The use of statistics as evidence

A quick search in Wikipedia returns its definition as:

The use of statistics as evidence

In science[ edit ] Cherry-picking is often used in science denial such as climate change denial. For example with deliberately cherry picking appropriate time periods, herean artificial "pause" can be created, even when there is an ongoing warming trend. For example, it is used in climate change denialdenial of the negative health effects of the consumption tobacco products and passive smoking and evolution denial by creationists.

Rigorous science looks at all the evidence rather than cherry picking only favorable evidencecontrols for variables as to identify what is actually working, uses blinded observations so as to minimize the effects of bias, and uses internally consistent logic.

Their findings suggest that patients in current antidepressant trials represent only a minority of patients treated in routine clinical practice for depression.

The use of statistics as evidence

Excluding potential clinical trial subjects with certain profiles means that the ability to generalize the results of antidepressant efficacy trials lacks empirical support, according to the authors. Cherry picking in debates is a large problem as the facts themselves are true but need to be put in context.

Because research cannot be done live and is often untimely, cherry-picked facts or quotes usually stick in the public mainstream and, even when corrected, lead to widespread misrepresentation of groups targeted.

Chooselife -Statistics suicide in Scotland

One-sided argument[ edit ] A one-sided argument also known as card stacking, stacking the deck, ignoring the counterevidence, slanting, and suppressed evidence [9] is an informal fallacy that occurs when only the reasons supporting a proposition are supplied, while all reasons opposing it are omitted.

Philosophy professor Peter Suber has written: It may not even make the argument unsound. The fallacy consists in persuading readers, and perhaps ourselves, that we have said enough to tilt the scale of evidence and therefore enough to justify a judgment.

If we have been one-sided, though, then we haven't yet said enough to justify a judgment.

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The arguments on the other side may be stronger than our own. We won't know until we examine them. So the one-sidedness fallacy doesn't mean that your premises are false or irrelevant, only that they are incomplete.

A one-sided argument only presents the pro side of the argument, while a two-sided argument presents both sides. Which one you use will depend on which one meets your needs and the type of audience. Generally, one-sided arguments are better with audiences already favorable to your message.

An encyclopedia of philosophy articles written by professional philosophers.

Two-sided arguments are best with audiences who are opposed to your argument, are better educated or have already been exposed to counter arguments. The technique is commonly used in persuasive speeches by political candidates to discredit their opponents and to make themselves seem more worthy.

The magician knows the order and is able to control the outcome of the trick. In poker, cards can be stacked so that certain hands are dealt to certain players.

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Whenever a broad spectrum of information exists, appearances can be rigged by highlighting some facts and ignoring others. Card stacking can be a tool of advocacy groups or of those groups with specific agendas.SURE is a mechanism to support WHO to strengthen evidence-informed policy-making in Africa.

About SURE. Supporting the Use of Research Evidence (SURE) for policy in African health systems is a collaborative project that builds on and supports the Evidence-Informed Policy Network (EVIPNet) in Africa and the Region of East Africa Community Health (REACH) Policy Initiative.

The use of statistics as evidence

The adjective ‘data driven’ has become very popular in marketing circles in past years. A quick search in Wikipedia returns its definition as: The adjective data-driven means that progress in an activity is compelled by data, rather than by intuition or personal experience.

It is often labeled as business jargon for what scientists call evidence-based . In addition to national crime data, the publication also contains agency-level data, regional data, state totals, data from cities and counties grouped by populations, and statistics from certain.

When writing an essay, you will often be asked to utilize appropriate sources for evidence, including facts and definitions. In this video, we will. In the most recent episode of Emergency Medicine Cases Journal Jam, Rory, Anton, and I cover the evidence for (for against) using BNP in the emergency lausannecongress2018.com are my notes.

Summary. Looking at observational data, BNP and NT-proBNP both appear to have a good sensitivities for CHF, but only moderate to poor specificities. Evidence-Based Medicine and Statistics Introductory Overview Lecture JSM Christopher Schmid Evidence-Based Medicine Evidence-based medicine is the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients Sackett et al.

Oxford. • Use random treatment assignment to.

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