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— How to torture data to justify public policy — How to torture data to justify public policy

— How to torture data to justify public policy - PowerPoint Presentation

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Uploaded On 2019-03-02

— How to torture data to justify public policy - PPT Presentation

Sinclair Davidson Brussels December 7 2017 A bleak perspective But anyone who after the twentieth century still thinks that thoroughgoing socialism nationalism imperialism mobilization central planning regulation zoning price controls tax policy labor unions business cartels governme ID: 754583

data government results policy government data policy results tax attention commissioned century price review thoroughgoing snooping council plain packaging

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Presentation Transcript

Slide1

—How to torture data to justify public policy

Sinclair DavidsonBrussels December 7, 2017Slide2

A bleak perspective

But anyone who after the twentieth century still thinks that thoroughgoing socialism, nationalism, imperialism, mobilization, central planning, regulation, zoning, price controls, tax policy, labor unions, business cartels, government spending, intrusive policing, adventurism in foreign policy, faith in entangling religion and politics, or most of the thoroughgoing nineteenth-century proposals for government action are still neat, harmless ideas for improving our lives is not paying attention.

Deirdre

McCloskey Slide3

My thoughts

Government has lost its way. Since abandoning its role as an impartial player in society it has taken to abusing the trust we invest in it. The corresponding abuse of evidence-based policy should alarm everyone.Ask yourself – how appropriate is it for a government and its agencies and its financially supported NGOs to ‘

denormalise

’ a segment of its population? Slide4

The Australian government has a track record in dubious

public policy research:FuelWatch (omitted variable bias)

Stimulusgate

(data snooping)

Mining

tax (incorrect interpretation of empirical results)

Carbon

tax (fudging results and definition of costs)

Plain packaging.Slide5

How I came to be involved

Initially argued against policy on IP grounds.Then journal editor commissioned a paper.Then watched hysterical response and realised a cover-up was in progress. Slide6

Highlights of plain packaging debate

Household consumption dataThe 3.4% lieCancer Council surveysConflict of interestWho commissioned data (was proper tender process followed?)

Methodological problems

Lack of diagnostics (100% miss on a hit-miss table)

Timing problems

Peer review?

Were contractual obligations met?

Cancer Council Press release and Carly Weeks smear

Post-implementation Review

Data snooping around trend lines

Unusual base case

0.55% result smaller than 0.6% sample error.

Price not included in analysis. Slide7

Lessons

Read the original source literature yourself.Pay attention to methodPay attention to tables Examine the data yourself.Try to replicate the results

What results have not been reported?

Perform robustness tests

Look for Type III errors

.

The correct answer to a different question

Ignore propaganda.

Check facts.

Especially check ‘facts’ that you ‘know’ to be true

Use Freedom of Information laws to access data.

Prepare to be demonised.

“It is dangerous to be right when the government is wrong”

Government relies on statistical ignorance of the population and cynicism towards statistics