Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - contact me Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca on Twitter Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - Lumondo Photography Martin Krzywinski / Genome Sciences Center / mkweb.bcgsc.ca - Hilbertonians - Creatures on the Hilbert Curve
This love loves love. It's a strange love, strange love.Liz Fraserwatch

laughter: beautiful


More than Pretty Pictures—Aesthetics of Data Representation, Denmark, April 13–16, 2015


fun + amusement

Dummer — Like Nothing Else


The Hummer font is a slightly modified Antique Olive Nord. The Like Nothing Else tag line is Trade Gothic. Both have character widths increased to 110-120% and individually adjusted kerning. Get the Illustrator CS5 file for both logos.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Hummer logo. (EPS, PNG)
Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer logo. (EPS, PNG)
Download high-resolution images.

This project might give you the impression that I don't like Hummers. You'd be right.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
It could be worse. But not by much. (zoom)
Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
It could be worse. But not by much. (zoom)
Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
It could be worse. But not by much. (zoom)

update

The Maurauder. Over 25,000 lb — five times what an H3 weighs. Enough said.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
There is always someone with a bigger one. (Manufacturer's page.)

Dummer - Like Nothing Else

Hummers are a cultural equivalent of a toxic warning label and have the same effect on me as bug spray on mosquitoes.

I am not the first one to satirize this automotive aberration, so there's some hope.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like Nothing Else. (New York Times — Laugh Lines)

GM's advertisement images require no modification for the satire, which makes it all that much better.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dumb and Dumber. (New York Times — Laugh Lines)

I could have just as well used the Lincoln Navigator or Cadillac Escalade, but they don't embody the superlative like the Hummer.

The Hummer brand proved itself to be aesthetically, rationally and economically unsustainable and collapsed after a failed attempt to sell it to China. There continues to be a robust market for used Hummers. Let the farce continue.

I'm hated

It delights me that this project produced my first hate mail.

I want to meet Doug and give him a hug for adding another dimension to this project.

I'm loved

The images got picked up by the New York Times laughlines blog, which drew a couple of fan mails.

But neither made me feel as good as Doug's email.

Dummer Images

Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)
Dummer. Like nothing else. A pretty good Hummer satire. / Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dummer. Like nothing else. (zoom)

news + thoughts

Before and After—Designing Tiny Figures for Nature Methods

Tue 13-01-2015

I've posted a writeup about the design and redesign process behind the figures in our Nature Methods Points of Significance column.

I have selected several figures from our past columns and show how they evolved from their draft to published versions.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Fig 2 from Points of Significance: Nested designs. (Krzywinski, M. & Altman, N. (2014) Nature Methods 11:977-978.) (...more)

Clarity, concision and space constraints—we have only 3.4" of horizontal space— all have to be balanced for a figure to be effective.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Fig 2c (excerpt) from Points of Significance: Designing comparative experiments. (Krzywinski, M. & Altman, N. (2014) Nature Methods 11:597-598.) (...more)

It's nearly impossible to find case studies of scientific articles (or figures) through the editing and review process. Nobody wants to show their drafts. With this writeup I hope to add to this space and encourage others to reveal their process. Students love this. See whether you agree with my decisions!

Sources of Variation

Thu 08-01-2015

Past columns have described experimental designs that mitigate the effect of variation: random assignment, blocking and replication.

The goal of these designs is to observe a reproducible effect that can be due only to the treatment, avoiding confounding and bias. Simultaneously, to sample enough variability to estimate how much we expect the effect to differ if the measurements are repeated with similar but not identical samples (replicates).

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Sources of Variation. (read)

We need to distinguish between sources of variation that are nuisance factors in our goal to measure mean biological effects from those that are required to assess how much effects vary in the population.

Altman, N. & Krzywinski, M. (2014) Points of Significance: Two Factor Designs Nature Methods 11:5-6.

Background reading

1. Krzywinski, M. & Altman, N. (2014) Points of Significance: Designing Comparative Experiments Nature Methods 11:597-598.

2. Krzywinski, M. & Altman, N. (2014) Points of Significance: Analysis of variance (ANOVA) and blocking Nature Methods 11:699-700.

3. Blainey, P., Krzywinski, M. & Altman, N. (2014) Points of Significance: Replication Nature Methods 11:879-880.

...more about the Points of Significance column

Two Factor Designs

Tue 09-12-2014

We've previously written about how to analyze the impact of one variable in our ANOVA column. Complex biological systems are rarely so obliging—multiple experimental factors interact and producing effects.

ANOVA is a natural way to analyze multiple factors. It can incorporate the possibility that the factors interact—the effect of one factor depends on the level of another factor. For example, the potency of a drug may depend on the subject's diet.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Two Factor Designs. (read)

We can increase the power of the analysis by allowing for interaction, as well as by blocking.

Krzywinski, M., Altman, (2014) Points of Significance: Two Factor Designs Nature Methods 11:1187-1188.

Background reading

Blainey, P., Krzywinski, M. & Altman, N. (2014) Points of Significance: Replication Nature Methods 11:879-880.

Krzywinski, M. & Altman, N. (2014) Points of Significance: Analysis of variance (ANOVA) and blocking Nature Methods 11:699-700.

Krzywinski, M. & Altman, N. (2014) Points of Significance: Designing Comparative Experiments Nature Methods 11:597-598.

...more about the Points of Significance column

Nested Designs—Assessing Sources of Noise

Mon 29-09-2014

Sources of noise in experiments can be mitigated and assessed by nested designs. This kind of experimental design naturally models replication, which was the topic of last month's column.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Nested designs. (read)

Nested designs are appropriate when we want to use the data derived from experimental subjects to make general statements about populations. In this case, the subjects are random factors in the experiment, in contrast to fixed factors, such as we've seen previously.

In ANOVA analysis, random factors provide information about the amount of noise contributed by each factor. This is different from inferences made about fixed factors, which typically deal with a change in mean. Using the F-test, we can determine whether each layer of replication (e.g. animal, tissue, cell) contributes additional variation to the overall measurement.

Krzywinski, M., Altman, N. & Blainey, P. (2014) Points of Significance: Nested designs Nature Methods 11:977-978.

Background reading

Blainey, P., Krzywinski, M. & Altman, N. (2014) Points of Significance: Replication Nature Methods 11:879-880.

Krzywinski, M. & Altman, N. (2014) Points of Significance: Analysis of variance (ANOVA) and blocking Nature Methods 11:699-700.

Krzywinski, M. & Altman, N. (2014) Points of Significance: Designing Comparative Experiments Nature Methods 11:597-598.

...more about the Points of Significance column