To demonstrate how tariffs can impact American products, Financial Times focuses on the parts and manufacturing of a Chevrolet Silverado pick-up truck (paywalled). Over half of the 673,000 Silverados produced last year were built in Mexico and Canada.

When you see surveys that supposedly ask the same question, you might wonder why the results vary over a wide range. Christine Zhang and Ruth Igielnik, for The New York Times, show how pollsters frame their questions can have that effect, in the context of tariff approval.

A generic question about tariffs showed favorability ratings below half of respondents, whereas polls that mentioned China produced higher favorability.

So if policymakers use poll results in their decision-making, this should emphasize the importance of good sampling, or at least skepticism about who’s asking the questions.

Luis Melgar and Rachel Lerman, for the Washington Post, highlight the value of goods from Mexico, Canada, and China. While it’s hard to say how much tariffs will affect consumers directly, it seems like inflated grocery prices aren’t going away any time soon:

One of the first places shoppers may feel the impact of increased tariffs is in the grocery aisle. The United States imported $9.9 billion worth of vegetables and more than $11 billion worth of fruit and frozen juices from Mexico in 2023.

“The proposed tariffs would have a significant impact on food prices,” David Ortega, a food economist and professor at Michigan State University, said before the tariffs were officially enacted. Price hikes would come after years of high inflation in grocery aisles, a top concern for Americans in the last election.

The trade data is from USA Trade, maintained by the Census Bureau.

We’ve mostly heard about tariffs as they apply further down the supply chain and onto the shelves of your local retailer. For Reuters, Sarah Slobin and Howard Schneider show how tariffs can apply to much more.

It isn’t just consumer goods like those Mexican avocados or French wines or Bangladeshi T-shirts that are imported. U.S. industries also import vast amounts of equipment, parts and machinery from abroad to power their own factories. Canada, meanwhile, is a major source of energy and raw materials like lumber for homebuilding and potash for agriculture.

It appears that gray and neutral tones on houses are a sign of gentrification in cities. To demonstrate, for the Washington Post, Marissa Lang and John Harden analyzed D.C. house images from Google Street View for color usage. Tim Meko visualized the main colors:

Take this as you like. I live in an area with all neutral colors, and the HOA would have a hissy fit for anything otherwise, but I like my neighborhood. Mainly, I am into Meko’s paint swatch aesthetic to match the topic.

One might hope that people on a waiting list for an organ transplant were treated from top to bottom, individual by individual. It’s not that simple though. For The New York Times, Brian M. Rosenthal, Mark Hansen, and Jeremy White illustrate the complex reality of the queue.

The Times analyzed more than 500,000 transplants performed since 2004 and found that procurement organizations regularly ignore waiting lists even when distributing higher-quality organs. Last year, 37 percent of the kidneys allocated outside the normal process were scored as above-average. Other organs are not scored in the same way, but donor age is often used as a proxy for quality, and data shows there is little difference in the age of organs allocated normally compared with those that are not.

And while many people in the transplant community believe ignoring lists is reducing organ wastage, there is no evidence that is true, according to an unreleased report by a group of doctors and researchers asked by the transplant system last year to study the practice.

The animated transitions through an illustrated line of organ recipients drive the point home. Sometimes recipients are passed up because of risk factors, and sometimes the reasons seem less than ideal.

The network of 76 probability distributions show how they are connected:

Solid lines represent special cases and transformations from one distribution to another.

Dashed arrows are used for asymptotic relationships, typically as the limit as one or more parameters approach the boundary of the parameter space.

Dotted arrows represent Bayesian relationships.

Well, I guess that clears things up.

Farming and environmental groups are suing the U.S. Department of Agriculture for removing publicly available climate data from the web:

All farmers in the U.S. are facing extreme and changing weather patterns. Climate information is critical to help them make the best choices and access resources to mitigate harm to their livelihoods. Many farmers are also moving to climate-smart practices because it’s good for business; studies show that people often prefer and will pay more for climate-smart foods. Denying farmers access to information on developing markets and federal funding hurts their profits.

“USDA’s irrational climate change purge doesn’t just hurt farmers, researchers, and advocates. It also violates federal law several times over,” said Jeffrey Stein, Earthjustice associate attorney. “USDA should be working to protect our food system from droughts, wildfires, and extreme weather, not denying the public access to critical resources.”

Here are tools you can use, data to play with, and resources to learn from that bubbled up in February.

Imagine everything on Wikipedia in an infinite museum of galleries. That’s what Maya Claire did, and you can walk through the museum via your desktop computer or in virtual reality.
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Generative AI is readily accessible these days, which has led to an influx of nice-looking, but impractical beauty inspiration for many. For the Washington Post, Tatum Hunter on what that influx looks like for the stylists tasked with the impossible:

Rita Contreras, a hairstylist in Brooklyn, said that in the past six months, the number of clients walking in with AI images has ballooned. While the fake photos often fool her clients, Contreras can spot an AI image a mile away, she said; the details are too flawless, the hair too glossy.

“I have to just say, ‘This is not a real person. This is not real hair,’” Contreras said. She spends time before each appointment talking clients through the differences between AI hair (immune to bad lighting and weather) and real hair (vulnerable to both).

This reminds me of when my dad, a civil engineer, would come home from work and comment how someone came in with unrealistic building sketches. The plans might look nice, but in reality, the supposed buildings would crumble in an earthquake, if they were able to stand at all.

To show a catalog of almost 100 million books in one view, phiresky mapped them based on International Standard Book Numbers, or ISBNs, with an interactive visualization.
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In some cities, a large percentage of the population has access to public transit, whereas in others, access is limited. Aniket Kali and Jeff Allen mapped rail transit on population density and then ranked cities based on the percentages:

Good public transit connects people to places. Ideally, this is done efficiently and sustainably, with transit routes and stations serving and connecting the most amount of people possible. But in reality, there’s a lot of variation within and between cities in how effectively this is done.

To look at this, we’ve created maps of major rail transit lines and stations (rapid transit, regional rail, LRT) overlaid onto population density for 250 of the most populated urban regions around the globe.

By the percentage of population within one kilometer of rail transit, Hong, Osaka, and Madrid ranked highest.

Welch Labs explains how the perceptron, an algorithm developed by Frank Rosenblatt in 1950s, is a foundation for current large language models that power chatbots like ChatGPT. You just have to link 100 million or so perceptrons in a single network.
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Some might have you believe that federal employees don’t put in the work. For the Washington Post’s Department of Data, Andrew Van Dam shows data that suggests otherwise.

In case you’re unfamiliar with the WP column, Van Dam (usually) attempts to answer a question each week using data. I like how he takes the reader through the exploratory process of trying to figure things out. Most of the time, you can’t answer data questions directly, because there isn’t a direct metric for say, worker efforts. So you analyze the data that is available, build related insights, and see if that gets you to where you need to go.

For Financial Times, John Burn-Murdoch shows the gap between men and women in political ideology with a set of difference charts (paywalled). It was typical for people in the same age cohort to follow similar politics, regardless of sex, because they lived similar experiences. But a split appears over the past decade with women leaning more liberal and men leaning more conservative.

I wonder if this internet thing had anything to do with the change.

German voters shifted away from the left in their general election this past Sunday. Christian Democrats (center right) won the most seats and Alternative for Germany (far right) came in second. The New York Times has maps and charts that show the change.

Here in the U.S., I couldn’t tell you exactly how elections run elsewhere, so I appreciated the details NYT provides alongside the results.

In 1766, Moses Harris published The Natural System of Colours to demonstrate that one could create the full spectrum of colors by combining three primitives: red, yellow, and blue. As a design exercise, Nicholas Rougeux recreated the color wheels using digital tools. The full color palette as hexadecimals is available at the end.

The Library of Congress has scans if you want to check out the original.

In case you’re wondering about government spending and budgets, USAFacts has a Sankey diagram that shows the money that came in during 2024 and how the revenue was distributed.

According to data from U.S. Treasury Department, $4.9 trillion came in mostly through taxes and $6.8 trillion went out. The difference, $1.8 trillion, contributes to the deficit. It will be interesting to see what this diagram looks like after this year is done (if the data exists).

I published an interactive guide on reading charts, spotting the misleading ones, and visualizing data honestly. Here’s the process I used to get there.