Delta 10 is a leading supplier of scientific research equipment. We sell laboratory supplies, lab equipment, distillation glassware, chemicals, solvents and reagents for the chemical, pharmaceutical and biotechnology industries. Delta 10 also carries laboratory equipment for research laboratories. Our products are used in university laboratories and research labs.

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This is an experiment called Delta 10. It’s the first experiment in a series of experiments we’re running to understand how people perceive delta-9-tetrahydrocannabinol (THC).

We are studying the effects of different ratios of THC and cannabidiol (CBD) in cannabis on human cognition, mood, and behavior. We’re also looking at how these cannabinoids affect the gut microbiome.

This study is completely anonymous. At no point will you be asked to give your name or any other identifying information. You may be invited to participate in other studies as part of this research, but you will always have the option to opt out of any future studies or leave the study at any time without penalty.

Where Does Delta 10 Come From

Delta 10 uses cannabis flowers with different cannabinoid ratios and asks you to report what you feel when you use it. To complete Delta 10, you’ll need two vaporizers that can vaporize cannabis flowers (such as a Volcano or Arizer Solo 2) and an iPhone that can run iOS 13+.

So far I have been talking about research as if it were something pure and abstract, a Platonic realm of ideas. But science is supposed to be about making discoveries–discoveries that have practical applications. In practice, therefore, scientific research is always performed with an eye to some practical outcome. There will usually be some kind of product or service or process coming out at the end that people will pay for.

Delta 10 Scientific Research

Since the purpose of scientific research is ultimately commercial, it is funded by companies and by governments. That means that in practice there will be certain kinds of research that get funded and certain kinds that don’t. And this in turn means that even scientists working on pure science are always under some pressure to produce results with a potential application, at least somewhere down the road.

This is not necessarily bad. There are plenty of useful scientific discoveries that would never have been made without such pressure: Edison’s light bulb might be the most famous example. But it isn’t necessarily good either. As we shall see, applying such pressure almost certainly increases the number of useful discoveries a given amount of money will produce; but it also increases the risk from each one.

From the perspective of individual scientists, who often have to struggle to get a paper published, it seems natural to think of scientific work as consisting of one researcher going up against nature, like a lone gunslinger in the Wild West.

But in reality, scientific research is a group activity. Researchers are always collaborating, and they are also embedded in a larger social context. The modern lab is the descendant of the medieval monastery; monasteries were where manuscripts were copied and preserved, and over time they became centers of scholarship in their own right. In much the same way that monks organized themselves into orders with different specialties, today’s scientists are organized into fields and subfields, each with its own convention for how work should be done.

There is an uncomfortable tension between science’s idealism—the vision of disinterested researchers advancing knowledge for its own sake—and the reality. Individual scientists must compete for attention and resources if their work is to have any impact. The process of reviewing papers can seem arbitrary or even hostile from the perspective of individual scientists; from an institutional perspective it is necessary to keep out bad papers. And while researchers may try to make sure their findings fit together with those of others in their field, they also want their work to be original enough.

But in a scientific field, the default assumption should be that you’re wrong. No matter how smart you are, no matter how much experience you have, and no matter how good your judgment is, you’re probably more wrong than right. The best you can do is say how likely it is that you’re wrong, so people can make their own judgments about what to believe.

A startup lets one person make all the decisions. But a scientist is just one voice among many. If he or she wants to convince other scientists to work on something, or funders to pay for it, they need to explain why it’s worth doing. So there’s pressure on them not to oversell their ideas.

It’s a huge benefit of science that it keeps people honest. It doesn’t guarantee they’ll be right, but it at least makes them try to find holes in their own ideas before presenting them as truths.