Podcast appearances and mentions of sam nolan

Barbering isn't just about cutting hair—it's about perseverance, resilience, and putting in the work. In this episode, Sam Nolan shares his inspiring journey from struggling student to successful barber, shop manager, and educator. We dive into the real challenges of the industry, from overcoming setbacks to building a loyal clientele, mastering the craft, and pushing through the grind to build a lasting career.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Open Technical Challenges around Probabilistic Programs and Javascript, published by Ozzie Gooen on August 26, 2023 on The Effective Altruism Forum. While working on Squiggle, we've encountered many technical challenges in writing probabilistic functionality with Javascript. Some of these challenges are solved in Python and must be ported over, and some apply to all languages. We think the following tasks could be good fits for others to tackle. These are fairly isolated and could be done in contained NPM packages or similar. The solutions would be useful for Squiggle and might be handy for others in the Javascript ecosystem as well. Advice and opinions are also appreciated. This post was quickly written, as it's for a narrow audience and might get outdated. We're happy to provide more rigor and context if requested. Let us know if you are interested in taking any of them on and could use some guidance! For those not themselves interested in contributing, this might be useful for giving people a better idea of the sorts of challenges we at QURI work on. 1. Density Estimation Users often want to convert samples into continuous probability distribution functions (PDFs). This is difficult to do automatically. The standard approach of basic Kernel Density Estimation can produce poor fits on multimodal or heavily skewed data. a. Variable kernel density estimation Simple KDE algorithms use a constant bandwidth. There are multiple methods for estimating this. One common method is Silverman's rule of thumb. In practice, using Silverman's rule of thumb with one single bandwidth performs poorly for multimodal or heavily skewed distributions. Squiggle performs log KDE for heavily skewed distributions, but this only helps so much, and this strategy comes with various inconsistencies. There's a set of algorithms for variable kernel density estimation or adaptive bandwidth choice, which seems more promising. Another option is the Sheather-Jones method, which existing python KDE libraries use. We don't know of good Javascript implementations of these algorithms. b. Performant KDE with non-triangle shapes Squiggle now uses a triangle kernel for speed. Fast algorithms (FFT) should be possible, with better kernel shapes. See this thread for some more discussion. c. Cutoff Heuristics One frequent edge-case is that many distributions have specific limits, often at 0. There might be useful heuristics like, "If there are no samples below zero, then it's very likely there should be zero probability mass below zero, even if many samples are close and the used bandwidth would imply otherwise." See this issue for more information. d. Discrete vs. continuous estimation Sometimes, users pass in samples from discrete distributions or mixtures of discrete and continuous distributions. In these cases, it's helpful to have heuristics to detect which data might be meant to be discrete and which is meant to be continuous. Right now, in Squiggle, we do this by using simple heuristics of repetition - if multiple samples are precisely the same, we assume they represent discrete information. It's unclear if there are any great/better ways of doing this heuristically. e. Multidimensional KDE Eventually, it will be useful to do multidimensional KDE. It might be more effective to do this in WebAssembly, but this would of course, introduce complications. 2. Quantiles to Distributions, Maybe with Metalog A frequent use case is: "I have a few quantile/CDF points in mind and want to fit this to a distribution. How should I do this?" One option is to use the Metalog distribution. There's no great existing Javascript implementation of Metalog yet. Sam Nolan made one attempt, but it's not as flexible as we'd like. (It fails to convert many points into metalog distributions). Jonas Moss thinks we can do better than...

A tearful escape. Another perspective, illuminating the unseen. Quinn's Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Merry N. as Desmond Ayer (twitter.com/muddyevilist), Amy Y. as Professor Hope Lezner (twitter.com/achill3a), Rebecca M. as Sam Nolan (twitter.com/explosive_sheep), Kale B. (twitter.com/superhumanfoods) as Quinn McDunn, Ness B. as Professor August Howard (twitter.com/Nessrocker), and Vic Collins (twitter.com/SatyrOfStrategy) as Richard the Initiate. Written and edited by Kale B. with special assistance from S.J. Ryker (twitter.com/lookwhosfhtagn). Cover art by Kale B. Support us on Patreon! www.patreon.com/BlakeSkyePI All music licensed under Creative Commons: By Attribution 4.0 (creativecommons.org/licenses/by/4.0/)

A thing is not what it appears to be, but it can become what it is believed to be. Hope discusses magic. Sam discusses lies. Quinn's Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Merry N. as Desmond Ayer (twitter.com/muddyevilist), Amy Y. as Professor Hope Lezner (twitter.com/achill3a), Rebecca M. as Sam Nolan (twitter.com/explosive_sheep), Kale B. (twitter.com/superhumanfoods) as Quinn McDunn, Ness B. as Professor August Howard (twitter.com/Nessrocker), and Vic Collins (twitter.com/SatyrOfStrategy) as Richard the Initiate. Written and edited by Kale B. with special assistance from S.J. Ryker (twitter.com/lookwhosfhtagn). Cover art by Kale B. Support us on Patreon! www.patreon.com/BlakeSkyePI All music licensed under Creative Commons: By Attribution 4.0 (creativecommons.org/licenses/by/4.0/)

Just as Desmond begins to settle into the new addition to his routine, it faces an interruption. Much is made of books and their origins. Names are exchanged and suggested. Quinn's Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Merry N. as Desmond Ayer (twitter.com/muddyevilist), Amy Y. as Professor Hope Lezner (twitter.com/achill3a), Rebecca M. as Sam Nolan (twitter.com/explosive_sheep), Kale B. (twitter.com/superhumanfoods) as Quinn McDunn, and Ness B. as Professor August Howard (twitter.com/Nessrocker). Also featuring Rowan v. G (twitter.com/shaywilds). as Keyzer and Lafayette Uttarapong (twitter.com/esperixis) as the Estate Representative. Written and edited by Kale B. with special assistance from S.J. Ryker (twitter.com/lookwhosfhtagn). Cover art by Kale B. Support us on Patreon! www.patreon.com/BlakeSkyePI All music licensed under Creative Commons: By Attribution 4.0 (creativecommons.org/licenses/by/4.0/)

With a new subject in hand and a new project underway, Desmond conducts some preliminary interviews. Some go according to expectations. One does not. Quinn's Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Merry N. as Desmond Ayer (twitter.com/muddyevilist), Amy Y. as Professor Hope Lezner (twitter.com/achill3a), Rebecca M. as Sam Nolan (twitter.com/explosive_sheep), and Kale B. (twitter.com/superhumanfoods) as Quinn McDunn. Written and edited by Kale B. with special assistance from S.J. Ryker (twitter.com/lookwhosfhtagn). Cover art by Kale B. Support us on Patreon! www.patreon.com/BlakeSkyePI All music licensed under Creative Commons: By Attribution 4.0 (creativecommons.org/licenses/by/4.0/)

When it rains, it pours, especially for Lucy Marinn.  However, Sam Nolan helps her weather the storms in Rainshadow Road by Lisa Kleypas!!Lucy believes her boyfriend is the most thoughtful man, but he a boy who chooses her sister.Sam keeps busy with his vineyard, but Lucy's bad luck continues and a mutual friend convinces him to help nurse Lucy back to health in his home.Lucy and  Sam eventually become friends with benefits and they find out each other's secret ability.  However, their situation soon changes as Lucy's luck turns around and she plans to move, and Sam freaks out about his first adult sleepover.Sam apologizes for his freak out however Lucy realizes their road will lead to heartache if they continue their situation-ship.  Will Sam let her leave or will he change his usual course?? Join us as we discuss how Lucy and Sam brought figurative and literal magic into each other's life!!DRAWING ROOM DISCUSSIONSHC Union Strike Fund link and info on https://linktr.ee/hcpunionThoughts on our 2023 sub-genre switch??“OFFICIAL, UNOFFICIAL BOOK REVIEW” – 2:57Lisa KleypasRainshadow RoadFriday Harbor book twowww.lisakelypas.com www.facebook.com/lisakleypas www.instagram.com/lisakleypas “POT-TAIL PONDERING” – 30:13Please continue to support local businessesOld Pali Road Whiskey, Made on Oahu, HawaiiShips to most contiguous US stateswww.koolaudistillery.comRainbow Bourbon Cooler recipe with butterfly pea flower simple syrup from cocktailcontessa.comRye Hummingbird Down recipe from cocktailsdistilled.comWine and Whiskey cocktail recipe from shakedrinkrepeat.comOne Duke Down by Anna Bennett, Releases Jan 24, 2023When His Eyes Opened by Simple Silence on Good NovelBig Ticket Goals manifesting vid by TTer: raynacampbellbusinessNext – Dream Lake by Lisa Kleypas Hosts - Toni Rose & Wendy Woo Email - litwallflowerspodcast@gmail.com Follow on www.instagram.com/litwallflowerspodcast Shop at https://www.zazzle.com/store/lit_wallflowers/products Social Media https://linktr.ee/litwallflowers Lit Wallflowers is part of the Frolic Podcast Network.  You can find more outstanding podcasts to subscribe to at Frolic.media/podcasts!

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The winners of the Change Our Mind Contest—and some reflections, published by GiveWell on December 15, 2022 on The Effective Altruism Forum. Author: Isabel Arjmand, GiveWell Special Projects Officer In September, we announced the Change Our Mind Contest for critiques of our cost-effectiveness analyses. Today, we're excited to announce the winners! We're very grateful that so many people engaged deeply with our work. This contest was GiveWell's most successful effort so far to solicit external criticism from the public, and it wouldn't have been possible without the participation of people who share our goal of allocating funding to cost-effective programs. Overall, we received 49 entries engaging with our prompts. We were very happy with the quality of entries we received—their authors brought a great deal of thought and expertise to engaging with our cost-effectiveness analyses. Because we were impressed by the quality of entries, we've decided to award two first-place prizes and eight honorable mentions. (We stated in September that we would give a minimum of one first-place, one runner-up, and one honorable mention prize.) We also awarded $20,000 to the piece of criticism that inspired this contest. Winners are listed below, followed by our reflections on this contest and responses to the winners. The prize-winners Given the overall quality of the entries we received, selecting a set of winners required a lot of deliberation. We're still in the process of determining which critiques to incorporate into our cost-effectiveness analyses and to what extent they'll change the bottom line; we don't agree with all the critiques in the first-place and honorable mention entries, but each prize-winner raised issues that we believe were worth considering. In several cases, we plan to further investigate the questions raised by these entries. Within categories, the winners are listed alphabetically by the last name of the author who submitted the entry. First-place prizes – $20,000 each[1] Noah Haber for "GiveWell's Uncertainty Problem." The author argues that without properly accounting for uncertainty, GiveWell is likely to allocate its portfolio of funding suboptimally, and proposes methods for addressing uncertainty. Matthew Romer and Paul Romer Present for "An Examination of GiveWell's Water Quality Intervention Cost-Effectiveness Analysis." The authors suggest several changes to GiveWell's analysis of water chlorination programs, which overall make Dispensers for Safe Water's program appear less cost-effective. To give a general sense of the magnitude of the changes we currently anticipate, our best guess is that Matthew Romer and Paul Romer Present's entry will change our estimate of the cost-effectiveness of Dispensers for Safe Water by very roughly 5 to 10% and that Noah Haber's entry may lead to an overall shift in how we account for uncertainty (but it's too early to say how it would impact any given intervention). Overall, we currently expect that entries to the contest may shift the allocation of resources between programs but are unlikely to lead to us adding or removing any programs from our list of recommended charities. Honorable mentions – $5,000 each Alex Bates for a critical review of GiveWell's 2022 cost-effectiveness model Dr. Samantha Field and Dr. Yannish Naik for "A critique of GiveWell's CEA model for Conditional Cash Transfers for vaccination in Nigeria (New Incentives)" Akash Kulgod for "Cost-effectiveness of iron fortification in India is lower than GiveWell's estimates" Sam Nolan, Hannah Rokebrand, and Tanae Rao for "Quantifying Uncertainty in GiveWell Cost-Effectiveness Analyses" Isobel Phillips for "Improving GiveWell's modelling of insecticide resistance may change their cost per life saved for AMF by up to 20%" Tanae Rao and Ricky Huang for "...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: $5k challenge to quantify the impact of 80,000 hours' top career paths, published by NunoSempere on September 23, 2022 on The Effective Altruism Forum. Motivation 80,000 hours has identified a number of promising career paths. They have a fair amount of analysis behind their recommendations, and in particular, they have a list of top ten priority paths. However, 80,000 hours doesn't quite have quantitative estimates of these paths' value. Although their usefulness would not be guaranteed, quantitative estimates could make it clearer: how valuable their top career paths are relative to each other how valuable their top career paths are relative to options further down their list at which level of personal fit one should switch between different career paths where the expected impact is coming from, and which variables we are most uncertain about eventually, whether certain opportunities are valuable in themselves or for the value of information or career capital that they provide etc. The Prize Following up on the $1,000 Squiggle Experimentation Challenge and the Forecasting Innovation Prize we are offering a prize of $5k for quantitative estimates of the value of 80,000 hours' top 10 career paths. Rules Step 1: Make a public post online between now and December 1, 2022. Posts on the EA Forum (link posts are fine) are encouraged.Step 2: Complete this submission form. Further details Participants can use units or strategies of their choice—these might be QALYs, percentage points of reduction in existential risk, basis points of the future, basis points of existential risk reduced, career-dependent units, etc. Contestants could also use some other method, like relative values, estimating proxies, or some original option. We are specifically looking for quantitative estimates that attempt to estimate some magnitude reasonably close to the real world, similar to the units above. So for example, assigning valuations from 0 to 5 stars would not fulfil the requirements of the contest, but estimates in terms of the units above would qualify. Participants are free to estimate the value of one, several, or all ten career paths. Participants are free to use whatever tool or language they want to produce these estimates. Some possible tooling might be: Excel, Squiggle, Guesstimate, probabilistic languages or libraries (e.g., Turing.jl, PyMC3, Stan), Causal, working directly in a popular programming language, etc. Participants can provide point estimates of impact, but they are encouraged to provide their estimates as distributions instead. Participants are free to estimate the impact of a marginal person, of a marginal person with a good fit, the average value, etc. Participants are welcome to provide both average and marginal value—for example, they could provide a function which provides an estimate of marginal value at different levels of labor and capital. We provide some examples of possible rough submissions in an appendix. We are also happy to comment on estimation strategies: feel free to leave a comment on this post or to send a message to Nuño Sempere using the EA forum message functionality. Judging The judges will be Nuño Sempere, Eli Lifland, Alex Lawsen and Sam Nolan. These judges will judge on their personal capacities, and their stances do not represent their organizations. Judges will estimate the quality and value of the entries, and we will distribute the prize amount of $5k in proportion to an equally weighted aggregate of those subjective estimates. To reduce our operational burden, we are looking to send out around three to five prizes. If there are more than five submissions, we plan to implement a lottery system. For example, a participant who would have won $100 would instead get a 10% chance of receiving $1k. Acknowledgements This contest is a project of...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Why does GiveWell not provide lower and upper estimates for the cost-effectiveness of its top charities?, published by Vasco Grilo on July 31, 2022 on The Effective Altruism Forum. As noted by Sam Nolan here: GiveWell's cost-effectiveness analyses (CEAs) of top charities are often considered the gold standard. However, they still have room for improvement. One such improvement is the quantification of uncertainty. Why does GiveWell not provide lower and upper estimates for the cost-effectiveness of its top charities? Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Probability distributions of Cost-Effectiveness can be misleading, published by Lorenzo on July 18, 2022 on The Effective Altruism Forum. TL;DR: The "mean" cost-effectiveness of interventions with uncertain impact can be misleading, sometimes significantly.We want to consider mean(cost)mean(effect), not mean(costeffect) Epistemic status (how much I'm sure of this): I'm pretty confident about the main claim, but still confused about the details, I end the post with some questions. Minimal extreme example: Let's say that you have a magical intervention that has: 33% of saving 1 life 33% of saving 100 lives 33% of saving 199 lives All for the known cost of $10,000.It would be an amazing intervention! If you run hundreds of similar interventions, you can save lives with cost-effectiveness of $100/life: the expected value is 100 lives saved, and the cost is always $10,000. But here is what happens if you model it in Guesstimate: You get $3400 mean cost per life! Underestimating the actual effectiveness by a factor of 34! This is obvious in hindsight: since Guesstimate shows the "mean" cost-effectiveness mean(costeffect)=mean(100001,10000100,10000199)≈3400 instead of what we care about, which is: costeffect=costNeffectN=mean(cost)mean(effect)=10000mean(1,100,199)=100. Looking at the 5th and 95th percentile helps in many cases, but not in scenarios where there is a very small probability of very high effects and a significant probability of small effects. Minimal Guesstimate example with 4.8% of saving 1000 lives and 95.2% of saving 1 life. Some practical examples of very small chances of huge value might be deworming or policy interventions. For those, mean(cost/effect) and mean(cost)/mean(effect) might differ by orders of magnitude. Three recent examples: (search for "EDIT 22/06/2022:" in this post, it changes a result by an order of magnitude) / (in this case the difference is smaller, 54 vs 31, see ) (19 vs 12, see ) If you want to check another Guesstimate model For most models, you can just manually calculate mean(cost)/mean(effect), since the means are shown in the Guesstimate UI.For more complex cases, if you are comfortable with python, you can port a guesstimate model to numpy using/ and add .mean() liberally (very MVP, let me know if it doesn't work with a model you want to try). Possible solutions / mitigations: If you're interested in a single number for some sense of "expected cost-effectiveness", get the expected value and the expected cost and divide those numbers instead of the distributions (if the distributions can be considered independent). If costs are constant in your model, consider looking at the value per dollar (or per $1,000) instead of dollars per value, so the denominator is constant. The minimal example would become Other ideas? I'm definitely not an expert in any of this and there's probably a nice mathematical/statistical solution that I can't think of! Please comment if you think of anything! Some questions I still have: How can we express the uncertainty around cost/effectiveness if the ratio distribution is hard to reason about and has misleading moments? How could the UI in guesstimate or some potential alternative indicate to the user when to use mean(f(distribution)) and when to use f(mean(distribution)) for nonlinear functions, to prevent people from making this very common mistake?We might want to use the former for e.g. the value of cash transferseffect=∑klog(cash)→mean(effect)=mean(klog(cash))≠klog(mean(cash)) Really curious to know if anyone has ideas! Huge thanks to Sam Nolan, Justis Mills, and many others for fleshing out the main idea, editing, and correcting mistakes. Assuming independence between cost and effect Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

A special Quinn's Mechanism edition of Skye Mail, again! Join the voices of Sam Nolan, Hope Lezner, Quinn McDunn, Desmond Ayer, and Keyzer as we discuss our favourite moments of Act Two, gossip about Keyzer and Hope's messy past, debate the most menacing bird, and talk about the future of Quinn's Mechanism. Starring Amy Y. (https://twitter.com/achill3a), Rebecca M. (https://twitter.com/DokBlock), Kale B. (https://twitter.com/SuperHumanFoods), Merry N. (https://twitter.com/muddyevilist), and Shay v. G. (https://twitter.com/shaywilds), with special ominous oversight by Ness B. (https://twitter.com/Nessrocker). Edited by Kale B. with no assistance from S.J. Ryker (https://twitter.com/LookWhosFhtagn), and it shows. Cover art by Kale B. The character of Keyzer is one of our Patreon backer's noirsonas. They were included in Quinn's Mechanism with the consent of the associated patron. If you'd like to know more about them, their character profile and story updates are available to read on our website (https://www.blakeskyepi.com/noirsonas#keyzer). Interested in having a noirsona of your own? Consider supporting us on Patreon (https://www.patreon.com/BlakeSkyePI)! All music by Kevin MacLeod (https://incompetech.com/).

Left with little choice, Professor Lezner begins experiments on the fourth volume alongside her newest test subject. While the book guards its secrets jealously, Hope is less careful with her own. Quinn's Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Amy Y. as Professor Hope Lezner (https://twitter.com/achill3a), Ness B. as Professor August Howard (https://twitter.com/Nessrocker), Shay v. G. as Keyzer (https://twitter.com/shaywilds), Rebecca M. as Sam Nolan (https://twitter.com/DokBlock), and Merry N. as Desmond Ayer (https://twitter.com/muddyevilist). Written and edited by Kale B. (https://twitter.com/superhumanfoods) with special assistance from S.J. Ryker (https://twitter.com/lookwhosfhtagn). Cover art by Kale B. The character of Keyzer is one of our Patreon backers' noirsonas. They were included in Quinn's Mechanism with the consent of the associated patron. If you'd like to know more about them, their character profile and story updates are available to read on our website (https://www.blakeskyepi.com/noirsonas#keyzer). Interested in having a noirsona of your own? Consider supporting us on Patreon! (https://www.patreon.com/BlakeSkyePI) Road to Hell (https://incompetech.filmmusic.io/song/4297-road-to-hell), Immersed (https://incompetech.filmmusic.io/song/3900-immersed), and Private Reflection (https://incompetech.filmmusic.io/song/4241-private-reflection) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/)

Read and Edited by Sam Nolan, Written by MichaelA This is the second post in the series Improving the EA-Aligned Research Pipeline, What's wrong with the EA-Aligned Research Pipeline. This reading discusses 10 potential issues with the pipeline as it currently stands. Most notably, it finds that although there are a large number of people, research questions and funders, but a bottleneck in vetting potential EA research candidates. The first post in this series was: Improving the EA-Aligned Research Pipeline Further posts in this series will be released soon. Links: Original post A central directory for open research questions EA is vetting-constrained Ben Todd discussing organizational capacity, infrastructure, and management bottlenecks Call to action anonymous form --- Send in a voice message: https://anchor.fm/ea-forum-podcast/message

Episode 25 of the T&S podcast sees us reaching out beyond The University of Southampton to speak with Sam Nolan. Sam is currently Assistant Director at Durham University’s Centre for Academic Development but is also well known nationally and internationally for developing a number of scholarly development initiatives across the sector. He is a strong advocate for celebrating the contributions and raising the profile of teaching focused academics at higher education institutions. We catch up with Sam to hear about all his recent projects, his views on educational leadership, plus the TEF (Durham have Gold, just in case you were wondering!).

A special Quinn’s Mechanism edition of Skye Mail! Join the voices of Sam Nolan, Hope Lezner, Quinn McDunn, and Keyzer as we discuss the show, our characters, the dietary needs of a cursed tome, how S.J. could end us all, and Kale’s extremely dubious casting methods. Starring Amy Y. (https://twitter.com/achill3a), Rebecca M. (https://twitter.com/DokBlock), Kale B. (https://twitter.com/SuperHumanFoods), and Shay v. G. (https://twitter.com/shaywilds) as Keyzer. Edited by Kale B. with no assistance from S.J. Ryker (https://twitter.com/LookWhosFhtagn), and it shows. Cover art by Kale B. The character of Keyzer is one of our Patreon backer’s noirsonas. They were included in Quinn’s Mechanism with the consent of the associated patron. If you’d like to know more about them, their character profile and story updates are available to read on our website (https://www.blakeskyepi.com/noirsonas#keyzer). Interested in having a noirsona of your own? Consider supporting us on Patreon (https://www.patreon.com/BlakeSkyePI)! Meatball Parade (https://incompetech.filmmusic.io/song/4993-meatball-parade), Long Note Three (https://incompetech.filmmusic.io/song/3993-long-note-three), and Long Note Four (https://filmmusic.io/song/3991-long-note-four) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/)

Finding herself left with a missing research assistant and in possession of a recording she cannot allow anyone to hear, Professor Lezner solicits help from Deacon University library archival assistant Samantha Nolan to complete her research. Quinn’s Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Amy Y. as Professor Hope Lezner(https://twitter.com/achill3a), Rebecca M. as Sam Nolan (https://twitter.com/DokBlock), and Kale B. as Quinn McDunn (https://twitter.com/SuperHumanFoods). Featuring special guests Ness B. as Professor August Howard (https://twitter.com/NessRocker) and S.J. Ryker as Blake Skye (https://twitter.com/LookWhosFhtagn). Written and edited by Kale B. with special assistance from S.J. Ryker. Cover art by Kale B. Support us on Patreon(https://www.patreon.com/BlakeSkyePI)! Deadly Roulette (https://filmmusic.io/song/3625-deadly-roulette), Long Note One (https://filmmusic.io/song/3992-long-note-one), Long Note Two (https://incompetech.filmmusic.io/song/3994-long-note-two), and Long Note Three (https://incompetech.filmmusic.io/song/3993-long-note-three) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/3.0/)

An argument between Quinn and Professor Lezner is interrupted by an unfamiliar face. Hope finds herself on the receiving end of a threat. Quinn learns something they shouldn’t have. Quinn’s Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Starring Amy Y. as Professor Hope Lezner (https://twitter.com/achill3a), Rebecca M. as Sam Nolan (https://twitter.com/DokBlock), and Kale B. as Quinn McDunn (https://twitter.com/SuperHumanFoods). Introducing Shay v. G. as Keyzer (https://twitter.com/shaywilds). Written and edited by Kale B. with special assistance from S.J. Ryker (https://twitter.com/LookWhosFhtagn). Cover art by Kale B. The character of Keyzer is one of our Patreon backer’s noirsonas. They were included in Quinn’s Mechanism with the consent of the associated patron. If you’d like to know more about them, their character profile and story updates are available to read on our website (https://www.blakeskyepi.com/noirsonas#keyzer). Interested in having a noirsona of your own? Consider supporting us on Patreon (https://www.patreon.com/BlakeSkyePI)! Deadly Roulette (https://filmmusic.io/song/3625-deadly-roulette), Long Note One (https://filmmusic.io/song/3992-long-note-one), Long Note Two (https://incompetech.filmmusic.io/song/3994-long-note-two), and Long Note Three (https://incompetech.filmmusic.io/song/3993-long-note-three) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/3.0/)

After receiving a stern reprimand from Professor Lezner, Quinn finally opens the book. The archive room recorder experiences a strange malfunction. Quinn’s Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Introducing Amy Y. as Professor Hope Lezner (https://twitter.com/achill3a), Rebecca M. as Sam Nolan (https://twitter.com/DokBlock), and Kale B. as Quinn McDunn (https://twitter.com/SuperHumanFoods). Featuring special guest Ness B. as Professor August Howard (https://twitter.com/Nessrocker). Written and edited by Kale B. with special assistance from S.J. Ryker (https://twitter.com/LookWhosFhtagn). Cover art by Kale B. Support us on Patreon! (https://www.patreon.com/BlakeSkyePI) Deadly Roulette (https://filmmusic.io/song/3625-deadly-roulette), Long Note Two (https://incompetech.filmmusic.io/song/3994-long-note-two), and Long Note Three (https://incompetech.filmmusic.io/song/3993-long-note-three) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/3.0/)

In a secluded corner of the Deacon University campus, something strange begins to brew as hapless research assistant Quinn McDunn begins their evaluation of a very unusual text. Quinn’s Mechanism is a supplementary story to Blake Skye: Private Eye and is considered canonical. Introducing Amy Y. as Professor Hope Lezner (https://twitter.com/achill3a), Rebecca M. as Sam Nolan (https://twitter.com/DokBlock), and Kale B. as Quinn McDunn (https://twitter.com/SuperHumanFoods). Written and edited by Kale B. with special assistance from S.J. Ryker (https://twitter.com/LookWhosFhtagn). Cover art by Kale B. Support us on Patreon! (https://www.patreon.com/BlakeSkyePI) Deadly Roulette (https://filmmusic.io/song/3625-deadly-roulette), Long Note Two (https://incompetech.filmmusic.io/song/3994-long-note-two), and Long Note Three (https://incompetech.filmmusic.io/song/3993-long-note-three) by Kevin MacLeod (https://incompetech.com). Licensed under Creative Commons: By Attribution 4.0 (http://creativecommons.org/licenses/by/3.0/)

Amazon US: https://amzn.to/2UGeXto (https://amzn.to/2UGeXto)   Universal Link: https://books2read.com/SHDApp4 (https://books2read.com/SHDApp4)   Print: https://amzn.to/39GbaC3 (https://amzn.to/39GbaC3)   The perfect shade of lipstick can lead to the perfect opportunity for sin…   When Chihuahua shifter, Sam Nolan, gets invited to go on a night out on the town with her two best friends, she isn't prepared for the evening that awaits her. Hungry, overworked, and no stranger to really bad dates, she arrives at a masked party at an art museum in time to meet debonair artist William Chandler and to try out a new app for shifters. One look from his luminous green eyes and Sam knows this will be a night to remember…   An app made for shifters on the hunt for love can work the most amazing magic…   Bear shifter, William Chandler, would rather be in his studio taking pictures than showing his art. When he spies a sexy shifter standing in front of one of his pieces, his entire world snaps into focus. But when an unruly reviewer threatens to ruin their evening, he gets a whole lot more than he bargained for. William is about to discover some of the best things in life come in small packages with attitude to match. Please remember you can go ahead and download your own FREE Experiential erotic Story just by coming to see me at https://wyldedesires.com/ (https://wyldedesires.com) Support this podcast

Do you hold yourself back from being visible? Do you stop yourself from speaking up? And do you sometimes feel like you’re a ‘bit player’ in your own life?If you’re nodding your head right now, you are not alone — so many women struggle with these exact same blocks. That’s why this conversation with today’s podcast guest, Sam Nolan-Smith, is so important. Sam’s here to help us unpack the hidden beliefs and systems that are keeping us silent and unseen, so that we can step up as leaders and show up in the world as our full, true selves.Sam Nolan-Smith is a business alignment coach, speaker, and founder of The School Of Visibility — an online hub for women who want to speak up, share their wisdom, and change people’s lives for good.In this very special episode, I chat with Sam about why visibility is a “women’s issue”, how to harness the power of habits to change your patterns, why it feels so scary to share your truth, and the uncomfortable moment when I had to check my privilege. As always, it’s a no-holds-barred discussion — I hope you enjoy!So what’s this conversation REALLY about?How Sam found herself on this journey to make the invisible visibleThe importance of finding your purpose first, then following through with the hustleThe truth about why you feel scared to be seen or speak up (and no, it’s not all in your head!)Why is visibility harder for women than men?We’ve all heard the saying “boys will be boys” — why is there no equivalent for girls?How do ethnicity, culture and race play a part in the visibility of women (and why is it so hard to see our own privilege?)Strategies for staying on track when you’re creating new habitsClearing your blocks around feminism and visibilityThat time Sam accidentally wrote a viral Facebook post that got read by one million people (not a typo!)How to deal with nerves and lack of confidenceThe divine power in using your voicePlus so much moreIf you want to know more about clearing your visibility fears, embodying a new form of leadership, and finding the confidence to speak your truth, this episode is for you.Links:Sam’s Website Sam’s InstagramSam’s School Continue the conversation with Lisa:Instagram | Facebook

In what is undoubtedly our longest episode to date, we decided (against our better judgment) to revisit all five movie in the Jurassic Park franchise, from the original 1993 film all the way to the newly released Jurassic World: Fallen Kingdom, we dissect the few successes and many failures of the series thus far. Needless to say, we have plenty of agreements, disagreements, and insights along the way, and at the end of the show we give our individual pitches for where we’d like the franchise to go. Hosted by Sam Noland, Jason Read, and Anthony Battaglia! 00:2:04 - Introduction 00:2:54 - Jurassic Park 00:13:56 - The Lost World: Jurassic Park 00:26:36 - Jurassic Park III 00:40:32 - Jurassic World 01:07:42 - Jurassic World: Fallen Kingdom (Spoiler-Free) 01:24:25 - Jurassic World: Fallen Kingdom (Spoiler-Filled) 01:38:40 - What we (desperately) want from the Jurassic Franchise 1:47:06 - Conclusion Question For You: What do you want to see from the Jurassic franchise (that we probably will never see at this rate)? Send us feedback! Leave a comment: jonnegroni.com Email us: ataigpodcast@gmail.com Follow us on Twitter: @AnywayCast Follow our reviews! Anthony Battaglia on letterboxd Jason Read on letterboxd Sam Noland on letterboxd Support the show.

In what is undoubtedly our longest episode to date, we decided (against our better judgment) to revisit all five movie in the Jurassic Park franchise, from the original 1993 film all the way to the newly released Jurassic World: Fallen Kingdom, we dissect the few successes and many failures of the series thus far. Needless to say, we have plenty of agreements, disagreements, and insights along the way, and at the end of the show we give our individual pitches for where we’d like the franchise to go. Hosted by Sam Noland, Jason Read, and Anthony Battaglia! 00:2:04 - Introduction 00:2:54 - Jurassic Park 00:13:56 - The Lost World: Jurassic Park 00:26:36 - Jurassic Park III 00:40:32 - Jurassic World 01:07:42 - Jurassic World: Fallen Kingdom (Spoiler-Free) 01:24:25 - Jurassic World: Fallen Kingdom (Spoiler-Filled) 01:38:40 - What we (desperately) want from the Jurassic Franchise 1:47:06 - Conclusion Question For You: What do you want to see from the Jurassic franchise (that we probably will never see at this rate)? Send us feedback! Leave a comment: jonnegroni.com Email us: ataigpodcast@gmail.com Follow us on Twitter: @AnywayCast Follow our reviews! Anthony Battaglia on letterboxd Jason Read on letterboxd Sam Noland on letterboxd Support the show.

An octopus at the National Aquarium of New Zealand sliped out of its tank, crawled across floor, and escaped down pipe to ocean, leading Anthony and Jeff to worry that the cephalopod uprising has begun. What is the ramifications of intelligent octopi escape their confines when we know... they's aliens! We Have Concerns is entirely listener supported! To keep us ad-free and get early episodes/bonus content, check out our Patreon: http://patreon.com/wehaveconcerns Get all your sweet We Have Concerns merch by swinging by http://wehaveconcerns.com/shop Hey! If you’re enjoying the show, please take a moment to rate/review it on whatever service you use to listen. Here’s the iTunes link: http://bit.ly/wehaveconcerns And here’s the Stitcher link: http://bit.ly/stitcherwhc Jeff on Twitter: http://twitter.com/jeffcannata Anthony on Twitter: http://twitter.com/acarboni Today’s story was sent in by many of you, including Sam Nolan: https://www.washingtonpost.com/news/animalia/wp/2016/04/13/octopus-slips-out-of-aquarium-tank-crawls-across-floor-escapes-down-pipe-to-ocean/ If you’ve seen a story you think belongs on the show, send it to wehaveconcernsshow@gmail.com or leave it on the subreddit: http://reddit.com/r/wehaveconcerns

A writer for Wired clicked 'like' on every single article, update, or advertisement that Facebook presented to him over the course of two days, and described what it did to his feed. It turns out, the algorithm can go pretty wild if you're willing to follow it down the rabbit hole of thumbs up.  This leads Anthony to rail against social media and socializing in general, and Jeff to wonder what it means to be a machine. Support us on Patreon!  http://patreon.com/wehaveconcerns Hey! If you're enjoying the show, please take a moment to rate/review it on whatever service you use to listen. Here's the iTunes link: http://bit.ly/wehaveconcerns Jeff on Twitter: http://twitter.com/jeffcannata Anthony on Twitter: http://twitter.com/acarboni Articles sent in by Sam Nolan:  http://www.wired.com/2014/08/i-liked-everything-i-saw-on-facebook-for-two-days-heres-what-it-did-to-me/   and Eric Trapp:  http://nymag.com/thecut/2014/08/hate-facebook-or-your-life.html