{A} increases your chance of getting {B} by {round((P1/P0 - 1) * 100)}%.
{A} reduces your chance of avoiding {B} by {round((P1 - P0)*100/(1 - P0))}%.
By taking {A}, {round((P1/P0 - 1) * 100)}% more people like you will experience {B}.
By taking {A}, {round((P1 - P0)*1000/(1 - P0))/10}% fewer people like you will avoid {B}.
Your chance of developing {B} without {A} is {round(P0 * 1000)/10}%, which is increased to {round(P1 * 1000)/10}% with {A}.
Your chance of developing {B} without {A} is {round(P0 * D)} in {D}, which is increased to {round(P1 * D)} in {D} with {A}.
Your chance of avoiding {B} without {A} is {round((1-P0) * 1000)/10}%, which is reduced to {round((1-P1) * 1000)/10}% with {A}.
Your chance of avoiding {B} without {A} is {round((1-P0) * D)} in {D}, which is reduced to {round((1-P1) * D)} in {D} with {A}.
{round(P0 * 1000)/10}% of people like you will develop {B} without {A}, while {round(P1 * 1000)/10}% will develop {B} with {A}.
{round((1-P0)*1000)/10} percent of people like you will be free of {B} without taking {A}, while {round((1-P1)*1000)/10} percent will be free of {B} with {A}.
{round(P0 * D)} out of {D} people like you will develop {B} without taking {A}, while {round(P1 * D)} out of {D} will develop {B} with {A}.
{round((1 - P0) * D)} out of {D} people like you will be free of {B} without taking {A}, while {round((1 - P1) * D)} out of {D} like you will develop {B} despite having taken {A}.
In order to have one extra person get {B}, we would need to treat {round(1/(P1 - P0))} people like you with {A}.
{A} reduces your chance of getting {B} by {round((1 - P1/P0) * 100)}%.
{A} increases your chance of avoiding {B} by {round((P0 - P1)*100/(1 - P0))}%.
By taking {A}, {round((1 - P1/P0) * 100)}% fewer people like you will experience {B}.
By taking {A}, {round((P0 - P1)*100/(1 - P0))}% more people like you will avoid {B}.
Your chance of developing {B} without {A} is {round(P0 * 1000)/10}%, which is reduced to {round(P1 * 1000)/10}% with {A}.
Your chance of developing {B} without {A} is {round(P0 * D)} in {D}, which is reduced to {round(P1 * D)} in {D} with {A}.
Your chance of avoiding {B} without {A} is {round((1-P0) * 1000)/10}%, which is increased to {round((1-P1) * 1000)/10}% with {A}.
Your chance of avoiding {B} without {A} is {round((1-P0) * D)} in {D}, which is increased to {round((1-P1) * D)} in {D} with {A}.
{round(P0 * 1000)/10}% of people like you will develop {B} without {A}, while only {round(P1 * 1000)/10}% will develop {B} with {A}.
{round((1-P0)*1000)/10} percent of people like you will be free of {B} without taking {A}, while {round((1-P1)*1000)/10} percent of people will be free of {B} with {A}.
{round(P0 * D)} out of {D} people like you will develop {B} without taking {A}, while {round(P1 * D)} out of {D} will develop {B} with {A}.
{round((1 - P0) * D)} out of {D} people like you will be free of {B} without taking {A}, while {round((1 - P1) * D)} out of {D} will develop {B} despite having taken {A}.
In order to save one person from getting {B}, we would need to treat {round(1/(P0 - P1))} people like you with {A}.