Perceiving the curve
Presentation matters when it comes to representing the scope of coronavirus cases. A study published by the London School of Economics shows one type of graphic representation could be creating confusion.
A research team made up of academics from the LSE and Yale University found that logarithmic graphs used to show the curve of COVID-19 infections can confuse the public. The researchers found evidence this may lead some to downplay the severity of the disease.
The team took two groups of participants and presented one with a standard linear graph (where the distance between points on the vertical axis is constant), and the other with a logarithmic graph (where the difference increases exponentially).
Both groups were asked questions to test their comprehension of their respective graphs. For example, they were asked whether there was a greater increase in COVID-19 deaths in the first week of April versus the second.
The researchers found the linear graph group had a better understanding of what the graph was actually saying, answering 84% of their comprehension questions correctly versus 41% for the logarithmic scale group. That gap was even wider when the participants were presented with data from a hypothetical infection (92% vs. 10%).
The graphs also influenced the groups’ policy preferences. The linear group showed greater concern for the virus’s impacts, and supported keeping businesses closed longer.
Proponents of using the logarithmic scale argue it provides a more accurate representation of the exponential growth of COVID-19’s spread, but the Yale and LSE researchers say their findings show it is impeding the public’s understanding of the severity of COVID-19.
We’ve previously shared COVID-19 resources such as Johns Hopkins University’s site, but there are more institutions using creative methods to promote a better understanding of the impact of COVID-19:
The brainchild of Wade Fagen-Ulmschneider, a University of Illinois associate professor of computer science, this resource enables users to switch between logarithmic and linear scales to understand both the overall growth of the virus and its human impact. It allows users to toggle among total numbers of deaths, infections and recoveries as well as each category’s seven-day averages.
This resource is a collaboration among data scientists, epidemiologists and public health policy experts. It gives users a traffic-light response when they click on their U.S. states to show which are ready to open based on three criteria: 1) infection rate 2) testing rate 3) and hospital capacity.
Information Is Beautiful
This resource relies on a logarithmic graph for case and death totals, but it is also useful for reviewing other aspects of the disease. One infographic compares the incubation period to other diseases, and another compares the infection and lethality rate of COVID-19 to other diseases. A third compares the effectiveness of different face-mask materials for protecting against COVID-19.
– Harrison Mantas, IFCN
. . . technology
- That “Plandemic” video we wrote about last week keeps popping up even after platforms committed to taking it down. “Borrowing techniques used by other illicit industries, including porn, many of the remaining posts about ‘Plandemic’ on YouTube and Facebook have the most inflammatory content edited out to avoid detection,” wrote The Washington Post’s Elizabeth Dwoskin.
- Twitter this week said that its policy of taking down false information about COVID-19 does not extend to an article from a fringe doctors’ group that claims — without evidence — that the antimalarial drug hydroxychloroquine has a “90 percent chance of helping” COVID-19 patients, The Verge reported.
- President Donald Trump’s campaign manager tweeted the article after the president revealed he was taking the drug.
- In his Popular Information newsletter, Judd Legum has a rundown of the physicians group’s prior claims.
. . . politics
- The Atlantic magazine dedicated its June cover to the conspiracy theory-driven group QAnon, part of a larger project called Shadowland about conspiracy thinking in America.
- “In the face of inconvenient facts, it has the ambiguity and adaptability to sustain a movement of this kind over time,” wrote executive editor Adrienne LaFrance. “For QAnon, every contradiction can be explained away; no form of argument can prevail against it.”
by Harrison Mantas and Susan Benkelman, Poynter