy produced by drawing inferences (estimates) from samples that are too few or from samples that are not truly representative. • Mistaken cause: An unwarranted cause and effect relationship established between events or conditions that coincidentally exist at the same time or precede one another. • False dilemma: A fallacy in which only the extreme alternatives are considered. Fallacies of False Assumptions • Begging the question: Instead of responding to the question or problem, the question is rephrased or the problem is replaced with another. • Hypothesis contrary to fact: A fallacy that occurs when someone states decisively what would have happened had the circumstance been different, providing a hypothesis that cannot he verified. • Misused analogies: When reasoning from analogy, the analyst assumes that the object or event in the real world is similar to the object or event in the analogy. Analogies are inappropriate as evidence or proof in analytical work. Analogies are most appropriately used for helping to explain or clarify a concept.
  • 25. INTELLIGENCE ANALYSIS DIAGNOSTIC TECHNIQUES: • Key assumption check • Quality of Information check • Indicators or signposts of change • Analysis of competing hypotheses CONTRARIAN TECHNIQUES: • Devil’s advocacy • Team A & Team B • High-Impact/Low-Probability Analysis • “What If?” Analysis IMAGINATIVE THINKING TECHNIQUES • Brainstorming • Outside-In Thinking • Red Team Analysis • Alternative Futures Analysis STRUCTURED ANALYTIC TECHNIQUES
  • 26. ATTRIBUTES OF GOOD INTELLIGENCE OBJECTIVITY: Does it avoid mirror imaging, cultural bias, and prejudicial judgments? RELEVANCE: Does it relate directly to the end user’s area responsibility and mission? ACCURACY: Did the producer clearly articulate the level of confidence in its accuracy? PRECISION: Does it have the required level of detail to satisfy the needs of the end user at his or her operational level? COMPLETENESS: Were all of the user’s requirements addressed in the level of detail necessary to satisfy his or her needs? USABILITY: Did it arrive in a format that the end user can easily understand and assimilate into his or her decision-making process? AVAILABILITY: Was it readily accessible to the user at the appropriate security classification or accessibility? ANTICIPATION: Does it anticipate the intelligence needs of the customer?
  • 27. DISSEMINATION • Form • Accessibility to individuals and functions • Availability through systems and platforms • Time limitation
  • 28. RE-EVALUATION INTELLIGENCE PROVIDED Evaluation of its impact Evaluation of its usefulness PROCESS Measurement of effectiveness of the process Measurement of integrity of the process Feedback  Adjustment

Editor's Notes

  1. KEY SLIDE POINTS: Introduce the core brand promise for each business unit SCRIPTING: Each business delivers specialized expertise in an area of focus, making it easier for you to know… <read the business unit promises>.
  2. Evaluation of evidence is a crucial step in analysis, but what evidence people rely on and how they interpret it are influenced by a variety of extraneous factors. We seldom take the absence of evidence into account. The human mind is also oversensitive to the consistency of the evidence, and insufficiently sensitive to the reliability of the evidence. Finally, impressions often remain even after the evidence on which they are based has been totally discredited