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#exponentials
rbrooksdesign · 3 days
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"DMT_25," digital + acrylic, April 27, 2024, Reginald Brooks
DMT = Divisor (Factor) Matrix Table
No worries if you get lost. Every number is here. Pick any number, divide it by 2 until you end with an ODD. The divisors of said number are those values + the same number of values in Row 1 + the same number of values in any of the *composite ODDs. *If said number divides down to a composite number, then include this Row + other Rows whose ODD(s) are the Prime factors of that initial ODD.
Example: say 13684
13684÷2=6842
6842÷2=3421 and there are two divisions required to reveal the ODD and thus three DMT cell values
3421 is a composite number: 1-11-311-3421 so you include the ODD Rows 1-11-311-3421 three DMT cell values across.
1-2-4
11-22-44
311-622-1244
3421-6842-13684
The DMT is a simple and always ready visualization. Dance!
Example2: 13864
Divides down to 1733, 3466, 6932, 13864 or 4 DMT cell values with the ODD 1733 being Prime.
1-2-4-8
1733-3466-6932-13864
more here___
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nerdymemes · 7 months
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prose2passion · 1 month
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four years ago we had the very scary realisation that people then in government didn't understand exponentials ... which is why UK lockdown came much too late and way too many people died in the first wave. Oh and the lockdown had to stay in place much longer than an earlier lockdown would have, because these curves are slower coming down than going up.
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yeoldenews · 3 months
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A Guide to Historically Accurate Regency-Era Names
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I recently received a message from a historical romance writer asking if I knew any good resources for finding historically accurate Regency-era names for their characters.
Not knowing any off the top of my head, I dug around online a bit and found there really isn’t much out there. The vast majority of search results were Buzzfeed-style listicles which range from accurate-adjacent to really, really, really bad.
I did find a few blog posts with fairly decent name lists, but noticed that even these have very little indication as to each name’s relative popularity as those statistical breakdowns really don't exist.
I began writing up a response with this information, but then I (being a research addict who was currently snowed in after a blizzard) thought hey - if there aren’t any good resources out there why not make one myself?
As I lacked any compiled data to work from, I had to do my own data wrangling on this project. Due to this fact, I limited the scope to what I thought would be the most useful for writers who focus on this era, namely - people of a marriageable age living in the wealthiest areas of London.
So with this in mind - I went through period records and compiled the names of 25,000 couples who were married in the City of Westminster (which includes Mayfair, St. James and Hyde Park) between 1804 to 1821.
So let’s see what all that data tells us…
To begin - I think it’s hard for us in the modern world with our wide and varied abundance of first names to conceive of just how POPULAR popular names of the past were.
If you were to take a modern sample of 25-year-old (born in 1998) American women, the most common name would be Emily with 1.35% of the total population. If you were to add the next four most popular names (Hannah, Samantha, Sarah and Ashley) these top five names would bring you to 5.5% of the total population. (source: Social Security Administration)
If you were to do the same survey in Regency London - the most common name would be Mary with 19.2% of the population. Add the next four most popular names (Elizabeth, Ann, Sarah and Jane) and with just 5 names you would have covered 62% of all women.
To hit 62% of the population in the modern survey it would take the top 400 names.
The top five Regency men’s names (John, William, Thomas, James and George) have nearly identical statistics as the women’s names.
I struggled for the better part of a week with how to present my findings, as a big list in alphabetical order really fails to get across the popularity factor and also isn’t the most tumblr-compatible format. And then my YouTube homepage recommended a random video of someone ranking all the books they’d read last year - and so I present…
The Regency Name Popularity Tier List
The Tiers
S+ - 10% of the population or greater. There is no modern equivalent to this level of popularity. 52% of the population had one of these 7 names.
S - 2-10%. There is still no modern equivalent to this level of popularity. Names in this percentage range in the past have included Mary and William in the 1880s and Jennifer in the late 1970s (topped out at 4%).
A - 1-2%. The top five modern names usually fall in this range. Kids with these names would probably include their last initial in class to avoid confusion. (1998 examples: Emily, Sarah, Ashley, Michael, Christopher, Brandon.)
B - .3-1%. Very common names. Would fall in the top 50 modern names. You would most likely know at least 1 person with these names. (1998 examples: Jessica, Megan, Allison, Justin, Ryan, Eric)
C - .17-.3%. Common names. Would fall in the modern top 100. You would probably know someone with these names, or at least know of them. (1998 examples: Chloe, Grace, Vanessa, Sean, Spencer, Seth)
D - .06-.17%. Less common names. In the modern top 250. You may not personally know someone with these names, but you’re aware of them. (1998 examples: Faith, Cassidy, Summer, Griffin, Dustin, Colby)
E - .02-.06%. Uncommon names. You’re aware these are names, but they are not common. Unusual enough they may be remarked upon. (1998 examples: Calista, Skye, Precious, Fabian, Justice, Lorenzo)
F - .01-.02%. Rare names. You may have heard of these names, but you probably don’t know anyone with one. Extremely unusual, and would likely be remarked upon. (1998 examples: Emerald, Lourdes, Serenity, Dario, Tavian, Adonis)
G - Very rare names. There are only a handful of people with these names in the entire country. You’ve never met anyone with this name.
H - Virtually non-existent. Names that theoretically could have existed in the Regency period (their original source pre-dates the early 19th century) but I found fewer than five (and often no) period examples of them being used in Regency England. (Example names taken from romance novels and online Regency name lists.)
Just to once again reinforce how POPULAR popular names were before we get to the tier lists - statistically, in a ballroom of 100 people in Regency London: 80 would have names from tiers S+/S. An additional 15 people would have names from tiers A/B and C. 4 of the remaining 5 would have names from D/E. Only one would have a name from below tier E.
Women's Names
S+ Mary, Elizabeth, Ann, Sarah      
S - Jane, Mary Ann+, Hannah, Susannah, Margaret, Catherine, Martha, Charlotte, Maria
A - Frances, Harriet, Sophia, Eleanor, Rebecca
B - Alice, Amelia, Bridget~, Caroline, Eliza, Esther, Isabella, Louisa, Lucy, Lydia, Phoebe, Rachel, Susan
C - Ellen, Fanny*, Grace, Henrietta, Hester, Jemima, Matilda, Priscilla
D - Abigail, Agnes, Amy, Augusta, Barbara, Betsy*, Betty*, Cecilia, Christiana, Clarissa, Deborah, Diana, Dinah, Dorothy, Emily, Emma, Georgiana, Helen, Janet^, Joanna, Johanna, Judith, Julia, Kezia, Kitty*, Letitia, Nancy*, Ruth, Winifred>
E - Arabella, Celia, Charity, Clara, Cordelia, Dorcas, Eve, Georgina, Honor, Honora, Jennet^, Jessie*^, Joan, Joyce, Juliana, Juliet, Lavinia, Leah, Margery, Marian, Marianne, Marie, Mercy, Miriam, Naomi, Patience, Penelope, Philadelphia, Phillis, Prudence, Rhoda, Rosanna, Rose, Rosetta, Rosina, Sabina, Selina, Sylvia, Theodosia, Theresa
F - (selected) Alicia, Bethia, Euphemia, Frederica, Helena, Leonora, Mariana, Millicent, Mirah, Olivia, Philippa, Rosamund, Sybella, Tabitha, Temperance, Theophila, Thomasin, Tryphena, Ursula, Virtue, Wilhelmina
G - (selected) Adelaide, Alethia, Angelina, Cassandra, Cherry, Constance, Delilah, Dorinda, Drusilla, Eva, Happy, Jessica, Josephine, Laura, Minerva, Octavia, Parthenia, Theodora, Violet, Zipporah
H - Alberta, Alexandra, Amber, Ashley, Calliope, Calpurnia, Chloe, Cressida, Cynthia, Daisy, Daphne, Elaine, Eloise, Estella, Lilian, Lilias, Francesca, Gabriella, Genevieve, Gwendoline, Hermione, Hyacinth, Inez, Iris, Kathleen, Madeline, Maude, Melody, Portia, Seabright, Seraphina, Sienna, Verity
Men's Names
S+ John, William, Thomas
S - James, George, Joseph, Richard, Robert, Charles, Henry, Edward, Samuel
A - Benjamin, (Mother’s/Grandmother’s maiden name used as first name)#
B - Alexander^, Andrew, Daniel, David>, Edmund, Francis, Frederick, Isaac, Matthew, Michael, Patrick~, Peter, Philip, Stephen, Timothy
C - Abraham, Anthony, Christopher, Hugh>, Jeremiah, Jonathan, Nathaniel, Walter
D - Adam, Arthur, Bartholomew, Cornelius, Dennis, Evan>, Jacob, Job, Josiah, Joshua, Lawrence, Lewis, Luke, Mark, Martin, Moses, Nicholas, Owen>, Paul, Ralph, Simon
E - Aaron, Alfred, Allen, Ambrose, Amos, Archibald, Augustin, Augustus, Barnard, Barney, Bernard, Bryan, Caleb, Christian, Clement, Colin, Duncan^, Ebenezer, Edwin, Emanuel, Felix, Gabriel, Gerard, Gilbert, Giles, Griffith, Harry*, Herbert, Humphrey, Israel, Jabez, Jesse, Joel, Jonas, Lancelot, Matthias, Maurice, Miles, Oliver, Rees, Reuben, Roger, Rowland, Solomon, Theophilus, Valentine, Zachariah
F - (selected) Abel, Barnabus, Benedict, Connor, Elijah, Ernest, Gideon, Godfrey, Gregory, Hector, Horace, Horatio, Isaiah, Jasper, Levi, Marmaduke, Noah, Percival, Shadrach, Vincent
G - (selected) Albion, Darius, Christmas, Cleophas, Enoch, Ethelbert, Gavin, Griffin, Hercules, Hugo, Innocent, Justin, Maximilian, Methuselah, Peregrine, Phineas, Roland, Sebastian, Sylvester, Theodore, Titus, Zephaniah
H - Albinus, Americus, Cassian, Dominic, Eric, Milo, Rollo, Trevor, Tristan, Waldo, Xavier
# Men were sometimes given a family surname (most often their mother's or grandmother's maiden name) as their first name - the most famous example of this being Fitzwilliam Darcy. If you were to combine all surname-based first names as a single 'name' this is where the practice would rank.
*Rank as a given name, not a nickname
+If you count Mary Ann as a separate name from Mary - Mary would remain in S+ even without the Mary Anns included
~Primarily used by people of Irish descent
^Primarily used by people of Scottish descent
>Primarily used by people of Welsh descent
I was going to continue on and write about why Regency-era first names were so uniform, discuss historically accurate surnames, nicknames, and include a little guide to finding 'unique' names that are still historically accurate - but this post is already very, very long, so that will have to wait for a later date.
If anyone has any questions/comments/clarifications in the meantime feel free to message me.
Methodology notes: All data is from marriage records covering six parishes in the City of Westminster between 1804 and 1821. The total sample size was 50,950 individuals.
I chose marriage records rather than births/baptisms as I wanted to focus on individuals who were adults during the Regency era rather than newborns. I think many people make the mistake when researching historical names by using baby name data for the year their story takes place rather than 20 to 30 years prior, and I wanted to avoid that. If you are writing a story that takes place in 1930 you don’t want to research the top names for 1930, you need to be looking at 1910 or earlier if you are naming adult characters.
I combined (for my own sanity) names that are pronounced identically but have minor spelling differences: i.e. the data for Catherine also includes Catharines and Katherines, Susannah includes Susannas, Phoebe includes Phebes, etc.
The compound 'Mother's/Grandmother's maiden name used as first name' designation is an educated guesstimate based on what I recognized as known surnames, as I do not hate myself enough to go through 25,000+ individuals and confirm their mother's maiden names. So if the tally includes any individuals who just happened to be named Fitzroy/Hastings/Townsend/etc. because their parents liked the sound of it and not due to any familial relations - my bad.
I did a small comparative survey of 5,000 individuals in several rural communities in Rutland and Staffordshire (chosen because they had the cleanest data I could find and I was lazy) to see if there were any significant differences between urban and rural naming practices and found the results to be very similar. The most noticeable difference I observed was that the S+ tier names were even MORE popular in rural areas than in London. In Rutland between 1810 and 1820 Elizabeths comprised 21.4% of all brides vs. 15.3% in the London survey. All other S+ names also saw increases of between 1% and 6%. I also observed that the rural communities I surveyed saw a small, but noticeable and fairly consistent, increase in the use of names with Biblical origins.
Sources of the records I used for my survey: 
Ancestry.com. England & Wales Marriages, 1538-1988 [database on-line].
Ancestry.com. Westminster, London, England, Church of England Marriages and Banns, 1754-1935 [database on-line].
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reasonsforhope · 1 month
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By the way, I would literally bet money that we're going to successfully keep global warming below 2 degrees celsius.
Would I bet my whole savings on it? No, not yet. But the way the data is trending, in two or three years, I very well might.
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howboutsleep · 19 days
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lena would struggle so hard to stop from giggling if she still had any capability of expressing emotions. imagine this dumbass who explicitly stated that she "wants your job" coming back from literally the first assignment looking like a wet malnourished cat storming into your office "What. The hell. Was that." like girlie my dear gwendolyn "he can read??????" bouchard its like lvl 1 Horror you havent even got to the real Horrors yet
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exosprintcoach · 1 year
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#ExOSprint te lleva a la transformación Exponencial en 10 semanas
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tortoisenotthehare · 1 year
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what is log .... e
why why
WHAT IS A DERIVATIVE
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flexxyfluxx · 5 months
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in bed. straight up "hugging it". and by " it", haha, well. lets justr say. Shonk
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seentheredseentheblue · 2 months
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twinklaren x the internet pt. 3
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rbrooksdesign · 10 days
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"DMT_18," digital + acrylic, April 20, 2024, Reginald Brooks
DMT = Divisor (Factor) Matrix Table
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badangle · 6 months
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geno malkin be like ‘i know a spot’ and then takes you to sidney crosby’s sweet spot
bonus: thank you @goatisbetheres for reminding us they are just Like That (traumatising the public with gross acts of pda)
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enzoexposyto · 2 years
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https://www2.slideshare.net/EnzoExposito1/equazioni-e-disequazioni-logaritmiche-metodo-grafico-metodo-analitico-esempio-1 EQUAZIONI e DISEQUAZIONI LOGARITMICHE - METODO GRAFICO - METODO ANALITICO - ESEMPIO 1 - CALCOLI, SOLUZIONI e GRAFICI PASSO PASSO - Equazione di una Funzione Logaritmica - Calcolo delle Coordinate di Alcuni Punti - Grafico della Funzione - Equazione e Disequazioni Associate all'Equazione della Funzione - Impostazione Generale delle Soluzioni - Soluzioni, con Grafico, dell'Equazione e delle Disequazioni - Metodo Analitico - Sintesi delle Soluzioni #equations #functions #exponentials #logarithms #logarithmic_equations #exponential_equations #logarithmic_inequations #exponential_inequations #logarithmic_functions #exponential_functions #transcendental #transcendentals #transcendental_equation #transcendental_equations #transcendental_function #transcendental_functions #graphical_method #analytical_methods #equazioni #disequazioni #funzioni #disequazioni_logaritmiche #equazioni_logaritmiche #esponenziali #funzioni_logaritmiche #equazioni_esponenziali #disequazioni_esponenziali #funzioni_esponenziali (presso World) https://www.instagram.com/p/ChYaGd6IcLO/?igshid=NGJjMDIxMWI=
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lee-minhoe · 4 months
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tanktop lino for @skzfaker 💞🎁
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lowgothree · 26 days
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paige is the type to text “what position you got her in?” when you take a little too long to answer her text😭
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