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Friday, July 12, 2024

"We see what we want to see" -- Sermon

 The saying "We see what we want to see" captures the idea that our perception is influenced by our desires, expectations, and biases.  Here's a breakdown of this concept:

Factors Shaping Our Perception:

    Motivation and desires: We are more likely to notice things that align with our current wants and needs. A hungry person might be more drawn to advertisements for food, while someone looking for a new car might see more cars on the road than usual.


    Expectations and beliefs: What we expect to see can influence what we actually perceive. If you believe a friend is going to be mad at you, you might misinterpret their facial expressions as anger, even if they're neutral.


    Confirmation bias: As discussed earlier, we tend to favor information that confirms our existing beliefs and downplay information that contradicts them. This can lead us to selectively focus on details that support our expectations and miss things that don't.

Psychological Mechanisms:

    Top-down processing: Our brain doesn't passively receive information from our senses. Instead, it actively interprets and constructs our perception based on past experiences, expectations, and knowledge.


    Attention: We can't focus on everything at once, so our attention is drawn to specific things based on our priorities and motivations. This selective attention shapes what we consciously perceive.

Examples:

    Optical illusions: These illusions exploit how our brain interprets visual information, leading us to see something different from what's actually there.

        Mirage


    The placebo effect: If you believe a pill will make you feel better, even a sugar pill (placebo) can produce positive effects because your expectation influences your perception of your symptoms.


    Confirmation bias in everyday life: Imagine two friends watching the same movie. One expects it to be funny, the other expects it to be boring. They might focus on different scenes and walk away with completely different impressions of the movie.

Limitations:

    Not everything is subjective: While our desires and biases influence perception, there's still an objective reality out there. A red car is still red, even if you're not looking for one.


    Individual differences: The extent to which our desires and expectations influence perception varies between people. Some individuals are more susceptible to confirmation bias than others.

Understanding this concept can help us:

    Be more mindful of our biases: By recognizing how our desires and expectations can shape what we see, we can be more critical of our own perceptions.


    Communicate more effectively: When someone seems to "see" something different from us, it might be due to their unique perspective. Consider their motivations and biases to bridge the gap in understanding.


    Appreciate the complexity of perception: Our perception is not a simple recording of the world around us. It's a complex process shaped by our internal world as well as the external environment.

Every day we make countless judgments about certainty,

Often without even realizing it. These judgments rely on a combination of factors and can be influenced by various biases. Here's a breakdown of how we navigate certainty in daily life:

Sources of Certainty in Everyday Judgments:

    Sensory experiences: Seeing is believing! We often base our certainty on what we directly perceive through our senses (sight, touch, taste, smell, hearing). A hot cup feels hot to the touch, solidifying our belief in its temperature.


    Prior knowledge and experience: Past experiences shape our expectations and influence our judgments. If you've always used a certain brand of cereal and found it crunchy, you're likely certain the next box will be crunchy too.


    Logical reasoning: We use logic to connect the dots and draw conclusions. If it's raining outside and your windows are open, you're pretty certain your room will get wet.


    Information and evidence: News reports, expert opinions, and scientific data can all contribute to our certainty about a particular topic. Reading a weather forecast that predicts rain increases your certainty of needing an umbrella.


Biases that can Affect Certainty Judgments:

    Confirmation bias: We tend to favor information that confirms our existing beliefs and downplay information that contradicts them. This can lead to overconfidence in our judgments.

Confirmation bias is a powerful force that can significantly impact our everyday judgments of certainty. Here's a deeper dive into this concept:

How Confirmation Bias Works:

    Starting Point: We all begin with existing beliefs, experiences, and biases that shape how we view the world.


    Information Seeking: When seeking information, we tend to gravitate towards sources that confirm our existing beliefs. We might follow news outlets or social media feeds that align with our views, or focus on specific details within a broader piece of information that support what we already think.


    Information Processing: Once we find information that confirms our beliefs, we readily accept it and assign it more weight. On the other hand, information that contradicts our beliefs is often discounted, misinterpreted, or even ignored entirely.


    Strengthened Certainty: The cycle reinforces our existing beliefs, leading to a heightened sense of certainty about them. We might feel like we have strong evidence to support our views, even if it's a one-sided perspective.

Consequences of Confirmation Bias:

    Overconfidence in Judgments: We become overly confident in the correctness of our beliefs, even if the evidence is limited or flawed. This can lead to poor decision-making and a resistance to considering alternative viewpoints.


    Polarization of Opinions: Confirmation bias can create echo chambers where people are only exposed to information that confirms their existing beliefs. This can lead to increased social and political polarization.


    Missed Opportunities: By focusing only on confirming information, we might miss out on valuable insights and perspectives that could challenge our assumptions and lead to personal growth.

Overcoming Confirmation Bias:

    Actively Seek Out Disconfirming Information: Make a conscious effort to expose yourself to viewpoints that challenge your own. Read articles from diverse sources, engage in respectful conversations with people who hold different views, and consider alternative explanations for events.


    Evaluate Evidence Critically: Don't simply accept information at face value. Ask yourself questions about the source, the methodology used, and potential biases. Look for evidence that contradicts your initial beliefs and weigh it fairly.


    Embrace Uncertainty: Accepting that we can't always be certain is a sign of intellectual humility. Be open to the possibility that your current beliefs might need to be revised in light of new evidence.


    Availability bias: We judge the likelihood of events based on how easily we can recall similar events. Frequent news stories about plane crashes might make you feel flying is less safe than it statistically is.


    Anchoring bias: We rely too heavily on the first piece of information we encounter when making a decision. A high initial price tag can make a similar product seem less expensive even if the difference is small.

Examples of Everyday Certainty Judgments:

    Crossing the street: You judge it safe to cross based on the lack of oncoming traffic (sensory), your knowledge of traffic lights (prior knowledge), and the pedestrian signal (information).


    Knowing a friend is sad: You recognize their facial expression (sensory), combine it with past experiences of their sadness (experience), and conclude they're feeling down (judgment).


    Cooking a meal: You follow a recipe (information) and use past experiences (knowledge) to be certain the dish will turn out well.

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  Doubting Thomas

 The disciple you're referring to is Thomas, also known as "Doubting Thomas." According to the Gospel of John, after Jesus' crucifixion, the other disciples excitedly told Thomas they had seen the resurrected Jesus. However, Thomas was skeptical and declared he wouldn't believe it unless he could see the wounds from the nails in Jesus' hands and place his finger in them, and put his hand in the wound on Jesus' side. 

Eight days later, Jesus appeared again to the disciples, this time with Thomas present. Jesus addressed Thomas directly, inviting him to touch the wounds and believe. Overwhelmed, Thomas exclaimed, "My Lord and my God!" This story highlights the importance of faith, but also shows Jesus' compassion and understanding even for doubt.

 

The story of Doubting Thomas can be found in the Gospel of John, Chapter 20, verses 24-29:

    Now Thomas, one of the twelve, called Didymus, was not with them when Jesus came.  

[25] The other disciples therefore said unto him, We have seen the Lord. But he said unto them, Except I shall see in his hands the print of the nails, and put my finger into the print of the nails, and thrust my hand into his side, I will not believe. 

 [26] And after eight days again his disciples were within, and Thomas with them: then came Jesus, the doors being shut, and stood in the midst, and said, Peace be unto you.

  [27] Then saith he to Thomas, Reach hither thy finger, and behold my hands; and reach hither thy hand, and thrust it into my side: and be not faithless, but believing.

  [28] And Thomas answered and said unto him, My Lord and my God.

  [29] Jesus saith unto him, Thomas, because thou hast seen me, thou hast believed: blessed are they that have not seen, and yet have believed. (John 20:24-29)


Precision

 Even though measurement is a cornerstone of science and daily life,

 it's not perfect. Here are some key limitations to consider:

Limitations due to the Instrument:

    Instrument Accuracy: Sometimes, our tools just aren't precise enough. Imagine using a ruler with only centimeter markings to measure something in millimeters. The measurement would be an estimate, not an exact value.

Resolution vs. Range:


A ruler might have a large range (it can measure long distances) but poor resolution (it can't distinguish small differences). A micrometer, on the other hand, might have a smaller range but much higher resolution, allowing for very precise measurements within that limited range.


The nature of what's being measured: Some properties are inherently more challenging to measure precisely than others. For instance, measuring the length of a solid object is often easier than measuring the exact size of a fuzzy cloud.


Technological advancements: As technology improves, so does the accuracy of our instruments. New tools and techniques allow us to make measurements that were previously impossible or highly uncertain.


    Instrument Functioning: Even the best instruments can malfunction. A faulty thermometer might give consistently inaccurate readings, or a stretched measuring tape could throw off all your measurements.

Instrument malfunction is a sneaky culprit that can lead us astray.

  Here's how it can impact measurements:

    Calibration: All instruments need to be calibrated periodically to ensure they're reading accurately. A thermometer that hasn't been calibrated recently might not reflect the true temperature.

    Damage and wear: Over time, instruments can become damaged or worn, compromising their accuracy. A stretched measuring tape or a chipped ruler will provide unreliable measurements.
    Environmental factors: Some instruments are sensitive to external conditions like temperature, humidity, or vibration. These factors can throw off the readings if not controlled properly.

Here are some ways to mitigate these issues:

    Regular calibration: Following recommended calibration schedules for instruments helps maintain their accuracy.

    Proper use and storage: Using instruments carefully and storing them properly helps prevent damage and wear.

    Checking for malfunctions: Scientists often perform control checks or use redundant measurements to identify and account for potential instrument malfunctions.


Limitations due to the User:

    Human Error: Even with a perfect tool, mistakes can happen. We might misread a scale, estimate a value imprecisely, or introduce bias through our expectations.

Human error is a very real limitation in measurement, even with the best instruments. Here's a deeper dive into the different ways humans can introduce error:

    Misreading: We might simply misread the markings on a scale due to fatigue, inattention, or parallax error (the slight difference in reading depending on the angle we hold the instrument).


    Estimation: Sometimes, instruments require us to estimate values between markings. These estimations can introduce inaccuracies, especially if not done consistently.
    Bias: Our expectations or preconceived notions can unconsciously influence our measurements. For instance, if we expect a certain outcome, we might misread a scale to confirm our bias.

Here are some strategies to minimize human error:

    Careful observation: Taking the time to focus on the instrument and the measurement can help reduce misreadings.


    Multiple readings: Repeating the measurement multiple times and averaging the results can help compensate for slight errors in each reading.


    Double-checking: Having another person verify the measurement can catch errors you might have missed.


    Blinding: In scientific experiments, sometimes researchers are blinded to the expected outcome to minimize bias in their measurements.


    The Limits of Perception: Some things are simply too small, too fast, or too faint for us to perceive directly. These require specialized instruments or techniques to measure effectively.

Limitations inherent to Measurement:

    Uncertainty: Every measurement has some degree of uncertainty. This represents the range within which the "true" value likely falls. The limitations mentioned above all contribute to this uncertainty.

Uncertainty Explained:

Imagine a target with a bullseye in the center.

 The bullseye represents the "true" value you're trying to measure.  Uncertainty refers to the spread around the bullseye, encompassing the range where the actual value might lie.  The smaller the spread, the more precise and accurate your measurement is.

Here's how the limitations we discussed earlier contribute to uncertainty:

    Instrument limitations: The precision of your instrument determines the minimum spread you can achieve. A ruler with only centimeter markings creates a larger spread of uncertainty than a ruler with millimeter markings.
    Human error: Imperfect readings, estimations, and biases can all increase the spread of uncertainty.
    Limits of perception: If you can't perceive something directly, the uncertainty is inherently larger because you're relying on indirect methods.

How Scientists Deal with Uncertainty:

Scientists express their results with a range or a margin of error to account for this uncertainty.  For example, they might report a measurement as "5 meters ± 0.1 meters." This means the true value likely falls somewhere between 4.9 meters and 5.1 meters. The margin of error reflects the estimated spread of uncertainty around the measured value.

The Importance of Understanding Uncertainty:

By understanding uncertainty, we can:

    Interpret results accurately: We can avoid mistaking a precise measurement for a perfectly accurate one.

Precise measurements do not necessarily guarantee perfect accuracy. Here's an analogy to illustrate this concept:

Imagine measuring the length of a table with a ruler. You might be able to read the markings very precisely, down to the nearest millimeter. However, the ruler itself might have some inherent manufacturing errors. Additionally, the way you hold the ruler or the angle at which you read the markings could introduce slight inaccuracies.

So, even though you can obtain a very precise measurement (e.g., 153.2 centimeters), it's important to acknowledge that the true length of the table might be slightly different due to these potential uncertainties.

Here are some key points to consider when interpreting measurement results:

    Accuracy vs. Precision: Accuracy refers to how close a measurement is to the true value, while precision refers to how repeatable or reproducible a measurement is. A measurement can be very precise (repeated readings are very close) but not necessarily accurate (consistently deviates from the true value).


    Understanding Uncertainty: Every measurement has some degree of uncertainty, which represents the range of possible values within which the true value is likely to lie. A good measurement practice involves quantifying this uncertainty and reporting it along with the measured value.

By carefully considering these factors, we can avoid mistaking a precise measurement for a perfectly accurate one and make more informed interpretations of our results.

Example:

Let's say you measure the length of a table and obtain a value of 153.2 centimeters with an uncertainty of ±0.1 centimeters. This interpretation would be more informative than simply reporting the measurement as 153.2 centimeters. It conveys that the true length of the table is likely within the range of 153.1 centimeters to 153.3 centimeters.

Illustrate a Test Tube measurement

Test tubes themselves aren't typically used for precise measurements. They are designed to hold, transport, and mix small volumes of liquids or conduct reactions.  They often come in graduated sizes, with markings along the side to give an approximate idea of the volume contained within.

Here's a breakdown of test tube measurements:

    Marked vs. Unmarked: Some test tubes have etched markings on the side indicating volume in milliliters (mL) at different levels. These markings are for reference only and may not be very precise.
    Size Variations: Even within a designated size (e.g., "13 x 100 mm"), there can be slight variations in the actual diameter and volume of test tubes from different manufacturers.

If you need to measure a liquid volume precisely, it's best to use a graduated cylinder or a volumetric flask, which are designed for accurate measurements. These instruments have clearer markings and are manufactured to meet specific tolerances.

 
    Compare results effectively: When comparing measurements, we can consider the uncertainty of each to determine if the difference is significant.


    Improve measurement techniques: By understanding the sources of uncertainty, scientists can develop better instruments and methods to reduce it.

In conclusion, uncertainty is an inherent part of measurement. By acknowledging and understanding it, we can ensure our measurements are reliable and guide us in making informed decisions based on scientific data.

    Destructive Measurements: Sometimes, measuring something destroys it. For example, to measure the weight of a star, we might only be able to observe its effect on other objects, not directly weigh it.

Additional Considerations:

    The nature of what's being measured: Some properties are inherently more difficult to measure precisely than others.
    The scale of measurement: The limitations might be more significant when dealing with very small or very large quantities.


Empirical

 Empirical refers to something based on observation,

 experience, or experiment. It emphasizes gaining knowledge through the senses and testing rather than relying solely on theory or intuition. Here's a breakdown of the meaning:

    Derived from experience or observation: "The doctor used an empirical approach to diagnose the illness, considering the patient's symptoms and medical history."
    Verifiable through observation or experiment: "The effectiveness of the new drug is being tested through an empirical study with a control group."
    Focused on data and results: "The scientist used an empirical method, collecting data from real-world experiments."

Here are some things that are considered empirical:

    Scientific research: Science relies heavily on empirical evidence gathered through experiments, observations, and data analysis.
    Medical diagnosis: Doctors often use a combination of empirical observations (symptoms) and scientific knowledge to diagnose illnesses.
    Trial and error: This common learning method is a form of empirical learning - we try something, observe the outcome, and adjust based on what we see.

Measurement

Mechanical Tolerance

The precision of a sniper rifle is typically measured in Minutes of Angle (MOA) or Milliradians (mrad). These units represent the angular spread of a group of shots fired from the rifle at a specific distance.

Here's a breakdown of how precision relates to MOA and mrad:

    MOA (Minute of Angle):  Imagine a circle at 100 yards (or meters) from the rifle. One MOA is equal to 1/60th of a degree, which translates to a circle of 1 MOA being roughly 1 inch (2.54 cm) in diameter at that distance.  A smaller MOA value indicates higher precision - the shots will be clustered closer together.

    Mrad (Milliradian):  Similar to MOA, but uses the metric system. One mrad is equal to 1/1000th of a radian.  At 100 meters, 1 mrad is roughly equivalent to 1 centimeter in diameter. Again, a smaller mrad value signifies better precision.

Here's a general guide to the precision of different types of sniper rifles:

    Military-issued sniper rifles: Typically achieve 1-3 MOA (0.3-0.9 mrad) accuracy. This allows for effective engagement at medium to long ranges.
    Police sniper rifles: Often have higher precision, ranging from 0.25-1.5 MOA (0.1-0.4 mrad). This is crucial for urban environments where precise shots are necessary to minimize collateral damage.
    Competition target or benchrest rifles: Can achieve exceptional precision, up to 0.15-0.3 MOA (0.04-0.09 mrad). These rifles are designed for extreme accuracy under controlled conditions.

Important factors to consider:

    Rifle quality: The design and manufacturing of the rifle itself play a major role in precision. A well-made rifle with a high-quality barrel will inherently be more accurate.
    Ammunition: The type of bullet and propellant used can significantly impact precision. Bullets need to be consistent in weight, shape, and construction for optimal accuracy.
    Environmental conditions: Wind, temperature, and humidity can all affect bullet trajectory and therefore impact precision. Skilled snipers account for these factors when making a shot.
    Shooter skill: Even the most precise rifle requires a skilled shooter to unlock its full potential. Factors like breath control, trigger control, and proper shooting position all contribute to accurate shot placement.

In conclusion, sniper rifle precision is a combination of the rifle itself, the ammunition used, environmental conditions, and the skill of the shooter. By understanding MOA/mrad and these other factors, you can gain a better appreciation of the capabilities and limitations of sniper rifles.

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