Summary of Willie Soon: Bad Data: Are NASA, NOAA and EPA Violating the Data Quality Act? | Tom Nelson Pod #169

00:00:00 - 00:50:00

In this section of his YouTube video, Willie Soon critiques the Data Quality Act and accuses NASA, NOAA, EPA, and IPCC of violating it by using poor quality data in their climate policies. He argues that the climate narrative, which posits that CO2 is causing global warming, is based on inadequate information, and that the organizations have not maintained the integrity of their information. He cites examples from the fourth and fifth National Climate Assessments and the Information Quality Act to support his claims. He encourages people to learn more about this topic and be skeptical of climate policies based on scientific claims without proper data backing. In a separate section of the video, Soon discusses the Intergovernmental Panel on Climate Change (IPCC) and its role in observing global warming since 1950. He raises concerns about the accuracy of the IPCC's data and argues that the evidence is not strong enough to support the conclusion that human activities are causing global warming. Finally, in another section of the video, Soon discusses an error in the calculation of global temperature anomalies that he discovered and critiques NASA, NOAA, and EPA for their failure to address it, despite its significant impact on the decision-making process for climate policy.

• 00:00:00 In this section, Willie Soon presents a critique of NASA, NOAA, EPA, and IPCC for allegedly violating the Data Quality Act in their climate and energy policies. He argues that the climate narrative, which posits that CO2 is causing global warming, is based on poor quality data, and that the organizations have failed to maintain and demonstrate the integrity of their information. He cites specific examples from the fourth and fifth National Climate Assessments and the Information Quality Act to illustrate his points. He encourages people to learn more about this topic and to be skeptical of climate policies based on scientific claims without proper data backing them up.
• 00:05:00 In this section of a YouTube video, the host discusses the Intergovernmental Panel on Climate Change (IPCC) and its role in observing global warming since 1950. The IPCC has published six reports since 1990, with the latest one released in 2021. The host specifically focuses on the detection of global warming and discusses the iconic graph produced by the IPCC, which uses climate models and actual data to determine the cause of global warming. The curve of the graph looks like a reasonable scientific curve, and the same graph is used in several IPCC assessments. However, the host raises concerns about the accuracy of the IPCC's data and argues that the evidence is not strong enough to support the conclusion that human activities are causing global warming. The host also emphasizes his own experience with the IPCC issue, stating that he has worked on the problem for over 30 years.
• 00:10:00 In the section beginning in 4 minutes of the video, Willie Soon discusses an error in the calculation of global temperature anomalies by the NASA, NOAA, and EPA. The error, which continued from 2009 to 2015, resulted in the wrong measurement of absolute temperature, which was used in climate models. Soon argues that this error has been ignored and not addressed by the agencies, despite being detected years ago and the existence of a range of temperatures in the actual climate model simulation. This affects the decision-making process for climate policy, as it is presented as a global temperature trend that doesn't reflect the actual situation. Soon continues by discussing the land temperature measurement for the global temperature record, which is contaminated by the urbanization bias. For the attribution of the cause of temperature change, Soon argues that solar radiation plays a significant role, which is not reflected in the current climate models. As an example, Soon cites a paper he co-authored in 2021, which has been published in Scientific Paper and has received 55,000 reader views. The paper has 23 countries, 14 references, and analyzed solar irradiance records over a longer period than previous studies. The paper is used to compare the quality of the work done by Soon's team versus the IPCC, which shows that Soon's work has a wider scope and includes more countries, references, and records. Soon concludes by emphasizing that the data quality should be improved to provide more precise and reliable conclusions about the climate.
• 00:15:00 Summary: Willie Soon, in this section of his YouTube video, discusses the issue of urban islands (such as Houston) affecting temperature data, particularly in the context of global warming. He argues that a significant amount of temperature data available for analysis comes from urbanized areas, a problem that leads to an information deficit. People often overlook the effects of urban areas on temperature measurements, which are different from rural surrounding areas. People have been falsely comparing the warming of urban areas with rural areas using limited data, which follows the narrative of global warming provoking a 5-degree Fahrenheit increase in global temperature. However, the actual temperature change can be significant, such as in Houston, where the temperature increase over the last decade is projected to be 1-1.5 degrees Celsius. Urban areas are expected to continue to influence temperature data, with some of the largest cities being in North America. To measure temperature accurately, it is important to place thermometers in the right location and place them at the right depth to avoid measuring just the urban surface. For accurate measurements, authors recommend comparing data from devices stationed in the same location or at the same depth.
• 00:20:00 In this section, the speaker discusses the issue with homogenization of temperature series data recommended by NOAA (National Oceanic and Atmospheric Administration). The speaker, who is not a climatologist, studied the subject and found that NOAA's homogenization technique results in inconsistent and unreliable data. The speaker raises concerns about the data quality and calls on scientists to only use the historical data of rural stations while ignoring urban stations that have been massaged by NOAA's computer program. The speaker's study found that about 87% of the data from urban stations was inconsistent with the actual history of the temperature data. The speaker publishes their findings in a study in 2015 and provides an example of the difference between urban and rural temperature data.
• 00:25:00 In this section, Willie Soon discusses the quality of rural temperature data and compares it with other available data sources such as SE surface temperature, temperature proxy temperature proxy measurements, ice C3 and C4 data, and natural satellite data. He argues that the thermometer data is the best standard of temperature measurement because it is direct, has a fix spot, and has a long record. He then shows that most of the rural station records are reasonable when compared with other available data sources. Soon then talks about the attribution of climate change and focuses on the rural stage. He argues that the Intergovernmental Panel on Climate Change (IPCC) considers 11 factors to be the main factors causing climate change, including volcanoes, solar radiation, greenhouse gases, and aerosols. He discusses how volcanoes are represented by IPCC and argues that their representation is incorrect. He then shows that the sun is the largest source of energy for the weather and climate system, with solar radiation accounting for 99.86% of the energy received by the Earth. He argues that IPCC has underestimated the role of the sun in climate change. Soon then discusses the phenomena of solar flares and sunspots, which are intense magnetic field regions on the sun's surface. He argues that the magnetic field changes on the sun affect the light output and can lead to reduced energy output to the Earth. He also discusses the history of solar data and the contributions made by scientists like Galileo Galilei. He argues that the minimum period of solar activity, which lasted for 171 months from 1699 to 1714, is the most significant period in solar history, and the lack of solar energy output during this time led to a significant reduction in Earth's temperature. In summary, Willie Soon argues that the rural station records are reasonable when compared with other available data sources, and the sun is the largest source of energy for the weather and climate system. He also discusses the importance of the phenomena of solar flares and sunspots and the history of solar data.
• 00:30:00 In this section, Willie Soon discusses a study he and his colleagues published in October 2015 which challenged NASA's measurements of the sun's output. This research contradicts the IPCC's six-stage model of solar activity, which has been perpetuated for decades, and proposes an alternative 27-stage model with only four stages of significant solar activity over the past 10,000 years. Soon argues that the IPCC's temperature record is heavily influenced by urban heat islands, which inflate temperatures, and rural areas, which do not. Further, by using the IPCC's recommended irradiance, one can only explain 0.13% of the last 10,000 years, while his proposed model explains 27% of that time period. Soon also challenges other data on rising sea levels and certain temperature records, arguing that these are inconsistent with the IPCC's model. He emphasizes that NASA and the EPA have violated the Data Quality Act, which requires neutrality and transparency in scientific research, by focusing on these particular measurements at the expense of others.
• 00:35:00 In this section, Willie Soon argues that NASA, NOAA, and EPA have violated the Data Quality Act by using poor quality solar data to make conclusions about climate change. He states that the solar data used by these agencies is not reliable and that they have not taken into account the impact of urbanization on their calculations. He also argues that the government's decision-making process has become anti-scientific and doesn't allow for alternative scientific voices or opinions. He mentions that the best information available for solar variability in the past 2,000 years is carbon-14 measurements, which are not connected to solar activity, and argues that politicians are responsible for addressing these issues.
• 00:40:00 In this section, Willie Soon discusses the importance of data quality in the field of science. He argues that poor quality data can lead to incorrect conclusions and the suppression of important findings. When discussing global warming, he criticizes the use of contaminated data and the failure to account for the urban heat island effect, which he claims has been covered up for decades. He claims that he has faced funding issues due to his criticism of the government's data quality and his desire to conduct independent research on the topic. He asserts that data quality is crucial to the pursuit of truth and that researchers and government agencies must strive to produce high-quality, unbiased data.
• 00:45:00 In this section of the YouTube video, Willie Soon discusses his experiences as a sciet
• 00:50:00 In this section, Willie Soon discusses his meeting with a scientist named Dem B who had been making bets on the Texas wind turbine project. According to Soon, Dem B was a strong advocate for wind energy and was particularly excited about the Texas project. Despite some initial success, the project ultimately failed and caused more problems than it solved. Despite this, Dem B remained optimistic and saw the failure as an opportunity for space exploration.