2) There is no scientific consensus that global warming is occurring and caused by man: Questions are not decided by "consensus." In fact, many scientific theories that were once widely believed to be true were made irrelevant by new evidence. Just to name one of many, many examples, in the early seventies, scientists believed global cooling was occurring. However, once the planet started to warm up, they changed their minds. Yet, the primary "scientific" argument for global warming is that there is a "scientific consensus" that it's occurring. Setting aside the fact that's not a scientific argument, even if that ever was true (and it really wasn't), it's certainly not true anymore. Over 31,000 scientists have signed on to a petition saying humans aren't causing global warming. More than 1000 scientists signed on to another report saying there is no global warming at all. There are tens of thousands of well-educated, mainstream scientists who do not agree that global warming is occurring at all and people who share their opinion are taking a position grounded in science.
3) Arctic ice is up 50% since 2012: The loss of Arctic ice has been a big talking point for people who believe global warming is occurring. Some people have even predicted that all of the Arctic ice would melt by now because of global warming. Yet, Arctic ice is up 50% since 2012. How much Arctic ice really matters is an open question since the very limited evidence we have suggests that a few decades ago, there was less ice than there is today, but the same people who thought the drop in ice was noteworthy should at least agree that the increase is important as well.
4) Climate models showing global warming have been wrong over and over: These future projections of what global warming will do to the planet have been based on climate models. Essentially, scientists make assumptions about how much of an impact different factors will have; they guess how much of a change there will be and then they project changes over time. Unfortunately, almost all of these models showing huge temperature gains have turned out to be wrong.
Former NASA scientist Dr. Roy Spencer says that climate models used by government agencies to create policies “have failed miserably.” Spencer analyzed 90 climate models against surface temperature and satellite temperature data, and found that more than 95 percent of the models “have over-forecast the warming trend since 1979, whether we use their own surface temperature dataset (HadCRUT4), or our satellite dataset of lower tropospheric temperatures (UAH).”
There's an old saying in programming that goes, "Garbage in, garbage out." In other words, if the assumptions and data you put into the models are faulty, then the results will be worthless. If the climate models that show a dire impact because of global warming aren't reliable -- and they're not -- then the long term projections they make are meaningless.
5) Predictions about the impact of global warming have already been proven wrong: The debate over global warming has been going on long enough that we've had time to see whether some of the predictions people made about it have panned out in the real world. For example, Al Gore predicted all the Arctic ice would be gone by 2013. In 2005, the Independent ran an article saying that the Artic had entered a death spiral.
Scientists fear that the Arctic has now entered an irreversible phase of warming which will accelerate the loss of the polar sea ice that has helped to keep the climate stable for thousands of years....The greatest fear is that the Arctic has reached a “tipping point” beyond which nothing can reverse the continual loss of sea ice and with it the massive land glaciers of Greenland, which will raise sea levels dramatically. Of course, the highway is still there.
Meanwhile, Arctic ice is up 50% since 2012. James Hansen of NASA fame predicted that the West Side Highway in New York would be under water by now because of global warming.
If the climate models and the predictions about global warming aren't even close to being correct, wouldn't it be more scientific to reject hasty action based on faulty data so that we can further study the issue and find out what's really going on?