The Alarmist Beehive

This post is about bees since they are also victims of science abuse by environmental activists, aided and abetted by the media. The full story is told by Jon Entine at Slate Do Neonics Hurt Bees?  Researchers and the Media Say Yes. The Data Do Not.
A new, landmark study provides plenty of useful information. If only we could interpret it accurately. Synopsis below.

Futuristic Nightmare Scenarios

“Neonicotinoid Pesticides Are Slowly Killing Bees.”

No, there is no consensus evidence that neonics are “slowly killing bees.” No, this study did not add to the evidence that neonics are driving bee health problems. And yet . . .

Unfortunately, and predictably, the overheated mainstream news headlines also generated a slew of even more exaggerated stories on activist and quack websites where undermining agricultural chemicals is a top priority (e.g., Greenpeace, End Times Headlines, and Friends of the Earth). The takeaway: The “beepocalypse” is accelerating. A few news outlets, such as Reuters (“Field Studies Fuel Dispute Over Whether Banned Pesticides Harm Bees”) and the Washington Post (“Controversial Pesticides May Threaten Queen Bees. Alternatives Could Be Worse.”), got the contradictory findings of the study and the headline right.

But based on the study’s data, the headline could just as easily have read: “Landmark Study Shows Neonic Pesticides Improve Bee Health”—and it would have been equally correct. So how did so many people get this so wrong?

Bouncing off a database can turn your perspective upside down.

Using Data as a Trampoline rather than Mining for Understanding

This much-anticipated two year, $3.6 million study is particularly interesting because it was primarily funded by two major producers of neonicotinoids, Bayer Crop Science and Syngenta. They had no involvement with the analysis of the data. The three-country study was led by the Centre for Ecology and Hydrology, or CEH, in the U.K.—a group known for its skepticism of pesticides in general and neonics in particular.

The raw data—more than 1,000 pages of it (only a tiny fraction is reproduced in the study)—are solid. It’s a reservoir of important information for entomologists and ecologists trying to figure out the challenges facing bees. It’s particularly important because to date, the problem with much of the research on neonicotinoids has been the wide gulf between the findings from laboratory-based studies and field studies.

Some, but not all, results from lab research have claimed neonics cause health problems in honeybees and wild bees, endangering the world food supply. This has been widely and often breathlessly echoed in the popular media—remember the execrably reported Time cover story on “A World Without Bees.” But the doses and time of exposure have varied dramatically from lab study to lab study, so many entomologists remain skeptical of these sweeping conclusions. Field studies have consistently shown a different result—in the field, neonics seem to pose little or no harm. The overwhelming threat to bee health, entomologists now agree, is a combination of factors led by the deadly Varroa destructor mite, the miticides used to control them, and bee practices. Relative to these factors, neonics are seen as relatively inconsequential.

The Bees are all right. Carry on.

Disparity between Field and Lab Research (sound familiar?)

Jon Entine addressed this disparity between field and lab research in a series of articles at the Genetic Literacy Project, and specifically summarized two dozen key field studies, many of which were independently funded and executed. This study was designed in part to bridge that gulf. And the devil is in the interpretation.

Overall, the data collected from 33 different fields covered 42 analyses and 258 endpoints—a staggering number. The paper only presented a sliver of that data—a selective glimpse of what the research, in its entirety showed.

What patterns emerged when examining the entire data set? . . . In sum, of 258 endpoints, 238—92 percent—showed no effects. (Four endpoints didn’t yield data.) Only 16 showed effects. Negative effects showed up 9 times—3.5 percent of all outcomes; 7 showed a benefit from using neonics—2.7 percent.

As one scientist pointed out, in statistics there is a widely accepted standard that random results are generated about 5 percent of the time—which means by chance alone we would expect 13 results meaninglessly showing up positive or negative.

Norman Carreck, science director of the International Bee Research Association, who was not part of either study, noted, the small number of significant effects “makes it difficult to draw any reliable conclusions.”

Moreover, Bees Are Not in Decline

The broader context of the bee health controversy is also important to understand; bees are not in sharp decline—not in North America nor in Europe, where neonics are under a temporary ban that shows signs of becoming permanent, nor worldwide. Earlier this week, Canada reported that its honeybee colonies grew 10 percent year over year and now stand at about 800,000. That’s a new record, and the growth tracks the increased use of neonics, which are critical to canola crops in Western Canada, where 80 percent of the nation’s honey originates.

Managed beehives in the U.S. had been in steady decline since the 1940s, as farm land disappeared to urbanization, but began stabilizing in the mid-1990s, coinciding with the introduction of neonicotinoids. They hit a 22-year high in the last count.

Global hive numbers have steadily increased since the 1960s except for two brief periods—the emergence of the Varroa mite in the late 1980s and the brief outbreak of colony collapse disorder, mostly in the U.S., in the mid-2000s.

Conclusion

So the bees, contrary to widespread popular belief, are actually doing all right in terms of numbers, although the Varroa mite remains a dangerous challenge. But still, a cadre of scientists well known for their vocal opposition to and lobbying against neonics have already begun trying to leverage the misinterpretation of the data. Within hours of the release of the study, advocacy groups opposed to intensive agricultural techniques had already begun weaponizing the misreported headlines.

But viewing the data from the European study in context makes it even more obvious that sweeping statements about the continuing beepocalypse and the deadly dangers to bees from pesticides, and neonicotinoids in particular, are irresponsible. That’s on both the scientists, and the media.

Summary

The comparison with climate alarmism is obvious. The data is equivocal and subject to interpretation. Lab studies can not be replicated in the real world. Activists make mountains out of molehills. Reasonable balanced analysts are ignored or silenced. Media outlets proclaim the end of life as we know it to capture ears and eyeballs for advertisers, and to build their audiences (CNN: All the fear all the time”). Business as usual for Crisis Inc.

 

 

 

June Arctic Ice Report

The extent of Arctic ice fell to a new wintertime low in March 2017. But springtime ice persisted and in June is hanging around the decadal average.

The first half of June this year’s extent was above the decadal average despite early melting in Bering and Okhotsk Seas,  Those two Pacific basins are now ice-free, typical for end of June.  Presently 2017 is tied with 2016 and 2007 about 200k km2 below average.  The recent drop was largely due to Hudson Bay going to open water in just ten days (images at Ten Days in Hudson Bay).

For the month, average extent in 2017 was 11M km2 compared to the the decadal average of 10.9M km2, ranking this year fifth since 2006.  SII 2017 average for June was 10.7M km2 and is presently showing 200k km2 less ice than MASIE does with its higher resolution.  During June more than 2M km2 ice extent was lost and presently stands at 65% of the March maximum.

The Table compares 2017 day 181 ice extents with the decadal average and 2007.

Region 2017181 Day 181
Average
2017-Ave. 2007181 2017-2007
 (0) Northern_Hemisphere 9620537 9846173 -225636 9672969 -52433
 (1) Beaufort_Sea 855383 920779 -65397 939209 -83826
 (2) Chukchi_Sea 614011 743161 -129151 670088 -56077
 (3) East_Siberian_Sea 926510 1029639 -103129 901963 24547
 (4) Laptev_Sea 788796 734392 54403 658742 130053
 (5) Kara_Sea 585573 563477 22096 657478 -71904
 (6) Barents_Sea 177110 112663 64447 130101 47010
 (7) Greenland_Sea 575056 518393 56663 548399 26657
 (8) Baffin_Bay_Gulf_of_St._Lawrence 489797 497536 -7739 450461 39336
 (9) Canadian_Archipelago 775934 777916 -1982 773611 2323
 (10) Hudson_Bay 585228 705394 -120166 718441 -133212
 (11) Central_Arctic 3245272 3210630 34642 3218999 26273
 (12) Bering_Sea 0 11808 -11808 981 -981
 (13) Baltic_Sea 0 6 -6 0 0
 (14) Sea_of_Okhotsk 695 18917 -18222 2983 -2288

The pattern continues with seas on the Pacific side showing deficits to average, while Atlantic Arctic seas show surpluses.  Bering and Okhotsk averages are still 30k km2 higher but will soon disappear.  The noticeable deficits are in BCE (Beaufort, Chukchi and East Siberian) and in Hudson Bay.

Barents Sea demonstrates the surplus of 2017 sea ice extents inside the Arctic Circle.  The graph below shows Barents this year continues to be above average matching the record year of 2014.

The black line is average for the last 11 years.  2007 in purple appears close to an average year.  2014 had the highest annual extent in Barents Sea, due to higher and later maximums, holding onto ice during the summer, and recovering quickly.  In contrast, 2016 was the lowest annual extent, melting out early and recovering later.  2017 in blue started out way behind, but grew rapidly to reach average, and then persisted longer to exceed even 2014.  It may yet beat out 2014 as the highest in the last 11 years.

For more on why Barents Sea matters see Barents Icicles

 

Climate Scare in US South

A recent study published in Science predicts there will be no comfort for US southerners in the future.  As reported in the Atlantic

The American South Will Bear the Worst of Climate Change’s Costs
Global warming will intensify regional inequality in the United States, according to a revolutionary new economic assessment of the phenomenon.

The study, published Thursday in Science, simulates the costs of global warming in excruciating detail, modeling every day of weather in every U.S. county during the 21st century. It finds enormous disparities in how rising temperatures will affect American communities: Texas, Florida, and the Deep South will bleed income in the broiling heat, while some chillier northern states gain moderate benefits.

“We are really sure the South is going to get hammered,” says Solomon Hsiang, one of the authors of the paper and a professor of public policy at the University of California, Berkeley. “The South is really, really negatively affected by climate change, much more so than the North. That wasn’t something we were expecting going in.”

First of all, this comes from model projections, not from observed temperatures and precipitation.

The graph shows daily maximums, averaged annually for the southern region as defined by the National Weather Service (NWS). The rise since 1895 is less than 1F, not even noticeable. You can also clearly see a quasi-60 year cycle, and that we are coming off the warmer phase with a cooler phase likely ahead.

Precipitation over the same period of 120 years shows a slight rise, nothing dramatic, and also oscillating with scattered peaks and valleys.

Secondly, all forecasting was done using the worst-case scenario

Out of five scenarios in IPCC report RCP8.5 is the most extreme. Neither AR5 nor the paper describing RCP8.5 call it a “business as usual” scenario, because it is not. Such a scenario would assume continuation of existing trends through 2100. A worst-case scenario assumes trends change for the worse. RCP8.5 assumes population growth at the 90th percentile of the probability forecast for 2100 (i.e., not considering real-world factors) and near-stagnation of technological progress.

Thirdly the models show no skill at all at regional forecasting, never mind their deficiencies at the global scale.

Roger Pielke Sr. repeatedly points to the elephant in the room about these papers — the ignored assumption that climate models’ predictions about global climate (when fed accurate predictions about emissions) are a sufficiently skillful basis for public policy — and that downscaling these models produces regional forecasts also useful for making public policy. There is little evidence of either. See here for a discussion of the literature about model validation (see the end section here for links to the literature). He says there is even less evidence for their skill at regional levels. He reviewed the literature validating regional downsizing five years ago, and relatively little progress has been made since then.
From Larry Kummer, US Economic Damage from Climate Change

Finally, and perhaps most importantly, Adaptation by humans is not allowed.

The projections presume that humans will not adapt in response to changing conditions, even though we have always done so, and presently have unprecedented capacities.

Matthew Kahn explains this clearly in Climate Change Adaptation Economics

An econometric research team follows the following recipe. First, it takes historical data and estimates how weather conditions correlate with economic conditions. For example, when it is extremely hot in a county — do we observe based on past data that the county’s per-capita income is lower than usual. The research team takes these past correlations and takes a climate change model (that tells you a guess of what will be future climate conditions by county) to predict future economic outcomes under the assumption that the historical correlation between weather and economic outcomes persists into the future.

This bold writing violates the Lucas Critique. Robert Lucas is one of the University of Chicago’s greatest economists. I was not one of his greatest students but I learned from him that as the “Rules of the Game” change that forward looking decision makers re-optimize. He studied this issue in the context of government counter-cyclical macro policy (i.e tax cuts during recessions) but the same point applies in the case of climate change. (my bold)

Let me explain;

Suppose it has always been 90 degrees in Phoenix in April but moving forward it will now be 105 degrees on average in Phoenix in April because of climate change. This is what I mean by a change in the Rules of the Game. The key stochastic process’ core parameters have changed. The climate scientists estimate such relationship using geocoded time series data. They spread their findings (through the New York Times and through wild bloggers such as Joe Romm).

Investors (those who invest in durable buildings, businesses, families) who live and work in a specific area such as Phoenix have strong incentives to take pro-active actions to reduce their exposure to hotter Aprils. They have thousands of adaptation strategies (and richer people have even more). One of the points I argue in Climatopolis is that induced innovation will take place because of Paul Revere style forecasts of hotter summers. Demand creates supply! I haven’t even mentioned government at the local, state or federal level. While many adaptation strategies are private goods (think of air conditioners), there are also public goods (sea walls, air cooling centers). If government changes its investments because of the new “Rules of the Game”, then the poor’s well being can improve in the face of a changing climate even if they can’t afford any of the private adaptation strategies. We are not passive victims here. The greatness of capitalism is that the set of alternatives we have to choose from keeps growing due to innovation and product differentiation. Each of these private and public goods helps us to individually and collective adapt.

As these changes takes place, the historical correlations between climate and economic losses are attenuated. This is why I don’t have much confidence in the predictions reported in the new Science Paper.

Summary

Alarmist blinders could not be more obvious. Their only solution is spending many trillions of dollars attempting to prevent future warming and climate change by reducing CO2 emissions (so-called “Mitigation”). The much more rational and time-honored policy of Adaptation would mean watching for changes and challenges to actually appear then mobilizing resources in response. But that would mean waiting because nothing is yet happening outside the normal range of temperatures and precipitation.   Unacceptable to true believers.

See also Climate Gloom and Doom