Analysis of media coverage for the 227
treatments we cover using Altmetric
1 and PlumX
2 shows strong bias towards
favorable results for high-profit treatments, and negative results for low-cost
treatments.
Analysis of media coverage for the 227 treatments we
cover using Altmetric
1 and PlumX
Metrics
2. Altmetric covers ~14,000
news outlets
3 and PlumX covers
~55,000 news sources
4.
The two services are complementary with coverage of different news sources and different
methods for identifying articles not containing a DOI. We consider studies to have
received significant media coverage if they were covered by at least 100 articles in
either Altmetric of PlumX
4,5. The most widespread study was covered
by 1,047 outlets. Studies covered by major
syndicated sources shows hundreds of news articles, while studies covered by few outlets
typically appear in niche medical news sources or press releases.
The media favored negative results for low-cost treatments, and positive results for
high-profit treatments.
Why were most positive low-cost treatment results not covered by the media?
A combination of factors may have led to the very low media coverage of low-cost treatments:
•Politicization
led to a media environment where coverage was often framed to support a political
narrative rather than to provide objective scientific information. As Scott Alexander
said:
"if you say anything in favor of ivermectin you will be cast out
of civilization and thrown into the circle of social hell reserved for Klan members and
1/6 insurrectionists. All the health officials in the world will shout 'horse dewormer!'
at you and compare you to Josef Mengele."
There was strong social pressure to
discredit low-cost treatments.
•Censorship
of
information conflicting with selected authorities. For example, individuals and
organizations presenting conflicting science were often shadowbanned or completely banned
on Twitter and YouTube if the science they were reporting conflicted with the opinions of
specific authorities selected by those companies, including when the authorities had
not even reviewed the scientific results in question.
•FDA requires "no
adequate, approved, and available alternatives"
in order to grant an EUA for
novel high-profit interventions, creating an incentive for authorities to ignore or
downplay existing low-cost treatments.
•Regulatory
capture
biases authorities towards high-profit interventions.
•Authorities ignored
most evidence for low-cost treatments
, for example the NIH references only 2% of
studies in delayed, rarely-updated, biased commentaries with no quantitive analysis.
•Media coverage of
science is often not very accurate
, e.g., misunderstanding confounding issues. For
example the media widely considered the RECOVERY HCQ RCT to be conclusive on efficacy, but
very late treatment of late-stage patients (mostly on oxygen already) with an excessive
toxic dose (shown dangerous in a dose comparison RCT) provides no information on the
recommended early/prophylactic treatment. With difficulting in understanding basic
confounders like treatment delay and dose, the media may favor deferring to authorities.
Many studies for low-cost treatments require greater expertise to analyze.
•Substantial funding
from pharmaceutical advertising
biases editorial decisions towards high-profit
interventions.
•PR power
-
companies/teams with strong PR presence are favored in the media, which correlates with
high-profit and high conflict of interest studies.
•The media was very
negative in general
, inflating risk, and elevating fear and anxiety. A negative bias may
improve ratings and revenue, increasing motivation to continue watching coverage.