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Truly answering the questions at random would logically give an accuracy rate of around 50% for “yes” or “no” questions but that is not seen in the results of these trials. Dr Vince Polito, a co-author of the study from CCD, told BuzzFeed News that people are unable to switch off their automatic response mechanism even when motivated by money or placed under time constraints.
“You know you’re in love when you can’t fall asleep because
reality is finally better than your dreams.”
The researchers found that hypnotising participants successfully inhibited their automatic tendency to correctly answer the easy questions.
Remember that a blockchain is an immutable, sequential chain of records called Blocks. They can contain transactions, files or any data you like, really. But the important thing is that they’re chained together using hashes. If you aren’t sure what a hash is, here’s an explanation. Who is this guide aimed at? You should be comfy reading and writing some basic Python, as well as have some understanding of how HTTP requests work, since we’ll be talking to our Blockchain over HTTP.
What do I need? Make sure that Python 3.6+ (along with
pip) is installed. You’ll also need to install Flask and the wonderful Requests library:
pip install Flask==0.12.2 requests==2.18.4
Oh, you’ll also need an HTTP Client, like Postman or cURL. But anything will do. Where’s the final code? The source code is available here.
In 2017, enterprise blockchain was heavily focused on the financial industry (around 80% PoCs) as a means to disintermediate the fractured lines of communication between parties and to build out confidence in data. These were the main proponents of blockchain’s immutable ledger where companies saw an opportunity to revamp storing, maintaining and sharing records in a dynamic way. 2018, however, marked a shift away from financial use-cases as a growing need for stable regulatory frameworks took precedent. Instead, we observed a surge of interest in a number of industries including Manufacturing and Natural Resources, Healthcare, and Communications & Media services.
Open up your favourite text editor or IDE, personally I ❤️ PyCharm. Create a new file, called
blockchain.py. We’ll only use a single file, but if you get lost, you can always refer to the source code.
We’ll create a
Blockchain class whose constructor creates an initial empty list (to store our blockchain), and another to store transactions. Here’s the blueprint for our class: Our
Blockchain class is responsible for managing the chain. It will store transactions and have some helper methods for adding new blocks to the chain. Let’s start fleshing out some methods. Each Block has an index, a timestamp (in Unix time), a list of transactions, a proof (more on that later), and the hash of the previous Block. At this point, the idea of a chain should be apparent—each new block contains within itself, the hash of the previous Block. This is crucial because it’s what gives blockchains immutability: If an attacker corrupted an earlier Block in the chain then all subsequent blocks will contain incorrect hashes.
Here’s an example of what a single Block looks like: This successful response to the Clever Hands test highlights a potential for hypnosis in “treating addictions or compulsive behaviours, where people don’t feel like they’re able to inhibit very ingrained responses”, said Polito.
One 2002 study demonstrated that by hypnotising participants and suggesting that the language that appears on a screen is foreign and they are unable to understand it, the Stroop effect is overcome and participants will correctly name the font colour. However, while Polito states that there is a general consensus in the hypnosis field that this experiment gave true results, there are some controversies attached to the Stroop effect study, with some failures to replicate its results.
The ability to be hypnotised (hypnotisability) varies across the population.
Approximately 10-15% of people are known as “high hypnotisable” and they will experience alterations in perception, cognition, memory and action while under hypnosis. Another 10-15% are “low hypnotisable” and these are people who experience almost nothing in response to suggestion. Polito’s greatest concern with Australia’s lack of hypnosis regulation is that this may undermine the benefits of the practice that science is uncovering. “It’s concerning as a scientist studying hypnosis thinking ‘This is an important and interesting phenomenon’. The kind of negative associations around hypnosis make it harder to have this work taken more seriously.”