We have always had to deal with gossip, rumor, hearsay and propaganda. You may have heard it being called misinformation and disinformation. Now, the pace at which digital systems have grown and the way in which they are being manipulated is harmful to general well-being and your individual health.
Fortunately, all information can now travel at much greater speed and scale, including accurate and helpful information.
Technology has transformed the way we see our reality. We create things online, access it digitally, and share things within a few heartbeats. This data can travel across the globe in milliseconds.
By accident or design, our digital ecosystem has led the ideal conditions for a huge increase in information – much of which is factually incorrect. This leads to significant harm offline, especially because digital literacy and digital policy are both currently unable to keep up with the pace of change.
This doesn’t even begin to explain the topic of inaccurate health data. Read more about the implications of inaccurate and “slice of life” health data analytics, provided by LLIF software users.
To fully understand the difference between these two very similar words, let’s take a trip back to school-days and learning prefixes, suffixes, root words and other word components. After reading through it, you may agree that it can be summed up as follows: mis- implied accidental wrong-doing, dis- implies deliberate wrong-doing.
Both misinformation and disinformation can include a wide variety of online media and content. What’s most important to understand about inaccurate information like this, most information available online is from a biased provider.
1a : badly : wrongly misjudge
b : unfavorably misesteem
c : in a suspicious manner misdoubt
2 : bad : wrong misdeed
3 : opposite or lack of mistrust
4 : not misknow
Misinformation is false and often harmful information, which is not shared with malicious intent.
1a : do the opposite of disestablish
b : deprive of (a specified quality, rank, or object) disfranchise
c : exclude or expel from disbar
2 : opposite or absence of disunion disaffection
Disinformation is false and malicious information, which is shared deliberately to cause harm.
The intentional or unintentional influencing of a study and its results is called bias.
Often subjected to for-profit investors, limited funding as non-profit, and other variables, many scientific studies are made less dependable by bias. Bias can occur in a number of different ways and it is important for everyone to be aware of this effect. Below are a few of the more common sources of bias.
Confirmation bias is a type of bias that may occur during the interpretation of study data when researchers, consciously or unconsciously, look for information or patterns in their data that confirm the ideas or opinions that they already hold.
When people are asked to answer questions about things that happened in the past, one must rely on the respondents’ memories of the past. Everyone remembers things differently, or not at all. Even leaving out the variables of “smells improve memory retention” and other nuances, having someone remember something is not the best way to conduct a high-impact study. This, is recall bias.
Using mood trackers, symptom trackers, health monitors and other software technology provides more accurate information. How can you consolidate all of it though? How do you make sense of all of this information?
Populations are seldom represented equitably, though significant effort is put into leveling that impact. This is called sample selection bias.
Sometimes a “filtered down” view of people with similar characteristics is helpful though. If you are checking out what other people in your area are allergic to during a specific time of year, you would appreciate a little selection bias.
Observation bias occurs when participants in a study are aware that they are being observed by others. This almost always has an impact, consciously or unconsciously.
Studies with negative findings (like clinical trials in which no significant results were found) are less likely to be submitted by scientists, and even less likely to be published by peer-reviewed journals because they are perceived as less interesting.
These ‘negative’ results are as important for understanding a scientific topic as significant results are, but they are less likely to be published. This can skew our understanding of a topic because, for example, when carrying out a review or an analysis on a new treatment, if this type of data is missing, it can make it seem like a treatment is more or less effective than it actually is. This, is called publishing bias.
What if there was a way to remove most of the bias from information we have? What would we see?
Access to unbiased information is expensive and requires more than a small amount of software capabilities. The Live Learn Innovate Foundation provides unbiased, safe, and private software for people to improve their decision-making. We provide it for free and hope to keep doing so.
Help us, and help a countless number of people just like you, your family, and your community.
There is a lot of profit to be had by the abuse of information. It’s the primary reason why the Live Learn Innovate Foundation decided to be founded under the legislative regulations of being a nonprofit. It’s the highlest level of asset security available when it comes to conducting business within the United States.
In case we are wrong, we challenge you to find another software as a service provider doing what we do, under a nonprofit legislative set of rules. Take it as our source of bias- we are biased to protect the stuff you trust us with.
This headline explains it all. Withholding symptom and health analytics data, and using a for-profit model to distribute health analytics, leads only to disaster.
Imagine looking for a job, knowing someone down the street is hiring, having seen your friends mention the ad on social platforms.. but never seeing it yourself?
Digital advertising models are built around getting us to click links and visit pages where adverts are served, usually through major companies like Google, Facebook, Apple, Amazon, and others. This does a few things:
It is okay that we have grown as society, as human-beings. Now, it’s time to grow further and improve. Instead, we are provided disinformation and other unscrupulous content to influence our opinions towards things that benefit the providers of this information.
From the dawn of mankind, we have shared our feats of innovation with one another – and there has been massive benefit.
Fire, to warm ourselves and our families, to cook our food and help us grow. Aqueducts, to spread water across large swathes of land that would be otherwise unable to accommodate a growing community. Celestial navigation, as one part of the planet has a different view of the sky than another, and that gap was bridged with collaboration.
We reached the moon with insights and collective intelligence gained from centuries of mathematicians leaving their findings to everyone to prove, expand upon, and grow from.
There is always provider bias. it’s a known issue in many situations but all of those situations have a for-profit foundation. Why is something being provided? Asking that question first will set you in a mindful direction.
Digital ad spend is 66.7% of all ad spend, including traditional media like billboards.
Who do you think is being advertised to?
We have the opportunity to instantly collect important information over vast distances for the first time in recorded history. You do not have to take the information provided to you by a biased source. You can view all of this information and learn things completely new. That’s just the beginning.
Your family is going to benefit from improved independence as they age. You will have more peace of mind knowing the media habits and their impact on your family’s well-being. You will finally have a personal relationship with your retail providers online, just like it should be in person.
Your children’s education will improve with less budget focused on for-profit information providers. Your healthcare analytics will improve with accurate health monitor data over time, instead of “slice of life” once annual measurements. Chronic conditions may be completely manageable, or cured. The impact of public policy can be measured and improved with real data. You deliberately control your participation in this type of information management, without community, legislative, or financial pressure.
Predictive analytics leading to decision support will empower you and your community to avoid uninformed decisions, mitigate events with negative consequences, and promote situations with positive outcomes. Even small improvements in decision making have enormous benefits to physical health, mental health, financial savings, and so much more.