Anne Wojcicki Quotes

A lot of science doesn't require big "ns" but if you're trying to understand something about human health and you're looking at interventions that are not going to be either killing you or making you live forever - they're going to have some tweaking on the outcome - you need big numbers or you don't have enough power.

If your experiment needs statistics, you ought to have done a better experiment.

The value and utility of any experiment are determined by the fitness of the material to the purpose for which it is used, and thus in the case before us it cannot be immaterial what plants are subjected to experiment and in what manner such experiment is conducted.

It is important to consider whether the sample size selected by the Environmental Genome Project will provide sufficient power to discover most alleles relevant to gene-environment interactions.

Being insignificant statistically doesn't mean it's right or wrong. It just means you don't have enough data to show yes or no.

When you start using test audiences, it becomes more scientific than it is about the work itself, and that's boring.

People will often take an interesting experimental study which has been done in the world, perhaps at small scale, and then it's touted as some big solution.

The best scientific way to discover if one factor influences another is to do a controlled experiment.

All too often when liberals cite statistics, they forget the statisticians' warning that correlation is not causation.

I have never had an interest in opinion polls. They are merely an indicator, that's all.

Every time I think that political analysts and writers will finally recognize that most of them don't understand much about political polls, they prove me wrong. They don't know how to read them; they don't understand the importance of cross tabs within a given poll, and they don't know how to analyze them.

We should be cautious about embracing data before it is published in the academic press, and must always avoid treating correlation as causation.

Definition of a Statistician: A man who believes figures don't lie, but admits than under analysis some of them won't stand up either.

Certainly, last year we did an episode about the census and sampling versus a direct statistic. You just said the word 'census,' and people fall asleep.

Bobby and I went through some old questionnaires about customer requirements for languages, then we compiled a new one and sent it out to a few dozen people we knew.

Be able to analyze statistics, which can be used to support or undercut almost any argument.

Any one game in baseball doesn't tell you that much, just as any one poll doesn't tell you that much.

At the beginning of all experimental work stands the choice of the appropriate technique of investigation.

We spend our time bandying statistics about.

Statistics is the plural of anecdote.

… scientists are required to back up their claims not with private feelings but with publicly checkable evidence. Their experiments must have rigorous controls to eliminate spurious effects.

Stats are for losers. They relish in them.

Our polling methodology has gotten outdated, and, in fact, it's not really telling us what it needs to be telling us.

The data are what matter in economics, and the more ruthlessness that an economist can summon to make sense of the data, the more useful his findings will be.

If you don't have material, you don't have an experiment.