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Explaining the world one sketch at a time

An employee is flummoxed by a set of opinions without data about how to proceed on a project

Without data you're just another person with an opinion

Data avoids arguments. So does the willingness to seek out data. If none of us has data to share then we can't help but bring our own personal biases, preferences, and opinions to the table — anyone might be right, but who's to say (often the HiPPO: the Highest Paid Person's Opinion)? It's why I love this quote from W. Edwards Deming: "Without data you're just another person with an opinion." Perhaps you've been in a car with several backseat drivers who all seem to know better than the driver. Or maybe you've been part of a review for a new initiative where everyone has their own views of what will make it succeed. Or a discussion on what's driving some unexpected behaviour. We can't know who's right until we bring some data. It's amazing how even a little data can avoid an "I'm right, you're wrong" situation. And where there isn't data, framing a discussion on how to quickly gather data or experiment to find out which approach may be best so often focuses a team, removing ego and opinions. After all, as Jim Barksdale, former Netscape CEO said: "If we have data, let's look at data. If all we have are opinions, let's go with mine."
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What is attribution bias example explained: a parent consoling a child and correcting their attribution of winning and losing to the situation and actions not to personal traits

Attribution bias

Attribution bias includes a set of more specific biases where we may attribute behaviour to fixed personality traits or characteristics of a person rather than specific circumstances or actions. For example, a child may be labelled a genius or gifted when they actually had a supportive environment and worked hard, or someone may be labelled a loser rather than recognising specific circumstances that led to some failures. Criticism — one of the four horsemen of relationship apocalypse — can become toxic when it's attributed to someone's personality traits. For example, calling someone 'lazy' rather than sharing how it makes you feel when they don't keep the place tidy. A form of attribution bias may be applied to whole societies via the Destiny Instinct. Specific examples of attribution bias include the fundamental attribution error and self-serving bias.
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When to use advise vs advice, licence vs license, practice or practice explained. Fellow devising a device as a way to illustrate how Devise, Advise, License, and practise (with an s) are all verbs in British English and device, advice, licence and practice (with a c) are all nouns

Advise vs advice and other s and c's

Is it advise or advice? Devise or device? And if you're using British English, license or licence, practise or practice? Verb vs noun Handily, the general practice is to use an 's' for the verb, and a 'c' for the noun. So advise is something you do, and advice is something you give. In American English, there is only license and practice for both verbs and nouns. However, in British English, you would you use license if you were licensing someone and what they received would be a licence — with a 'c'. And in British English, you would practise when you went to practice. Tips to remember - se or -ce Some places suggest thinking of the '-ice' at the end as ice, which is a noun. A reader suggested another way to help me remember it think of: rise, which is clearly a verb, and rice, which is clearly a noun. Whatever works for you. License/licence and practise/practice are homophones Also see: stationary and stationery compliment and complement affect and effect
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The two primary temperature scales of Celsius and Fahrenheit side-by-side calling out water freezing, body temperature and water boiling

Temperature Scales: Fahrenheit and Celsius

It's remarkable to think that for most of human history, there was no standard way to describe how hot or cold something was. The invention of temperature scales made it possible to quantify temperature in science, medicine, and daily life. The two most widely used temperature scales worldwide are the Celsius and Fahrenheit scales. Most of the world uses the Celsius scale. The US is the main, though not the only, user of the Fahrenheit scale. What is the Celsius Scale? The Celsius scale, named after Swedish astronomer Anders Celsius, sets 0°C at the freezing point of water and 100°C at the boiling point of water at standard atmospheric pressure (sea level). What is the Fahrenheit Scale? The Fahrenheit scale sets 32°F as the freezing point of water and 212°F as the boiling point, creating a span of 180°F between the two. This means that each degree Celsius equals 1.8 degrees Fahrenheit. There are several stories about how Daniel Fahrenheit developed the scale. The general idea is that he chose: 0°F at the freezing point of a salty brine solution 32°F at the freezing point of pure water and another point at body temperature around 96F (now 98.6F) He divided up the scale between these points, giving a scale with helpful resolution and practical reference points. Quick Tricks to Convert Between Fahrenheit and Celsius Having lived on both sides of the Atlantic, I've tried to get somewhat familiar with both temperature scales. To convert between them in my head, at least around most air temperatures, I use a quick approximation. To go from Fahrenheit to Celsius Subtract 32, then divide by 2 (or slightly less for better accuracy) As 32°F is 0°C, and for each one Celsius you move almost two Fahrenheit, you can roughly go from Fahrenheit to Celsius by subtracting 32 and dividing by 2 (or a little less to be closer). So, for example: 50°F is approximately 9°C (actually 10°C), 86°F is approximately 27°C (actually 29.4°C). To go from Celsius to Fahrenheit Use the reverse: Multiply by 2 and add 32. 10°C --> 52°F (actually 50°F) 30°C --> 92°F (actually 86°F) It's not perfect, but it's often good enough if you need to work out if it'll be hot out. Temperature Twins There are also at least two simple anchor points that can help just by swapping the digits around: 82°F is near enough 28°C 61°F is near enough 16°C Not only do they mirror each other visually, but the conversions are surprisingly accurate. The Kelvin Scale Both Fahrenheit and Celsius are now defined relative to the Kelvin scale—a temperature scale used in science that sets absolute zero (0 K) as the lowest possible temperature, where molecular motion essentially stops. Zero on the Kelvin scale is around -273°C. As such, the Kelvin scale, though helpful for scientists, is not very practical for discussing the weather. Related Ideas to Temperature Scales The Fun Scale: three types of fun The Bortle Scale: the clarity of the night sky The Scoville Scale: chilli heat The Goldilocks Zone: the circumstellar habitable zone just right to support liquid water Heat Islands: urban areas with higher temperatures than surrounding rural areas with more greenery Weather and Climate: an analogy It's not the Weather, it's the Unpredictability Word Spectrums
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Astronomer watching the light of one star moving away being redshifted and one star moving towards being blueshifted

Redshift

Redshift refers to light being 'shifted' towards the redder end of the spectrum — longer wavelengths — as objects move away from each other. If a light source is moving towards us then light is blueshifted, shifting towards the bluer end of the spectrum, shorter wavelengths. Imagine waving a spring back and forth to create a wave and then starting to run away – the waves would be stretched longer. Because the universe is expanding 🤯 distant galaxies are moving away from us faster than nearer ones — imagine how the chocolate chips in a cookie move away from each other as the cookie bakes and grows in an oven. By comparing the redshift of light seen from distant galaxies with what we would expect to see it's possible to use redshift to determine how far they are away. Redshift is an example of the Doppler effect, or Doppler shift, in action. It's more commonly known by the stretching or compressing of soundwaves as, say, an ambulance moves towards or away from you, or how the sound in front of a moving aircraft eventually can produce a sonic boom.
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What is Optimism bias example explained: A stunt rider overestimates their chance of leaping a canyon thanks to optimism bias. Various onlookers gasp. "Huh" says the rider

Optimism bias

Optimism bias is believing things will turn out well despite past evidence or circumstances. It can be extremely helpful. It allows us to attempt things that many may deem impossible. It probably helps motivate entrepreneurs even when everyone doubts them. Optimists are often healthier and happier. But it can also undermine us. We might overestimate our chances of success because of what we want to happen rather than what's likely to happen. We may feel pressure from others to give a rosier outlook — like when you might underestimate a timeline when speaking with your boss. We might want others to succeed, or they may be paying us money and hoping for good news. We probably think we'll get more done next week. We probably think we'll be more disciplined than we will be. We might think that this time it'll be different or that everyone can't be wrong. Or we may be just discounting evidence without realising it. May your optimism be well-founded. Related Ideas to Optimism Bias Related: Hofstadter's Law Survivorship bias Kitty Hawk moment Optimism bias print with a little colour
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