Three loud climate warning signals
axios.com
axios.com
Ontario phased out coal electricity for a mix of natural gas and renewables in the early-mid 2000s. Climate wasn't the primary motivator. Regular air pollution was. Smog has essentially disappeared from Toronto. I haven't had burning eyes and a scratchy throat on what would have once been bad summer days in almost two decades personally (atmospheric NO2 levels): https://files.ontario.ca/2086-figurea35-en.jpg Atmospheric mercury levels alone have fallen by 40%. I didn't even know so much Hg in the environment came from coal ash!
> An independent assessment conducted by Toronto Public Health in 2014 suggests that improvements in Ontario’s air quality have translated into significant health benefits for Ontario residents. Toronto Public Health found that improvements in Toronto’s air quality from 2000 to 2011 have reduced air pollution-related premature deaths by 23% (from 1,700 to 1,300 per year) and hospital admissions by 41% (from 6,000 to 3,550 per year) in Toronto alone.
- never having a medical emergency
- driving 30 minutes to get food
- never going anywhere you can't drive home from
Air quality within cities is actually a totally different issue from whether living in a city is in and of itself harmful for the environment.
As the OP mentioned, reducing fossil fuel usage within city centers (both power generation and vehicle usage) can dramatically reduce smog and improve air quality within the city. While even more dramatically reducing the city dwellers' environmental footprint.
Living in the suburbs is reliant on largely fossil-fuel burning vehicular transport, which even if electrified, is substantially less efficient than mass transit, cycling, or walking, all of which are much more feasible within a city. Not to mention the sheer land area used for pavements and stormwater drainage and such in spread-out areas.
Cities concentrate pollution and completely overwhelm the local environment's capacity to absorb human impacts. However, they generally reduce overall pollution when compared to suburban or rural living at the same income level.
Widespread adoption of diesel engines (in place of gasoline) has increased particulate and nitrogen oxide pollution. Wood burning (compared to other fossil fuels) is a similar story.
I'm also wondering if you're familiar with or would like this book by a climate scientist living in Texas who's documented what's worked for her in talking about climate change with people who are resistant: https://www.simonandschuster.com/books/Saving-Us/Katharine-H...
Risk perception is a topic that should be taught in schools.
I remember that Trump was not much in fighting about climate change but much more into fighting against air pollution. On that account he was not completely wrong. Air pollution kills many people as others said.
The most egregious example in my opinion was the attempt to end California's legal authority to set its own, more stringent, emissions standards[2]. The edict was even opposed by a majority of automakers.
Luckily many of these rulings have been rolled-back or are in the process of being reversed.
Air pollution even from tires and brakes, let alone from gasoline, is a large health problem and should be discussed more.
[0] - https://www.brookings.edu/policy2020/votervital/what-is-the-...
[1] - https://eelp.law.harvard.edu/2017/12/coal-ash-rule/
[2] - https://www.theverge.com/2021/4/26/22404403/california-tailp...
You are going to have to source that. Trump championed coal, eviscerated the EPA, rolled back air quality regulations, etc.
It raises a simple question that isn't easy to answer: what do we mean when we say someone died of something? Under what circumstances do we say that? If someone gets hit by a car, they were killed in a car accident. If an 80 year old dies of cancer, cancer killed them, but it's a little different than a car accident (and also different than a 15 year old dying of leukemia). Even more different is something, like pollution, that is a factor in someone's death.
When it comes to pollution, I think a better framing would be to talk about pollution lowering life expectancy. That seems more honest unless these people are choking on smog and asphyxiating.
Yet if you took two large and matched cohorts, one smoking and one non-smoking, after 50 years the smoker population would be much smaller than the non-smoking. On the population level, I think it's reasonable to attribute those missing people to having died from smoking, even though individually we can't say much.
It's worth noting however that this kind of accountancy can lead to mathematical conclusions that make us uncomfortable - e.g. it is better to murder a child than to cause everyone in the world to wake up 1 second late (3 times better in fact) since the total lost time to everyone exceeds the expected lifespan of the child.
Things immediately jump out at me, such as: Of the top 20 hottest years on record, the only one that isn't from the past 20 years is 1998. The year that got bumped out of the top 20 is 2008, which sits at 21st place. That seems like a pretty clear trend to me.
[1] - https://www.ncdc.noaa.gov/cag/global/time-series/globe/land_...
[2] - https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_...
The US Department of Defense has done risk analyses regarding this exact topic. Here's one that got some media attention: https://media.defense.gov/2021/Oct/21/2002877353/-1/-1/0/DOD...
Meanwhile fish populations oscillate. When they are low, people (2B of them) go hungry. Hungry people protest, governments change or fall, wars start.
Remember those thousands of Syrian refugees that caused such a stir? That was a few thousand people. Raise that to 10,000, then 100,000, then 1M, then 10M, then 100M.
We have no conceivable way to humanely cope with worldwide upset of that magnitude. If it comes to pass, it will surely collapse civilization. As it has repeatedly in the past - Mayan, Babylonian, everybody throughout human history.
And that's just fish.
The more accurate the measurements, the more records ascertained.
From the scientific article's[1] own plain-language summary: "The Thwaites Eastern Ice Shelf is the floating terminus of the Thwaites Glacier, one of the fastest changing glaciers in Antarctica and contributing as much as 4% of global sea level rise today. This floating ice shelf is stabilized offshore by a marine shoal and acts as a dam to slow the flow of ice off the continent into the ocean. If this floating ice shelf breaks apart, the Thwaites Glacier will accelerate and its contribution to sea level rise will increase by as much as 25%."
So, this specific ice shelf's collapse would increase global sea level rise by up to 1%. Over the coming decades, the dominant driver of sea level rise will continue to be thermal expansion of the ocean itself. The West Antarctic Ice Sheet in total may contribute 3 m of sea level rise... over a period of 13 thousand years[2].
[1]: https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/978762
My coworkers laugh when I tell them I'm looking at Miami real estate. It doesn't look like it's going anywhere but up in my lifetime, though.
Extreme weather is not, both in severity and in frequency. Doing big averages from a far, safe distance hide you the fact that is not so safe at local level, and the increase frequency turns every place into a dangerous to be one eventually.
Sea rises slowly in average, but still there was plenty of floods this very year. You don't have to wait till the ocean catches you, an atmospheric river could ruin your life too.
Extreme weather events, wet-bulb temperature shifts, arable land changes, and habitat loss are near-term threats that are already having impact.
Yawn.
We need to stop allowing it.
I believe they are doing it to make money. Which is perfectly alright.
Isn't the government supposed to _evaluate_ and _regulate_ the market in order to account for the externalities created by X, Y, and Z corporations? If they are not doing this, what do we do? Cause we've been voting the same cronies in cycle after cycle, with the same result.
What is the definition of insanity? Our reality.
Wyoming and Vermont are the largest coal exporting states? Based on https://www.statista.com/statistics/380664/leading-us-states..., it looks like the top 5 coal exporting states are ranked 39, 24, 5, 6, and 12 in terms of population.
This has Wyoming and WV as the biggest producers. Could differ from exports, but in retrospect production is probably more important. Those states are quite small. Vermont is too. Yet they have 6 senators between them.
Stroads, for instance, only came about after a ton of corporate spending on propaganda and lobbying to increase demand for automobiles.
If you contaminate the water supply of a city in order to create demand for your water purification product, then is the resulting consumer demand your fault or theirs?
no need for evil corps for this lifestyle to be appealing to lots of people
Corporations don't just emit greenhouse gases for the fun of it, like some sort of villain, they do it because they produce the stuff that we, the "ordinary citizens" buy like mad every Christmas or whenever we have $200 extra in our bank accounts.
Corporations will do anything permitted by the law and that's no secret. That includes evading taxes, sub-living wages or pollution. Ordinary citizens allow this by buying the products of those corporations and by not voting for more green policies.
To assign the blame solely on corporations and remove "ordinary citizens" from the equation is short-sighted at best.
"will do anything permitted by the law"
Exactly. So start changing the law. Blaming consumers will get us nowhere. Change the law. Enforce the law. Force corporations to act.
But it will be heavily unpopular as it will reduce people’s quality of life in the short term, even for the rest of their life, plus globally, other populations would be happy to pick up the demand.
For you, the buck stops at whatever citizens currently exist on the planet/continent/country/state/city/town.
For me, the buck stops at the corporations and governments who are more than responsible for the current mess we are in. You do realize these chucklef*cks are still flying around on private jets, right?
I don't like citizen going crazy on corporations (which I despise often). Because most of the product they buy are conscious and free decision. Blame corps for tapping into human reflexes (rule 1 of any commercial anything).
A bit off-topic, but corporations will also do things not permitted by the law if the potential penalties are likely to be significantly lower than the potential profits.
And, of course, they also expend significant resources to shape the law to serve their interests, and appear to be significantly more effective at this than "ordinary citizens".
The reason people blame corporations is because it's very difficult to find the people who own them, and because they have a realistic view of power.
And it needs to happen soon too, because we've already squandered 30 year of doing nothing.
It's interesting to look at the long term trends, especially when looking at some of the largest economies on the planet.
Comparing the US[0] and China[1], the US has:
- Decreasing per capita emissions in the US starting in 1973 (-27%)
- A decrease in the countries emission starting in 2007 (-13%)
Meanwhile for the same period China has had
- a 7x increase per capita since 1973 (+532%)
- 48% increase for its global emissions since 2007
If a country decides to impose a burden on itself by doing the right thing and going green (like the EU and US are doing) then China can just bring on more coal plants online to bring the price of their goods down and crush the competition. Nobody in the western world can compete with that.
It's time we start holding governments accountable and impose tariffs and immigration quotas on misbehaving countries.
No way in hell will Homo Sapiens change its behavior (at anything resembling a useful scale) based tiny-looking shifts in a few climate statistics. Nor harmless-looking events on a distant and neigh-uninhabited continent.
A better question: How fast could Mr. Musk's fleet of Starships deploy enough giga-scale solar shades to reduce Earth's total insolation by (say) 5%?
Being too needlessly cynical about what is possible is also dangerous. Basically you are forming a coalition with deniers and stand in the way of meaningful progress.
I agree that the challenges are immense and (as is pretty clear to everyone, I think) adapting to the changes will always be part of it. Does not mean that making progress on prevention is meaningless.
Let the people who do not want those preventive changes work on adaption alternatives.
Certainly my own experience with big, tough "must-do" projects is that there's damned little overlap between the folks who jump up to do 95% of the posturing and talking, and the folks who show up and do 95% of that actual hard work needed to succeed. And that second crowd has fairly underwhelming respect for most of the first crowd.
http://ocean.dmi.dk/arctic/meant80n.uk.php
Comparison of the longterm mean temperature in the artic with each year going back to 1958.
edit: Never mind. I had to disable the HTTPS everywhere extension.
I have a pretty naïve understanding of this and I was aware at the time that this was a bit of a nuclear option because its unsure if this would work and once we do it there isnt really any going back. But this is an option right? At some point some country that has been impacted by climate change enough will start to dump something into the air to counteract climate change.
I havnt thought about this in years but someone asked me recently and I brought this up and they questioned it a bit and I realized I didnt actually know how it would potentially work.
I rest my case !
of course you can block the sun with gas and dust.. isn't that famously the cause of extinctions?
Any talk of going to Mars is just silly click bait. If we had to, we have the technology to support several million people completely underground, growing food via hydroponics. The Earth isn't going to 0 population outside of an asteroid or nuclear event of major proportions.
Are we at melting point now? Or very very close to it?
A lot of places are on the margin where 1c or 2c matters a lot. This margin moves up the more we increase heat.
But more than that, the volatility in the climate system increases at a much greater rate than the mean temperature.
Extreme weather events will continue to get more frequent
The countries that are closest to that margin, like Saudi Arabia, Qatar or Iran, are actually perfectly happy with pumping more fossil fuels. Bin Salman was actively trying to sabotage COP26 talks. Brazil continues the deforestation, with Bolsonaro being perfectly happy with it
Florida beach front properties are not dropping in value. Migration towards Sun Belt in the US is a real thing. At the peak of summer heat, significant chunk of Europe's population temporarily moves to the hottest parts of the continent. Despite the global warming prospects and economic disparities, Greeks, Italians and Spaniards aren't flocking to Scandinavia. etc., etc.
In the past, over a period of time, an equilibrium existed, CO2 broke that equilibrium.
First time I visited the USA was Dec 2014-Jan 2015; strong and opposite temperature anomalies across the USA, so I found people surfing in California on Christmas Day[0] while around the same time Trump was tweeting sarcastically about the snow in NYC disproving global warming.
[0] for all they know that might even be normal for California, I’m not American
And that shelf is already melting, and cracks are appearing. It's currently kept in place by an undersea mountain, but when it melts too much or breaks up, it could lose that grip, and things can start moving very quickly all of a sudden.
The fact that global temperatures are undeniably going up and are continuing to rise, isn't exactly helping with keeping all that ice in its place.
At some point climate “sceptics” are like the people avoiding vaccines. Dumb babies indulging in sophistry while ignoring real actions that can alter reality in massively useful ways.
What have you done about switching to IPv6?
i know climate change has the effect of "shifting and widening gaussians", still an anomalous temperature differential of 60 Celsius was a bit of a shock.
What bothers me as an engineer is that I can't see how anything over a 150 year span at a global, hemispherical, continental, national or even regional level can be calculated to an actual accuracy of 0.1 degrees C and, even worse, enough precision to support conclusions with one digit after the decimal point.
For those who might not be clear in the difference between accuracy and precisions, here's what I hope is a simple explanation you can remember (works for me).
How close are you to the absolute correct number? "Absolute" starts with "A". This is accuracy. You are trying to cut a piece of aluminum to 1 unit in length. If every piece is about 1.2 units you are not very accurate. If every piece is about 0.95 units, you are far more accurate. You are closer to your target, absolute or real measurement.
Precision is related to grouping. I remember this by thinking "Group ends with P = Precision". Think of this in terms of how closely grouped your measurements might be.
Absolute > Accuracy
Group > Precision
Imagine you have to make an aluminum bar 1 unit in length. Here are various outcomes from making five bars and their accuracy/precision classification: Accurate and Precise: [1.000, 1.005, 0.999, 1.002, 0.998]
Accurate and NOT Precise: [1.000, 1.050, 0.959, 1.022, 0.978]
NOT Accurate and Precise: [1.200, 1.205, 1.199, 1.202, 1.198]
NOT Accurate and NOT Precise: [1.220, 1.105, 1.127, 1.272, 1.298]
Sorry for the detour.I read a number of documents [0] [1] (and more on that second link) describing the NOAA data used for most of these studies. I would not be honest if I didn't say that I can't help think there's a lot of stuff that feels less than correct.
I also revert to the simplest ideas (call it an Occam's razor impulse) that tells me that measuring temperatures over such long periods of time to these purported degrees of accuracy and precision is simply impossible. 0.5 degrees C over 150 years?
The only way this happens is if you takes averages of averages of averages, eliminate a bunch of readings and pretty much ignore some of the reality of such readings. And, BTW, you keep significant digits when, perhaps, you should not.
Here's a simple example in the spirit of Occam's razor thinking:
Take a look at this picture [2], source [3].
It is very easy to see that both where and when a temperature is measured can have a massive effect on the readings. Focusing on the peaks (both low and high), there's a roughly 3 degree C difference between the location with the lowest curve and the highest. Even if limited to temperatures from the same location, if your measurement is displaced by one hour the difference can is in the 1 to 2 degree range. If I measure the "Technical Services" location at 14:00 and "Music Hall" at 12:00 I get the same temperature. If I lump these measurements with measurements made at different location at different times, and average multiple times to aggregate across regions and time, well, there's no telling what the end result actually means. In this context, you'd be lucky to be able to claim results accurate within 1 degree and a precision of + or - 1 degree from there.
The evidence is clear, melting ice does not lie. However, these studies seem to be lacking something very fundamental. I can only put my finger on trying to extract accuracy and precision from data that cannot possibly support reporting at those levels. To make matters worse, most of these graphs plot deltas with respect to averages from what I will call hot periods.
What do I mean by this?
The graph in question does not plot a 150 year history with respect to the mean temperature spanning 150 years. They tend to use a contemporary average (I don't remember, let's say it is from 1980 to present day) as their baseline. Of course, with respect to this baseline everything before the reference period will look like an ice age (being dramatic). In my opinion, this makes for a more dramatic looking graph. Not necessarily a more truthful presentation, just more dramatic.
Someone mentioned in anther comment the idea of what you'd have to do to convince those skeptical about climate change. Well, for starters, the data and graphs presented has to be unimpeachable. Anyone can rightly ask "How could you possibly know the temperature in 1880 or 1910 to an accuracy of 0.1 C?". And they would be right to question such a claim. Not sure how to fix this. Just pointing out something that seems troublesome to me.
[0] https://www.st-andrews.ac.uk/~rjsw/papers/Jones-etal-1999.pd...
[1] https://www.ncdc.noaa.gov/monitoring-references/faq/anomalie...
[2] https://www.researchgate.net/publication/322719908/figure/fi...
[3] https://www.researchgate.net/figure/June-hourly-temperature-...
> measuring temperatures over such long periods of time to these purported degrees of accuracy and precision is simply impossible. 0.5 degrees C over 150 years?
"Impossible" seems like a bit too strong of a statement. In terms of the raw data, temperature stations have been around since the mid-to-late-1800s or so, and the equipment back then seems more than accurate and precise enough to provide good readings [0]. After that, it's "just" a matter of good record-keeping and accounting for other possible sources of temperature change.
As for other sources of uncertainty - I think climate scientists are well aware of those questions, and devote quite some time to analyzing uncertainties in the temperature record (e.g., [1]). You can probably find much more detailed information with some additional searching.
I'd expect that the reasoning and/or math behind the estimates is available (e.g., Berkeley Earth's methodology is available at [2]). There may be paywalls for other datasets; haven't gone looking enough to know.
> If I lump these measurements with measurements made at different location at different times, and average multiple times to aggregate across regions and time, well, there's no telling what the end result actually means.
Are you sure that is what is actually done? The first two sources you provide seem to contradict the scenario you describe.
As described in your first link, the need to remove confounders from data is well-known in the field:
> The most important [confounders] are (1) changes in instrumentation, exposure, and measurement technique; (2) changes in station location (both position and elevation); (3) changes in observation times and the methods used to calculate monthly averages; and (4) changes in the environment of the station, particularly with reference to urbanization that affects the representativeness of the temperature records.
Multiple techniques have been developed to identify and remove effects not caused by climate (e.g., Peterson et al. [3], referenced by your first link).
In addition, your first link describes why absolute temperatures are not used:
> Anomaly values overcome most of the problems with absolute temperatures such as differences between stations in elevation, in observation times, the methods used to calculate monthly mean temperatures, and screen types.
This would mean that absolute temperature measurements from different locations and times are not naively combined as you described.
Your NOAA link more or less backs up the use of anomalies instead of absolute temperatures for the given reasons.
In general, I'd suspect that there are answers for most of the questions you bring up, but buried in one paper or another.
[0]: https://www.chicagotribune.com/news/ct-xpm-2000-05-28-000528...
[1]: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018JD02...
[2]: https://essd.copernicus.org/articles/12/3469/2020/essd-12-34...
[3]: https://hot-topic.co.nz/wp-content/uploads/2014/11/Peterson_...
You might be right. Rather than a statement of fact, this is my opinion based on some four decades in engineering spanning a range from consumer to military/aerospace work. The measurements taken as factual in these models, from my perspective, defy what is possible across 150 years around the planet.
If you read through descriptions of the methodology you come across passages with a summary that looks like "average of the average of the average of the average". You can't just keep doing this without suffering a loss in significant figures. You would literally have to have accuracy and precision information on each sensor and for each measurement to then be able to propagate all of this carefully. Furthermore, you really need to know the standard deviation in order to understand the uncertainty in the measurements.
If we have a set of measurements in region 1 and the average uncertainty in the measurements is 0.5, while, in region 2, it is 0.3...what should this mean when you combine them with other regions in order to fabricate (because it is being fabricated through computation) a number to represent the entire northern hemisphere. To that point: A number representing an entire region, state, country, continent or hemisphere MUST HAVE an uncertainty attached to it. There is no such thing as "The northern hemisphere is at 18.2 degrees", that would be a silly statement to make.
Anyhow, I don't want to beat this one to death. Nothing is going to change. I just feel very uneasy with the way some of this data is presented. I can't remember ever seeing these presentations with a statement that quantifies the uncertainty in the numbers. When you do that, it is easy for the audience --particularly if they have no relevant training-- to assume the numbers given are an accurate and precise rendition of some measurement, when, in fact, that is never the case.
What would the graph presented in the article look like with error bands? Don't know.
An example of this is the typical graph for global air temperature that shows-up for most searches [0]. Not only does this not have any indication of measurement and propagated errors, it also resorts to calculating the temperature anomaly with respect to the average from 1961 onward rather than the entire period. Th graph would look very different if the average from 18xx onward was used. In fact, we would likely have to explain why and how everything from the 1920's and beyond is red.
You will occasionally find graphs that do seem to compare to the average of all data [1]. This one, of course, looks a lot less "violent" than the other presentation. Using a late average pushes 75% of the graph into "it was cold" territory and makes it look like things went to hell after about 1980. One should not be blamed for thinking that one approach fits a desired narrative far better than the other.
Anyhow, not sure what else to say. I am not convinced I am right. In order to get there I would have to do weeks of work reverse engineering the data and methodologies. No point in doing that. I am naturally very skeptical --which, I think, is a good thing-- so I'll stick to not being happy with the way things have been presented so far and hope to find something better in the future.
[0] http://hyperphysics.phy-astr.gsu.edu/hbase/thermo/imgheat/gl...
[1] http://hyperphysics.phy-astr.gsu.edu/hbase/thermo/imgheat/te...
I'm not sure I understand this. Are you talking about something like the number of significant figures in the naive arithmetic mean being that of the individual measurement with the fewest significant figures (which is more or less expected)? Or are you talking about some loss of significant figures beyond that?
Papers describing models generally go into some amount of detail describing the precise averaging/interpolation/etc. methods and associated statistical analysis (e.g., [0, 1] for Berkeley Earth's model). If there are errors regarding the uncertainty analysis, that's where you're likely to find them.
> You would literally have to have accuracy and precision information on each sensor and for each measurement to then be able to propagate all of this carefully. Furthermore, you really need to know the standard deviation in order to understand the uncertainty in the measurements.
Is having that information that unbelievable, especially for scientific instruments? The field of metrology exists for a reason, and it's not like the need to understand the accuracy and precision of instruments is a recent concern.
In addition, as I linked above and also in [2], uncertainty analyses for models do exist, and measurement uncertainties are absolutely taken into account.
> What would the graph presented in the article look like with error bands? Don't know.
A plot of the global annual land temperature anomaly over time [3] is present in the GISTEMP uncertainty analysis paper I linked. I'd expect that similar graphs could be found in relevant papers for other models.
> so I'll stick to not being happy with the way things have been presented so far and hope to find something better in the future.
For better or worse, presentation is a tradeoff. Simpler graphs are easier to digest for the average person, but lack the nuances someone like you might be looking for. More detailed graphs are (sometimes?) present in papers, but the average person isn't likely to come across those.
Communication is hard.
[0]: https://berkeleyearth.org/static/papers/Methods-GIGS-1-103.p...
[1]: https://berkeleyearth.org/static/pdf/methods-paper-supplemen...
[2]: https://www.st-andrews.ac.uk/~rjsw/papers/Brohan-etal-2006.p...
[3]: https://agupubs.onlinelibrary.wiley.com/cms/asset/a68bb281-c...
The ugly truth is that people are quite willing to let other people die or simply to live in abject poverty to preserve their way of life, even if it's just temporarily.
We've seen it with Covid: a significant number of people won't get a vaccine with, at best, extremely minor risks of side effects, certainly much less than driving a car or flying on a commercial airplane, or wear a mask even though it demonstrably hampers transmission.
There are a multitude of reasons for this (both Covid and climate change). It's a scary situation. Historically, it's better to bet against the Mayans: the Mayans predicted the end of the world so what is the point in betting they're right because the world ends. For some, it's simply easier to pretend none of this is happening. But a lot of people are just struggling to get by.
There are two things we need to do to actually address climate change, in my opinion:
1. We need to elevate the standard of living of the baseline of people such that they aren't struggling, they aren't living paycheck-to-paycheck and they aren't at constant risk of financial ruin (eg unexpected medical expenses). People will care about these things when they aren't completely focused on basic needs like food and shelter.
A key part of this is that the ultra-wealthy need to start paying for the politically stable world that made their wealth possible and continues to do so. The ultimate form of wealth redistribution is war and revolution and nobody wants that.
2. The solution to emissions is economic not altruistic. You want to replace fossil fuels for energy? You need something cheaper. Nothing else matters.
So, as for the warning signs in this post: I can't speak to how meaningful they are. I am 100% convinced however that it doesn't matter because no one will listen or, more importantly, change their behaviour to a sufficient degree.
I am always skeptical of "the sky is falling" predictions however. Climate, in particular, has a bad track record for failed predictions. The Earth has been around for 4+ billion years and it's been a lot warmer than it is now, even very recently (ie within the last 100,000 years) so I'm skeptical about claims of runaway climate change, as just one example.
4 billion years is a long time for runaway conditions to occur naturally. We simply don't have adequate knowledge of what mechanisms will kick in in extreme conditions.
oh wait, this is driven from countries with a lower value on human life so I guess this explains it....
This is for sure happening. The huge push to electric cars for example is because we must get off oil. Not because of climate change but rather practicality. We have ~50 years of oil left. Today people are driving around in 20 year old rust buckets. Those people aren't buying EVs until they have had a good time depreciating. So we're decades from true adoption. Long before that we are going to have oil prices skyrocket due to scarcity. Iran is talking nuclear deals because they ran out of oil. Or at least oil they can access.
More importantly, even russia and china are siding with the usa and eu saying iran is the one in need and needs to change. It's hard to predict what is about to come about their nuclear talks. Afterall, Iran is basically in an economic depression right now. Their inflation is trucking around 50% annual. Their prime lending rate is ~18%. This is what happens post-oil if you haven't moved your economy off of oil.
>and having the rich spread the wealth and caring about others....
Are they not? The rich effectively pay for the government. The net-benefits to the non-rich are greater than they pay in taxes. The rich are who pay for everything and are spreading their wealth.
>oh wait, this is driven from countries with a lower value on human life so I guess this explains it....
The poor person in those undeveloped parts of the world arent even driving 20 year old rust buckets. They are operating with like 2 cycle motors that barely function. The sooner we move away from oil, the less likely there's a huge economic fall out for others later.
Must I take the science on trust?
Are you personally sensitive to small average temperature changes over decades?
But this is really a question about the science. And we do know that they a/ don't have a perfect record, and b/ edit the historical record they have.
https://web.archive.org/web/20160322230859/http://blogs.tele...
"Attempts to disguise the inconvenient truth of the Medieval Warm Period (MWP): ……Phil and I have recently submitted a paper using about a dozen NH records that fit this category, and many of which are available nearly 2K back–I think that trying to adopt a timeframe of 2K, rather than the usual 1K, addresses a good earlier point that Peck made w/ regard to the memo, that it would be nice to try to “contain” the putative “MWP”, even if we don’t yet have a hemispheric mean reconstruction available that far back…."
(Fwiw, these sorts of articles are hard to find. All you can easily find online is confusing info, eg https://en.wikipedia.org/wiki/Climatic_Research_Unit_email_c... is an exercise in obfuscation)
https://www.projectveritas.com/news/part-1-cnn-director-admi...
> It [COVID] will taper off to a point that it's not a problem anymore. Climate change can take years, so they'll [CNN will] probably be able to milk that quite a bit…Climate change is going to be the next COVID thing for CNN…Fear sells
Some other factoids:
- 20,000 years ago an ice sheet covered a large portion of North America
https://en.m.wikipedia.org/wiki/Laurentide_Ice_Sheet
- 10,000 years ago the Sierra was green
https://www.smithsonianmag.com/science-nature/what-really-tu...
- generally, I agree with world is warming. Is that bad? I’m actually unsure. There’s a lot more data on this; it’ll definitely Impact our lives — but is there anything we can do about it? Seems like a trend going back tens of thousands of years.
>generally, I agree with world is warming. Is that bad? I’m actually unsure.
The eemian period was around 115,000 years ago. https://en.wikipedia.org/wiki/Eemian
It was about 2 celcius warmer compared to today. Sea levels were ~6-9 metres higher. Which puts significant amount of current day valuable land under water. Flipside, this increase in warming also unlocks significant parts of the Canadian arctic.
https://en.wikipedia.org/wiki/Eemian#/media/File:All_palaeot...
You can also see that it's always sudden spikes up to peaks. I suspect it's related to solar cycles.
https://en.wikipedia.org/wiki/Dalton_Minimum
When the solar cycle ended in ~1820 and we went into the https://en.wikipedia.org/wiki/Modern_Maximum
This is also why so many graphs showing climate change tend to start around 1820. Including data before 1820 would just muddy their conclusions.
What's there to question? The carbon credits markets that are being implemented definitely won't be manipulated by Wall Street like the commodities markets are.
Nothing at all could go wrong with financializing periodic elements and allowing entities like Goldman Sachs to create carbon credits out of thin air.
For carbon markets to work properly there would need to be industrial processes that pull CO2 out of the atmosphere at a price per ton. Companies would then pay those companies to remove the CO2 they release at that price point. Multiple companies could compete to be the most efficient at removing CO2 and taking the largest share of the market. But it has been 30 years now and we still don't have a supply side to the market beyond some penny ante tree planting and research projects.
What we’ve already done is likely to prevent the next cold period, even if we stop emitting completely tonight.
What we’re doing now under the “business as usual” scenario is about the same scale of impact as that cycle, but in addition.
Also the main gas, CO2, demonstrably makes us significantly dumber in the concentrations we expect from a business-as-usual scenario.
And yes, there are things we can do about it, and are doing some of those things. The better question is: can we make it profitable to do enough about it, because the greenhouse gases hang around so long it is not sensible to hope for altruistic solutions.
Why should I take anything that comes out of Project Veritas seriously when they have a long track record of lying or putting so much spin on a story that it flies apart?
Project Veritas is currently suing everyone who makes those claims and has yet to lose. NYT in particular has done some insanely shady stuff
https://m.youtube.com/watch?v=BvRaQk5yeao
Just listen to the CNN employees own words, you don’t even have to assume project veritas is doing anything. It’s pretty clear.
https://www.sourcewatch.org/index.php/Project_Veritas
https://www.politifact.com/factchecks/2021/nov/09/project-ve...
https://www.newschannel5.com/news/fact-check-political-video...
https://www.usatoday.com/story/news/factcheck/2020/10/16/fac...
https://firstdraftnews.org/articles/project-veritas-amplifie...
https://www.logically.ai/factchecks/library/22a2b3a9
https://www.politico.com/magazine/story/2018/05/04/james-oke...
https://www.businessinsider.com/james-okeefe-project-veritas...
https://www.snopes.com/news/2016/10/18/project-veritas-elect...
https://ballotpedia.org/Project_Veritas
It is harder to find cases where they aren't spinning bullshit. I put a huge variety of sources in here just to hammer home the fact that pretty much every time someone tries to fact check a Project Veritas story it falls apart. He is a master of the out-of-context clip and the disingenuous talking point. He doesn't care about objective reality in the least, only pushing his political position. It is hard to overstate just how shameless O'Keefe is. Only a fool would take his statements at face value.
Every single news outlet by necessity clips news stories. Thus far, project veritas appears better than most, but I agree not perfect. I don’t think anything linked here provides more support to your claims. Particularly as several are currently involved in defamation lawsuits and are almost entirely opinion.
Literally, the argument here is the opinion of those being investigated by project veritas is that project veritas fake lol