Mann’s DC Trick

However, the judge then prevented either of us from presenting evidence on Mann’s concealment of failed verification statistics or even on the verification failure of Mann’s statistical model. The judge didn’t even allow the presentation of a table published in Geophysical Research Letters. In mid-trial, the judge also reduced the time available for the defense by about 40% from the original allocation; the time available for McKitrick and myself was almost chewed up by defense objections.

The Statistics of Mann’s Grant Damages

From Stephen McIntyre’s Substack, Russiagate and Other Analysis


Stephen McIntyre

A year ago, I was a witness in the Mann v Steyn-Simberg libel trial. It was an extremely frustrating experience. Mann’s lawyers tried to block McKitrick and I from giving evidence against Mann. The judge ruled against them, saying that our evidence was relevant to the defense. However, the judge then prevented either of us from presenting evidence on Mann’s concealment of failed verification statistics or even on the verification failure of Mann’s statistical model. The judge didn’t even allow the presentation of a table published in Geophysical Research Letters. In mid-trial, the judge also reduced the time available for the defense by about 40% from the original allocation; the time available for McKitrick and myself was almost chewed up by defense objections.

Because Steyn was so weak, nearly all of the defense was taken up by Simberg’s lawyers. They were highly professional, but their strategy was focused almost entirely on the lack of damages to Mann, and, in particular, to Mann’s claims about lost grants. In my opinion, the issues about, for example, Mann’s concealment of adverse verification statistics were issues that ought to have been raised in cross-examination of Mann (rather than late in the day in direct examination of McKitrick or me), but none of this took place. Instead, the cross-examination went on and on about Mann’s grants – an issue which seemed far less important to me than putting Mann on the spot about his concealment of adverse verification statistics,

However, the defense focus on Mann’s grants was vindicated by the scathing comments of the judge in his recent sanctions order against Mann and his lawyers (link; link), including the following:

“Dr. Mann’s assertion that there was no falsehood or misrepresentation in his testimony or his counsel’s conduct borders on frivolity.”

“the record plainly shows the deliberate and knowing misconduct of Dr. Mann’s counsel in eliciting false testimony from Dr. Mann and misrepresenting his grant funding.”

“Dr. Mann’s counsel’s bad faith misconduct is an affront to the Court’s authority and an attack on the integrity of the proceedings warranting sanctions.”

The judge focused on two components of Mann’s testimony on supposedly lost grants following the blog articles: overstatement of non-funded grants; and under-statement of funded grants.

But neither the judge nor the defense lawyers had deep background in Mann’s “statistical” techniques and, as a result, the judge’s disparagement of the conduct of Mann and his lawyers, scathing as it was, merely scratched the surface. For today’s article, I’ve done a fresh analysis of Mann’s presentation and shown that there was much more to “Mann’s DC Trick” than discussed in the sanctions order. (I’ll do a separate article elucidating the sanctions order, but, in this article, will focus on issues that were overlooked in the trial and order.)

The centerpiece of Mann’s claim for lost damages was his assertion that his grant successes went from from “just under a million a year” in the four years ($3.3 million total) prior to the Simberg-Steyn blogs to “a little more than 100,000 a year” in the four years after ($500,000 total). They illustrated this claim with the “demonstrative” shown below right. This claim was asserted in the opening statement, in Mann’s direct evidence and the closing statement. An excerpt from Mann’s direct is below left. In the sanctions order, J Irving observed a significant exaggeration in the statements and demonstrative: according to Mann’s own data, the total value of grants after the blogs was $895,000, not $500,000; and reduced the before-and-after “disparity” from $2.8 million to $2.4 million. The judge was very troubled by this exaggeration.

But there were several other issues that go much deeper, issues that call into question the very existence of the mid-2012 breakpoint asserted by Mann and his lawyers and which strongly suggest that Mann’s grant claims were the product of data manipulation – the exact subject of the underlying science controversy.

It’s nearly always a good idea in statistical analysis to begin by plotting the data.

In the figure below, I’ve plotted Mann’s annual grants from 1996 to 2021 by US fiscal year ending September 301 using information in Mann’s CV circa 2022 and his amended interrogatory responses (March 2023). In the figure below, the 2008-2016 period selected into Mann’s demonstrative is highlighted in yellow background. The step function in the highlighted area illustrates Mann’s evidence: $1 million per year in the four years prior and $100,000 in the four years subsequent. As a reality check: does this step function fit the data? Obviously not. It’s not even close.

Some comments:

  • there is NO – repeat NO – evidence of a July 2012 breakpoint in the data. Any such claim is completely false. This is immediately visible in the above figure.
  • the claimed amount of Mann’s grants in 2009 was uniquely high. It was more than 10 times greater than the median value of Mann’s annual grants. Without 2009, the values for the three fiscal years prior (2010-2012) had no statistically significant difference to values for the three fiscal years subsequent (2013-2016). This is immediately visible in the above figure.
  • Because the 2009 value is so anomalously high, the timing of the step in Mann’s step function depends on the arbitrary length selected for the step. If a comparison period of two years is chosen beginning in 2008.5, the step will be 2010.5; for three years, the step will be 2011.5; for four years, the step will be 2012.5; for five years, the step will be 2013.5. One can reasonably surmise that Mann’s choice of four years prior as the comparison period was selected in order to place the “step” at the target date of 2012.5,
  • as an overall point on grants as a statistical distribution, grants were zero approximately 40% of the time over the 26 years, and between $100K and $500K about 54% of the time, with two outliers (2006, 2009)2. The distribution has peculiar “tail” behavior: almost 50% of Mann’s total grants over 26 years were obtained in these two outlier years.

The 2009 Outlier

Because the 2009 grant claim is such an extreme outlier compared to the other grants and because Mann’s “loss” claim is so dependent on this outlier, the outlier needs to be specifically examined3. There are three large issues.

ARRA

Mann’s 2009 grant claim consisted of two grants funded under the 2009 Obama “stimulus” bill – the so-called American Recovery and Reinvestment Act (ARRA): one grant ($541,000) in which he was the Principal Investigator, and one much larger grant related to vector-borne disease ($1,885,000) in which he is listed as a Co-PI. The figure re-states the 1996-2021 grant figure by adding color coding by sponsor type, ARRA grants in red and magenta. The other anomalously large grant was a USAID grant in 2006 in which Mann was a Co-PI.

The American Recovery and Reinvestment Act (ARRA) was passed on February 17, 2009, in the first month of the Obama presidency, and had a total budget of $831 billion – about the same, allowing for inflation, as the $893 billion budget of Biden’s so-called Inflation Reduction Act in 2022. Approximately $3.1 billion of ARRA funding was allocated to the National Science Foundation (NSF).

In an interesting recent Jon Stewart podcast (link at 44 minutes), Ezra Klein noted the total failure of the ARRA program to deliver anything on its signature promises: high-speed rail, “smart” grid or interoperable electronic health care records, although, in fairness, others have pointed out (link) that it did succeed in building thousands of “ADA corner crosswalk things that didn’t actually connect to anything”. It also funded research by Michael Mann (link) that may or may not “actually connect to anything”. In retrospect (and probably in real time), one would have thought that the purpose of the stimulus would have been better served elsewhere than academic researchers4.

In any event, by 2012, ARRA funding had almost entirely run its course. The implication of Mann’s claim to a “$2.8 million” shortfall is that Mann was entitled to a second helping of the ARRA bonanza during the second Obama term, even though the program had expired – a notion so unpalatable that neither Mann nor his lawyers expressed it in those terms.

In Steyn’s cross-examination of Mann, Steyn repeatedly asked Mann whether there were other factors besides the Simberg-Steyn blog articles which could have contributed to reduced grant funding. Obviously the expiry of the ARRA program removed the very source of funding which had funded Mann’s outlier 2009 grants. But Mann, needless to say, didn’t mention ARRA.

Contract or Subcontract?

The 2009 claim related to the vector-borne disease disease ($1,884,991) was much larger than other grants in Mann’s CV (most of which appear to have funded a couple of grad students). Mann’s claim in the interrogatories was equal to the full amount of the grant as reported in the NSF summary report (see link). The NSF summary report listed 29 articles attributable to this grant, but only one lists Mann as a coauthor. This strongly suggests that Mann was a subcontractor to this project.

In other interrogatory cases where Mann was a subcontractor, Mann’s amended interrogatory only claimed the amount of the subcontract, which, in an important example cited in J Irving’s sanctions order, was a tiny fraction of the total contract.

In Mann’s June 2020 interrogatory responses, he had claimed an amount of $9,713,924 in non-funded grants in relation to a grant application entitled “WAter VariabilitiEs Stressors and Sensitivities (WAVESS)”, dated 9/1/2014. (He had listed this amount in his CV at the time.) In his amended March 2023 response, Mann reduced the claim to $112,000! The lesser amount was the amount attributable to his Penn State group; the larger amount was the amount attributable to the entire project.

This became an issue in the trial because Mann’s team presented the incorrect June 2020 information to the jury in an exhibit. When the defense objected to the exhibit, Mann’s team falsely reassured the judge that there were no significant differences between the exhibit and the final numbers. In the sanctions order, J Irving excoriated Mann and his team both for presenting the false number to the jury and for falsely reassuring the judge about the validity of the numbers.

The purpose of this example is to show the difference between the value of the full contract and the value attributable to a subcontractor. The question then is whether Mann’s calculation should have shown the full value of the grant (most of which went to a different department) or the amount attributable to Mann’s putative subcontract. If the latter, then the appropriate amount is likely more like $125,000-150,000, as opposed to $1,885,000.

Mann similarly appears to have been a subcontractor on the 2006 USAID grant that comprised the majority of the 2006 outlier. It was listed in his CV at its total face value, rather than the value of Mann’s subcontract.

Climategate, November 2009

The third factor against inclusion of 2009 as a comparandum is, of course, that the Climategate emails were released in November 2009, about 6 months after the extravagant 2009 ARRA “stimulus” grants.

On January 20, 2010, during the midst of Climategate controversy. Mann’s receipt of 2009 “stimulus” funds became the subject of a Wall Street Journal opinion editorial (archive; link) entitled “Michael Mann’s Climate Stimulus: A case study in one job ‘saved’”.

The editorial observed that they had contacted NSF about the awards to Mann, but were told by a representative that she was “unaware of any discussion regarding suspending or changing the awards made to Michael Mann.” The op ed concluded with the observation that “your tax dollars will continue to fund a climate scientist whose main contribution to the field has been to discredit climate science”.

The NSF made these awards prior to last year’s climate email scandal, but a member of its Office of Legislative and Public Affairs told us she was “unaware of any discussion regarding suspending or changing the awards made to Michael Mann.” So your tax dollars will continue to fund a climate scientist whose main contribution to the field has been to discredit climate science.

Mann didn’t mention this editorial as a contributing factor nor did the defense ask him about it.

Conclusion

J Irving was scathing at Mann’s understatement of funded grants after the Simberg-Steyn blogs which reduced the supposed “disparity” from $2.8 million to $2.4 million. But when the 2009 outlier is excluded (for any one of the three reasons cited above), the so-called disparity between 2010-2012 and 2013-2016 grants is eliminated, as shown below. (In the figure below, estimated value of 2006 and 2009 subcontracts are shown, but these are outside the highlighted period anyway.) Readers who are familiar with Mann’s “scientific” work will be unsurprised at Mann’s “research” into his grants.

1. In the interrogatories, Mann collated the grants according to calendar year of the start date of the grant. In his evidence, he observed that the decision date for a grant with start date of September 1, 2012 was prior to July 31. The date of the blogs was July 31, 2012. For practical purposes, classification by the Sept 30 fiscal year of the start dates will closely approximate classification by the July 31 fiscal year of decision dates. In the CV, grants are shown by calendar year of start dates; for the purposes of this graph, the fiscal year and calendar year totals are the same. Any discrepancies will not change the conclusions,

2. Here is a histogram

3. The only other year in which Mann’s grants exceeded $500,000 was in 2006, during which Mann was a subcontractor to a USAID grant entitled “Climate Change Collective Learning and Observatory Network in Ghana”. See link for a profile of this program.

4. Scientific American (link) asked this exact question on February 17, 2010: Is the Recovery Act Stimulating Science and the Economy? They observed that most of the money was sitting in university bank accounts and had failed to provide the quick economic stimulus which had been the ostensible purpose of the legislation.

Twelve Reasons Why I Don’t Believe There’s a Climate Emergency

I like sunshine. I prefer being warm to being cold. It makes me feel better. It’s more fun. It saves on heating bills. It saves on clothes. It makes people happier.

From The Daily Sceptic

BY RUSSELL DAVID

I’m not a scientist. But I have reasons why I don’t fully trust the ‘climate emergency’ narrative. Here they are:

  1. Looking back through history, there have always been doomsday prophets, folk who say the world is coming to an end. Are modern-day activists not just the current version of this?
  2. I look at some of the facts – CO2 is 0.04% of the atmosphere; humans are responsible for just 3% of CO2; Britain is responsible for just 1% of the world’s CO2 output – and I think “really“? Will us de-carbonising really make a difference to the Earth’s climate?
  3. I have listened to some top scientists who say CO2 does not drive global warming; that CO2 in the atmosphere is a good or vital thing; that many other things, like the Sun and the clouds and the oceans, are more responsible for the Earth’s temperature.
  4. I note that most of the loudest climate activists are socialists and on the Left. Are they not just using this movement to push their dreams of a deindustrialised socialist utopia? And I also note the crossover between green activists and BLM ones, gender ones, pro-Hamas ones, none of whom I like or agree with.
  5. As an amateur psychologist, I know that humans are susceptible to manias. I also know that humans tend to focus on tiny slivers of time and on tiny slivers of geographical place when forming ideas and opinions. We are also extremely malleable and easily fooled, as was demonstrated in 2020 and 2021.
  6. I have looked into the implications of Net Zero. It is incredibly expensive. It will vastly reduce living standards and hinder economic growth. I don’t think that’s a good thing. I know that economic growth has led to higher living standards, which has made people both safer and more environmentally aware.
  7. Net Zero will also lead to significant diminishment of personal freedom, and it even threatens democracy, as people are told they must do certain things and they must not do other things, and they may even be restricted in speaking out on climate matters.
  8. What will be the worst things that will happen if the doomsayers are correct? A rise in temperature? Where? Siberia? Singapore? Stockholm? What is the ideal temperature? For how long? Will this utopia be forever maintained? I’m suspicious of utopias; the communists sought utopias.
  9. If one consequence of climate change is rising sea levels, would it not be better to spend money building more sea defences to protect our land? Like the Dutch did.
  10. It’s a narrative heavily pushed by the Guardian. I dislike the Guardian. I believe it’s been wrong on most issues through my life – socialism, immigration, race, the EU, gender, lockdowns and so on. Probably it’s wrong about climate issues too?
  11. I am suspicious of the amount of money that green activists and subsidised green industries make. And 40 years ago the greenies were saying the Earth was going to get too cold. Much of what they said would happen by now has not happened. Also, I trust ‘experts’ much less now, after they lied about the efficacy of lockdowns, masks and the ‘vaccines’.
  12. I like sunshine. I prefer being warm to being cold. It makes me feel better. It’s more fun. It saves on heating bills. It saves on clothes. It makes people happier. Far few people die of the heat than they do the cold.

Russell David writes the Mad World blog.

No Significant Warming in One of the Most Climate-Sensitive Parts of the Planet, Ice Core Data Show

There has been no significant warming in one of the most climate-sensitive parts of the planet, analysis of Greenland ice core data shows, casting further doubt on the alarmist climate narrative.

From The Daily Sceptic

BY STEPHEN ANDREWS

There has been no significant warming in one of the most climate-sensitive parts of the planet, analysis of Greenland ice core data shows, casting further doubt on the alarmist climate narrative.

We are all familiar with the climate change scare narrative. Red coloured maps of the globe, polar bears stranded on ever diminishing ice floes, extreme weather events etc. When you read a climate change related article or scientific paper it nearly always opens with a statement underlining the severity of the situation facing mankind. What is usually lacking is perspective.

I am not interested in ‘expert’ opinion unless it is supported by empirical data and perspective. Selected sources must be reliable and have ample past data to encompass solar cycle variation. Ideally these data need to come from a region of the planet that is sensitive to global warming. What data from the world of paleoclimatology fit that criteria?

When snow falls, it contains a mix of oxygen isotopes. During warm periods, more heavy oxygen isotopes are found in the snow, while cold periods have more light oxygen isotopes. By analysing these ratios in ice cores, scientists can learn about past temperatures and climate conditions. The ice is laid down in annual layers which can be dated accurately. Consequently, we can construct an accurate temperature record where sufficient ice accumulation exists, such as in polar regions.

If anthropogenic climate change is a real threat, due primarily to the burning of fossil fuels, then we are expecting to see a clear rise in temperature above and beyond the normal variation. This was attempted and published by Michael Mann et al. and is widely known as the hockey stick graph. The main problem with this graph is that it was constructed using 12 sets of proxy measurements which included three sets of ice core data. The ice core data went back only 500 years and the remaining extrapolation relied on tree ring data. There was considerable uncertainty of measurement which was highlighted in his original paper (Figure 1), and a period of 1,000 years provides us with limited perspective in relation to the impact of solar cycles.

Note the light grey area is an estimate of the uncertainty of measurement and extrapolation.

There seems to be a dearth of records that provide temperature proxies for recent times that are relevant to the sudden rise in carbon dioxide levels (1860 to current). However, I did locate data from two overlapping periods from Renland peninsula in Eastern Greenland. The two studies that reported the results from these ice core measurements had quite different themes. The first, which covered the period from 1960 to 10,000 BC, commented on the high temperatures in the Holocene period and the impact on the ice sheet. The second covering 1801 to 2014 examined local site variability. The creation of these datasets was a gargantuan effort. It remains a mystery why these papers did not comment on the temperature trends or indeed try and link the two datasets. Below is a graph combining these two isotope ratio data sets (Figure 2). The black line (far right) is the key as it is a 20 year rolling average of the more recent dataset (brown dots). The first dataset (blue dots) has data points every 20 years, so this rolling average enables a more valid comparison.

These data tell us we’re in one of the coldest spells in the approximately last 9,000 years. Was the only way up? Virtually all global records indicate a steady warming in recent times. I have added green lines to help visualise the ‘normal’ variation in the last 9,000 years. Clearly recent warming is within this normal variation.

I have added another graph (Figure 3) with linear trend lines to each of the datasets to demonstrate how important perspective is in assessing climate change. If we take the trend from 1801 to 2014 (purple dashed) and compare it with that from the last 10,000 years (green line) it seems alarming. But from the longer trend the reader can see that variation in both sets of data is quite normal.

There is also a serious lack of agreement between the Mann hockey stick graph (Figure 1) and these data. It should be borne in mind when making this comparison that the Mann graph attempted to reconstruct temperatures in the Northern Hemisphere whereas the data I have cited here are from a specific area of Eastern Greenland.

The next graph (Figure 4), focusing on the overlap period (1800 to 2014), provides the degree of validity of aligning these two datasets. There appears to be excellent correlation when comparing the black and red lines, implying the data are good proxies for temperature.

In summary, these data indicate there is no significant global warming signal coming from one of the most sensitive parts of the planet. Any warming may be latent, but this seems to be a bit of a stretch.

This absence of a signal could be explained by the fact that the relationship of carbon dioxide to global temperature is logarithmic and above a certain concentration there is minimal direct impact relative to solar cycles.

There are many climate scientists who have devoted their lives to saving mankind but unless these data are invalid, they need to return from the chill winds of the polar regions. Is it game over for the climate change scare narrative?

First published on Stephen’s Substack page. Subscribe here.

Nord Stream Sabotage: More Evidence Points to Ukraine

In just the last few weeks, more evidence has come to light suggesting that Ukraine – and not Russia or the U.S. – was behind the Nord Stream sabotage.

From The Daily Sceptic

BY NOAH CARL

In just the last few weeks, more evidence has come to light suggesting that Ukraine – and not Russia or the U.S. – was behind the Nord Stream sabotage.

We already knew that in the summer of 2022 the CIA warned Germany about a possible Ukrainian attack on the pipelines, following a tip-off from a U.S. ally. We now know that the attack itself “bears striking similarities” to what the U.S. ally (which turns out to be the Netherlands) said Ukraine was planning.

The Dutch intelligence, which was among the materials released in the Discord leaks, was obtained and corroborated by the Washington Post.

It revealed that “six members of Ukraine’s special operations forces using false identities intended to rent a boat and, using a submersible vehicle, dive to the floor of the Baltic Sea then damage or destroy the pipeline and escape undetected”. This of course lines up closely with the story German investigators have pieced together so far.

The intelligence also revealed that the would-be attackers “were not rogue operatives” but reported directly to General Zaluzhnyi, the commander in chief of Ukraine’s armed forces.

German investigators have identified the Andromeda, a 50ft pleasure boat, as the vessel used to carry out the sabotage – which we already knew had been rented by a Polish company that was allegedly founded by two Ukrainians. As Der Spiegel reported recently, an email sent to the vessel at the time it was rented also leads back to Ukraine.

According to the Wall Street Journal, investigators have now “fully reconstructed” the boat’s “entire two-week long voyage”, establishing that it sailed “around each of the locations where the blasts later took place”. They have also confirmed that traces of explosives found on board match explosive residue found on the pipelines themselves.

One of the explosives used in the sabotage was HMX, which is apparently “well-suited for demolishing underwater infrastructure”. What’s more, the quantity required to blow up the pipelines “would have easily fit on the Andromeda”, according to a European official.

In the latest development, various outlets reported yesterday that the CIA actually told Ukraine not to attack the pipelines, though it is “not clear how the Ukrainians responded”.

Some sceptics insist this is all an elaborate cover-up to disguise the true perpetrators of the sabotage – the U.S. government. I’m not convinced. That theory made a certain amount of sense back when it was being alleged that “pro-Ukraine saboteurs” were responsible. But the latest reports directly implicate Ukraine’s government.

Why would the U.S. want its European allies to believe the country they’ve been arming, training and supporting destroyed a major piece of European infrastructure? ‘To stop them blaming the U.S.,’ is one answer. But if the U.S. is trying to deflect blame from itself, why not devise a cover-up in which, say, Russia was responsible? Or at the very least, stick with “pro-Ukraine saboteurs”? It doesn’t make sense.