Email signatures are harming the planet and could cost people their lives — it’s time to stop using them

[editor’s note: Russell Cook emailed this article to Marc Morano and myself asking:

Marc & Charles,

Poe’s Law says that without a satire indicator, deep satire is increasingly difficult to distinguish from wacko sincere writings. I truly cannot tell if this writer is being serious or is taking one heckuva deep jab at zealot far-left nutcases:

To which I responded:

I think the publishers think it’s serious, but it appears planted as in the Sokal hoax.

The primary reference to pronouns and land acknowledgements, two leftist shibboleths, and not addresses, company information, although it does talk about disclaimers, leads me me to think it’s planted.

What do you guys think?

/editor’s note]

Email signatures are harming the planet and could cost people their lives — it’s time to stop using them

216581571_m
A recent study has shown that the environmental and human mortality impacts of modern information technology — especially email infrastructure — are significant.

Joshua M. Pearce, Western University

The use of information technology (IT) has significant environmental and social impacts, including human mortality from climate change. One striking example is the carbon emissions and impacts associated with digital communication.

To quantify the human cost of carbon-emitting technology, researchers use the 1,000-ton rule that estimates that for every 1,000 tons of carbon dioxide released into the atmosphere, one person dies prematurely.

This rule is derived from the following calculation: burning one trillion ton of fossil carbon is likely to cause 2 C of anthropogenic global warming, which in turn is likely to cause about one billion premature deaths spread over the next century.

This theory can be used as a decision-making framework for policymakers to compare the value of an activity to the cost of that activity in human lives.

It’s also what I used in my recent study that analyzed how additional information in email signatures contributes to climate-related deaths in Canada.

Email signatures causing emissions

Sending emails is an everyday activity, but it comes with an environmental cost. Emails use energy, and that energy often comes from burning fossil fuels, which in turn, contribute to increasing atmospheric carbon dioxide levels.

The overwhelming scientific consensus is that human activity is destabilizing the climate and is likely to cause irreversible damage to the global environment and humanity.

My recent study explored the environmental impact of lengthening email signatures, focusing specifically on two types of information: gender pronouns and land acknowledgements because both are relatively new additions to email signatures.

In both cases, the extra carbon emissions for each email for the extra characters is estimated and aggregated over the population that uses them.

170654667_m
The environmental consequences of minor digital habits are often overlooked.

The results showed that in Canada, where about 15 per cent of people include gender pronouns in emails, the resulting carbon emissions from this small change (three extra words) may contribute to the premature deaths of one person a year, according to the 1,000-ton rule.

The environmental harm and human mortality caused by this seemingly minor digital habit is evident. Large blocks of text like legal disclaimers and land acknowledgements cause even more harm. Images and logos, which contain even larger amounts of data, cause more emissions and deaths still.

Doing away with email signatures

Most of the content in email signatures is redundant, as we tend to email the same people repeatedly. The environmental and human cost of using email signatures clearly outweighs the benefits. One solution to this issue is to replace email signatures with a hyperlinked name to additional information.

Another simple way to increase efficiency and reduce emissions is by eliminating email signatures entirely, since emails already identify senders in the header. After all, we don’t sign our texts, so why do we feel the need to sign our emails?

If you receive an email with a long signature, you might consider asking the sender to switch to a hyperlink instead, or eliminate their signature all together.

Additionally, you can encourage others to use free, open-source ad blockers to reduce unnecessary data from ads while browsing or emailing. Ads, especially on websites, generate an enormous amount of unnecessary data and energy consumption.

While these steps may seem small on their own, collectively, they can make a significant difference in reducing digital waste and unnecessary emissions.

The hidden cost of spam emails

The results of my recent study make it clear that Canada’s current IT and energy infrastructure are unsustainable. The study should serve as a wake-up call for the need to eliminate the use of fossil fuels from our energy systems entirely, particularly because it is already possible to displace fossil fuels with renewable energy with lower costs.

It also gives pause for the far more damaging impacts of other forms of digital communications, particularly email spam.

Already more than half of all emails are spam. (Shutterstock)
Already more than half of all emails are spam.

Spam accounts for over half of all emails and, despite having lower carbon emissions per email (since many are deleted without being opened), spam accounts for far more emissions-producing data. Beyond its environmental toll, spam also wastes the time of every email user.

In response, several proposals and laws have been put forward to reduce this digital waste, from including taxes on emails, opt-in or opt-out systems to even outlawing spam entirely. While these efforts are a step in the right direction, we all still suffer through an enormous amount of spam.

The environmental impact of our online habits is far larger than most realize, and as digital communication continues to evolve, we must consider its long-term consequences on the environment and human life. We should take the easy steps of cutting wasteful energy use in our communications and it can start with eliminating email signatures.

Joshua M. Pearce, John M. Thompson Chair in Information Technology and Innovation and Professor, Western University

This article is republished from The Conversation under a Creative Commons license. Read the original article.


Discover more from Watts Up With That?

Subscribe to get the latest posts sent to your email.

via Watts Up With That?

https://ift.tt/MXVGDtv

March 17, 2025 at 12:05PM

Green Councils After Your Life Savings!

By Paul Homewood

 

h/t Ian Magness

 

A real bit of journalism from The Telegraph for a change!

 

 image

Green-led Bristol appeals to taxpayers as it struggles with a £52m funding shortfall

Cash-strapped councils are asking taxpayers to invest their savings in projects to help them meet their net zero targets.

Bristol and Hackney, which have both warned of severe funding shortfalls, have become the latest councils to launch investment schemes to help fund their environmental initiatives. The schemes invite taxpayers to invest in exchange for 4.2pc annual interest across a five-year term.

But experts said the deals risked “clear trade-offs” in terms of returns and protection for investors.

So far, 238 taxpayers have collectively saved £175,750 in the Bristol Climate Action Investment. Green-led Bristol, which has warned of a £52m funding gap, said the money raised would help fund heat pump installations, solar panels and energy improvements in its own offices.

Meanwhile, 103 have invested £128,345 in Hackney Council’s green projects, including funding energy efficiency improvements at a local school. Hackney councillor Robert Chapman, said the scheme provided a “cost-efficient way for councils to finance climate action”.

In total, 15 councils have launched the investment products, according to Abundance Investment, the financial provider.

Read the full story here.

As the Telegraph notes, the investment is not as safe as it sounds. Apparently, as it is peer-to-peer lending, it is not covered by the Financial Services Compensation Scheme (FSCS), which can protect up to £85,000 of your deposit if the provider goes under. It is also unlikely that they would easily tradeable on the bond markets, if investors wanted their money out.

And if councils went broke as Thurrock did last year, it is not guaranteed investors would get their money back.

The interest rate of 4.2% is frankly pathetic for such a risky investment. Councils like Bristol would have to pay much higher rates in the market, and are gambling on the naivety of people who believe in their climate emergency nonsense.

.

BEWARE GREEN COUNCILS ASKING FOR MONEY!!

via NOT A LOT OF PEOPLE KNOW THAT

https://ift.tt/VbLIPe9

March 17, 2025 at 11:45AM

02/2025 Update–Temperature Changes, CO2 Follows

Previously I have demonstrated that changes in atmospheric CO2 levels follow changes in Global Mean Temperatures (GMT) as shown by satellite measurements from University of Alabama at Huntsville (UAH). That background post is reprinted later below.

My curiosity was piqued by the remarkable GMT spike starting in January 2023 and rising to a peak in April 2024, and then declining afterward.  I also became aware that UAH has recalibrated their dataset due to a satellite drift that can no longer be corrected. The values since 2020 have shifted slightly in version 6.1, as shown in my recent report Oceans Rapidly Cooling UAH January 2025.

In this post, I test the premise that temperature changes are predictive of changes in atmospheric CO2 concentrations.  The chart above shows the two monthly datasets: CO2 levels in blue reported at Mauna Loa, and Global temperature anomalies in purple reported by UAHv6.1, both through February 2025. Would such a sharp increase in temperature be reflected in rising CO2 levels, according to the successful mathematical forecasting model? Would CO2 levels decline as temperatures dropped following the peak?

The answer is yes: that temperature spike resulted
in a corresponding CO2 spike as expected.
And lower CO2 levels followed the temperature decline.

Above are UAH temperature anomalies compared to CO2 monthly changes year over year.

Changes in monthly CO2 synchronize with temperature fluctuations, which for UAH are anomalies now referenced to the 1991-2020 period. CO2 differentials are calculated for the present month by subtracting the value for the same month in the previous year (for example February 2025 minus February 2024).  Temp anomalies are calculated by comparing the present month with the baseline month. Note the recent CO2 upward spike and drop following the temperature spike and drop.

The final proof that CO2 follows temperature due to stimulation of natural CO2 reservoirs is demonstrated by the ability to calculate CO2 levels since 1979 with a simple mathematical formula:

For each subsequent year, the CO2 level for each month was generated

CO2  this month this year = a + b × Temp this month this year  + CO2 this month last year

The values for a and b are constants applied to all monthly temps, and are chosen to scale the forecasted CO2 level for comparison with the observed value. Here is the result of those calculations.

In the chart calculated CO2 levels correlate with observed CO2 levels at 0.9987 out of 1.0000.  This mathematical generation of CO2 atmospheric levels is only possible if they are driven by temperature-dependent natural sources, and not by human emissions which are small in comparison, rise steadily and monotonically.  For a more detailed look at the recent fluxes, here are the results since 2015, an ENSO neutral year.

For this recent period, the calculated CO2 values match the annual lows, while some annual generated values of CO2 are slightly higher or lower than observed at other months of the year. Still the correlation for this period is 0.9932.

Key Point

Changes in CO2 follow changes in global temperatures on all time scales, from last month’s observations to ice core datasets spanning millennia. Since CO2 is the lagging variable, it cannot logically be the cause of temperature, the leading variable. It is folly to imagine that by reducing human emissions of CO2, we can change global temperatures, which are obviously driven by other factors.

Background Post Temperature Changes Cause CO2 Changes, Not the Reverse

This post is about proving that CO2 changes in response to temperature changes, not the other way around, as is often claimed.  In order to do  that we need two datasets: one for measurements of changes in atmospheric CO2 concentrations over time and one for estimates of Global Mean Temperature changes over time.

Climate science is unsettling because past data are not fixed, but change later on.  I ran into this previously and now again in 2021 and 2022 when I set out to update an analysis done in 2014 by Jeremy Shiers (discussed in a previous post reprinted at the end).  Jeremy provided a spreadsheet in his essay Murray Salby Showed CO2 Follows Temperature Now You Can Too posted in January 2014. I downloaded his spreadsheet intending to bring the analysis up to the present to see if the results hold up.  The two sources of data were:

Temperature anomalies from RSS here:  http://www.remss.com/missions/amsu

CO2 monthly levels from NOAA (Mauna Loa): https://www.esrl.noaa.gov/gmd/ccgg/trends/data.html

Changes in CO2 (ΔCO2)

Uploading the CO2 dataset showed that many numbers had changed (why?).

The blue line shows annual observed differences in monthly values year over year, e.g. June 2020 minus June 2019 etc.  The first 12 months (1979) provide the observed starting values from which differentials are calculated.  The orange line shows those CO2 values changed slightly in the 2020 dataset vs. the 2014 dataset, on average +0.035 ppm.  But there is no pattern or trend added, and deviations vary randomly between + and -.  So last year I took the 2020 dataset to replace the older one for updating the analysis.

Now I find the NOAA dataset starting in 2021 has almost completely new values due to a method shift in February 2021, requiring a recalibration of all previous measurements.  The new picture of ΔCO2 is graphed below.

The method shift is reported at a NOAA Global Monitoring Laboratory webpage, Carbon Dioxide (CO2) WMO Scale, with a justification for the difference between X2007 results and the new results from X2019 now in force.  The orange line shows that the shift has resulted in higher values, especially early on and a general slightly increasing trend over time.  However, these are small variations at the decimal level on values 340 and above.  Further, the graph shows that yearly differentials month by month are virtually the same as before.  Thus I redid the analysis with the new values.

Global Temperature Anomalies (ΔTemp)

The other time series was the record of global temperature anomalies according to RSS. The current RSS dataset is not at all the same as the past.

Here we see some seriously unsettling science at work.  The purple line is RSS in 2014, and the blue is RSS as of 2020.  Some further increases appear in the gold 2022 rss dataset. The red line shows alterations from the old to the new.  There is a slight cooling of the data in the beginning years, then the three versions mostly match until 1997, when systematic warming enters the record.  From 1997/5 to 2003/12 the average anomaly increases by 0.04C.  After 2004/1 to 2012/8 the average increase is 0.15C.  At the end from 2012/9 to 2013/12, the average anomaly was higher by 0.21. The 2022 version added slight warming over 2020 values.

RSS continues that accelerated warming to the present, but it cannot be trusted.  And who knows what the numbers will be a few years down the line?  As Dr. Ole Humlum said some years ago (regarding Gistemp): “It should however be noted, that a temperature record which keeps on changing the past hardly can qualify as being correct.”

Given the above manipulations, I went instead to the other satellite dataset UAH version 6. UAH has also made a shift by changing its baseline from 1981-2010 to 1991-2020.  This resulted in systematically reducing the anomaly values, but did not alter the pattern of variation over time.  For comparison, here are the two records with measurements through December 2023.

Comparing UAH temperature anomalies to NOAA CO2 changes.

Here are UAH temperature anomalies compared to CO2 monthly changes year over year.

Changes in monthly CO2 synchronize with temperature fluctuations, which for UAH are anomalies now referenced to the 1991-2020 period.  As stated above, CO2 differentials are calculated for the present month by subtracting the value for the same month in the previous year (for example June 2022 minus June 2021).   Temp anomalies are calculated by comparing the present month with the baseline month.

The final proof that CO2 follows temperature due to stimulation of natural CO2 reservoirs is demonstrated by the ability to calculate CO2 levels since 1979 with a simple mathematical formula:

For each subsequent year, the co2 level for each month was generated

CO2  this month this year = a + b × Temp this month this year  + CO2 this month last year

Jeremy used Python to estimate a and b, but I used his spreadsheet to guess values that place for comparison the observed and calculated CO2 levels on top of each other.

In the chart calculated CO2 levels correlate with observed CO2 levels at 0.9986 out of 1.0000.  This mathematical generation of CO2 atmospheric levels is only possible if they are driven by temperature-dependent natural sources, and not by human emissions which are small in comparison, rise steadily and monotonically.

Comment:  UAH dataset reported a sharp warming spike starting mid year, with causes speculated but not proven.  In any case, that surprising peak has not yet driven CO2 higher, though it might,  but only if it persists despite the likely cooling already under way.

Previous Post:  What Causes Rising Atmospheric CO2?

nasa_carbon_cycle_2008-1

This post is prompted by a recent exchange with those reasserting the “consensus” view attributing all additional atmospheric CO2 to humans burning fossil fuels.

The IPCC doctrine which has long been promoted goes as follows. We have a number over here for monthly fossil fuel CO2 emissions, and a number over there for monthly atmospheric CO2. We don’t have good numbers for the rest of it-oceans, soils, biosphere–though rough estimates are orders of magnitude higher, dwarfing human CO2.  So we ignore nature and assume it is always a sink, explaining the difference between the two numbers we do have. Easy peasy, science settled.

What about the fact that nature continues to absorb about half of human emissions, even while FF CO2 increased by 60% over the last 2 decades? What about the fact that in 2020 FF CO2 declined significantly with no discernable impact on rising atmospheric CO2?

These and other issues are raised by Murray Salby and others who conclude that it is not that simple, and the science is not settled. And so these dissenters must be cancelled lest the narrative be weakened.

The non-IPCC paradigm is that atmospheric CO2 levels are a function of two very different fluxes. FF CO2 changes rapidly and increases steadily, while Natural CO2 changes slowly over time, and fluctuates up and down from temperature changes. The implications are that human CO2 is a simple addition, while natural CO2 comes from the integral of previous fluctuations.  Jeremy Shiers has a series of posts at his blog clarifying this paradigm. See Increasing CO2 Raises Global Temperature Or Does Increasing Temperature Raise CO2 Excerpts in italics with my bolds.

The following graph which shows the change in CO2 levels (rather than the levels directly) makes this much clearer.

Note the vertical scale refers to the first differential of the CO2 level not the level itself. The graph depicts that change rate in ppm per year.

There are big swings in the amount of CO2 emitted. Taking the mean as 1.6 ppmv/year (at a guess) there are +/- swings of around 1.2 nearly +/- 100%.

And, surprise surprise, the change in net emissions of CO2 is very strongly correlated with changes in global temperature.

This clearly indicates the net amount of CO2 emitted in any one year is directly linked to global mean temperature in that year.

For any given year the amount of CO2 in the atmosphere will be the sum of

  • all the net annual emissions of CO2
  • in all previous years.

For each year the net annual emission of CO2 is proportional to the annual global mean temperature.

This means the amount of CO2 in the atmosphere will be related to the sum of temperatures in previous years.

So CO2 levels are not directly related to the current temperature but the integral of temperature over previous years.

The following graph again shows observed levels of CO2 and global temperatures but also has calculated levels of CO2 based on sum of previous years temperatures (dotted blue line).

Summary:

The massive fluxes from natural sources dominate the flow of CO2 through the atmosphere.  Human CO2 from burning fossil fuels is around 4% of the annual addition from all sources. Even if rising CO2 could cause rising temperatures (no evidence, only claims), reducing our emissions would have little impact.

Atmospheric CO2 Math

Ins: 4% human, 96% natural
Outs: 0% human, 98% natural.
Atmospheric storage difference: +2%
(so that: Ins = Outs + Atmospheric storage difference)

Balance = Atmospheric storage difference: 2%, of which,
Humans: 2% X 4% = 0.08%
Nature: 2% X 96 % = 1.92%

Ratio Natural : Human =1.92% : 0.08% = 24 : 1

Resources
For a possible explanation of natural warming and CO2 emissions see Little Ice Age Warming Recovery May be Over
Resources:

CO2 Fluxes, Sources and Sinks

Who to Blame for Rising CO2?

Fearless Physics from Dr. Salby

via Science Matters

https://ift.tt/j45Yxdp

March 17, 2025 at 10:25AM

Tuesday

0 out of 10 based on 0 rating

via JoNova

https://ift.tt/l2uOEV1

March 17, 2025 at 09:42AM